From 67936528b5e785920987e58c1f4ccb53a7718580 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 28 Sep 2026 05:30:19 +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/eng-latn-10mb-after-ppt-shuff-dyck-disjoint-tok-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 | 11 + 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-1500/added_tokens.json | 1202 ++ checkpoint-1500/config.json | 34 + checkpoint-1500/generation_config.json | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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 | 11 + 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-9240/added_tokens.json | 1202 ++ checkpoint-9240/config.json | 34 + checkpoint-9240/generation_config.json | 11 + checkpoint-9240/model.safetensors | 3 + checkpoint-9240/rng_state.pth | 3 + checkpoint-9240/special_tokens_map.json | 1249 ++ checkpoint-9240/spiece.model | 3 + checkpoint-9240/tokenizer_config.json | 10825 +++++++++++++ checkpoint-9240/trainer_state.json | 18712 ++++++++++++++++++++++ checkpoint-9240/training_args.bin | 3 + config.json | 34 + generation_config.json | 11 + model.safetensors | 3 + special_tokens_map.json | 1249 ++ spiece.model | 3 + tokenizer_config.json | 10825 +++++++++++++ training_args.bin | 3 + 200 files changed, 458955 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-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-9240/added_tokens.json create mode 100644 checkpoint-9240/config.json create mode 100644 checkpoint-9240/generation_config.json create mode 100644 checkpoint-9240/model.safetensors create mode 100644 checkpoint-9240/rng_state.pth create mode 100644 checkpoint-9240/special_tokens_map.json create mode 100644 checkpoint-9240/spiece.model create mode 100644 checkpoint-9240/tokenizer_config.json create mode 100644 checkpoint-9240/trainer_state.json create mode 100644 checkpoint-9240/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..54ef342 --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +base_model: fpadovani/eng-latn-10mb-ppt-shuff-dyck-disjoint-tok_seed3407 +library_name: transformers +model_name: eng-latn-10mb-after-ppt-shuff-dyck-disjoint-tok-ckpt500_seed3407 +tags: +- generated_from_trainer +- trl +- sft +licence: license +--- + +# Model Card for eng-latn-10mb-after-ppt-shuff-dyck-disjoint-tok-ckpt500_seed3407 + +This model is a fine-tuned version of [fpadovani/eng-latn-10mb-ppt-shuff-dyck-disjoint-tok_seed3407](https://huggingface.co/fpadovani/eng-latn-10mb-ppt-shuff-dyck-disjoint-tok_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/eng-latn-10mb-after-ppt-shuff-dyck-disjoint-tok-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 + +[Visualize in Weights & Biases](https://wandb.ai/f-padovani-university-of-groningen/new_tokenizers/runs/cxdg091i) + + +This model was trained with SFT. + +### Framework versions + +- TRL: 0.23.0 +- Transformers: 4.56.2 +- Pytorch: 2.5.1+cu121 +- 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 @@ +{ + "": 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-1000/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..f6ec579 --- /dev/null +++ b/checkpoint-1000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:013cd71f837ab502857d8d5117225e273bc4ec5103d255ad4c0140bda90f4fcf +size 78179408 diff --git a/checkpoint-1000/rng_state.pth b/checkpoint-1000/rng_state.pth new file mode 100644 index 0000000..a93f0cc --- /dev/null +++ b/checkpoint-1000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7a15e67a38c9f6b59b85dfa38065dac454088267a70ab80e00cab9f3e4dbd85d +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-1000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-1000/trainer_state.json b/checkpoint-1000/trainer_state.json new file mode 100644 index 0000000..6465d0a --- /dev/null +++ b/checkpoint-1000/trainer_state.json @@ -0,0 +1,2056 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0811249323958896, + "eval_steps": 500, + "global_step": 1000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 517821876633600.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-1000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-1500/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..326107a --- /dev/null +++ b/checkpoint-1500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e752eb4666fb7d9ce23d9a88a6b0ff41d4c2b2599b3b821133f0b158a263cfd9 +size 78179408 diff --git a/checkpoint-1500/rng_state.pth b/checkpoint-1500/rng_state.pth new file mode 100644 index 0000000..9cfceb9 --- /dev/null +++ b/checkpoint-1500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:339e89fcac45b7e64218fefc2f664ec4318fab6daa913020515a69894e18f265 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-1500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-1500/trainer_state.json b/checkpoint-1500/trainer_state.json new file mode 100644 index 0000000..226866d --- /dev/null +++ b/checkpoint-1500/trainer_state.json @@ -0,0 +1,3067 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.6219578150351541, + "eval_steps": 500, + "global_step": 1500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 775440484761600.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-1500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-2000/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..8980cb0 --- /dev/null +++ b/checkpoint-2000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:64a93b3156fe3c27c94cb6ceee5f26cb94a9a0a82e4d6b0eba8ca405d1615a83 +size 78179408 diff --git a/checkpoint-2000/rng_state.pth b/checkpoint-2000/rng_state.pth new file mode 100644 index 0000000..f287c26 --- /dev/null +++ b/checkpoint-2000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:808729f922a0f454028bfdc40439cbae395557050eec32b506138135dbc11092 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-2000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-2000/trainer_state.json b/checkpoint-2000/trainer_state.json new file mode 100644 index 0000000..6ee8041 --- /dev/null +++ b/checkpoint-2000/trainer_state.json @@ -0,0 +1,4078 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.162249864791779, + "eval_steps": 500, + "global_step": 2000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 1035537824563200.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-2000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-2500/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..58e5e83 --- /dev/null +++ b/checkpoint-2500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b22645240928474f0e3865d83cdbff90a3b769e4cf65478286b234a5a1d2d80a +size 78179408 diff --git a/checkpoint-2500/rng_state.pth b/checkpoint-2500/rng_state.pth new file mode 100644 index 0000000..6e52856 --- /dev/null +++ b/checkpoint-2500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62c40c2f7771a7797c5495fceb364101e086b141ee0868d2064ae5edd0cf5db3 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-2500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-2500/trainer_state.json b/checkpoint-2500/trainer_state.json new file mode 100644 index 0000000..72d8d92 --- /dev/null +++ b/checkpoint-2500/trainer_state.json @@ -0,0 +1,5089 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.703082747431044, + "eval_steps": 500, + "global_step": 2500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 1303864311398400.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-2500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-3000/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..78e8830 --- /dev/null +++ b/checkpoint-3000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3fc658546215f3d552df02d0c9dddc26db80afdbb22ad0686cc4bc05567a273c +size 78179408 diff --git a/checkpoint-3000/rng_state.pth b/checkpoint-3000/rng_state.pth new file mode 100644 index 0000000..74bdcf2 --- /dev/null +++ b/checkpoint-3000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b9cadf8820770ca053bf287ecbdd1fb3260009878e92bd97b886734dd1a75a11 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-3000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-3000/trainer_state.json b/checkpoint-3000/trainer_state.json new file mode 100644 index 0000000..7f172b2 --- /dev/null +++ b/checkpoint-3000/trainer_state.json @@ -0,0 +1,6100 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.243374797187669, + "eval_steps": 500, + "global_step": 3000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 1561509553029120.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-3000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-3500/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..ae9186a --- /dev/null +++ b/checkpoint-3500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4544fadd266ca5a68f67b48f76becfab3350de58bd4eb890650be3da3a993338 +size 78179408 diff --git a/checkpoint-3500/rng_state.pth b/checkpoint-3500/rng_state.pth new file mode 100644 index 0000000..fb2c38c --- /dev/null +++ b/checkpoint-3500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:39f4423fd7024f9760b8f5cfa546414c52244333db974a1b35a419413a7fef24 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-3500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-3500/trainer_state.json b/checkpoint-3500/trainer_state.json new file mode 100644 index 0000000..60926bc --- /dev/null +++ b/checkpoint-3500/trainer_state.json @@ -0,0 +1,7111 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.7842076798269337, + "eval_steps": 500, + "global_step": 3500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 1822957332480000.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-3500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-4000/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..6e421b8 --- /dev/null +++ b/checkpoint-4000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2fb9c65b68c6febc932ea4ef208e62e60a64422ea22cb85657bde188d61e9de +size 78179408 diff --git a/checkpoint-4000/rng_state.pth b/checkpoint-4000/rng_state.pth new file mode 100644 index 0000000..f028a4b --- /dev/null +++ b/checkpoint-4000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5a530cceac84a15f742936bbb94dbd1f668e23df2758673f447449ec995502f5 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-4000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-4000/trainer_state.json b/checkpoint-4000/trainer_state.json new file mode 100644 index 0000000..2ea02e0 --- /dev/null +++ b/checkpoint-4000/trainer_state.json @@ -0,0 +1,8122 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 4.324499729583558, + "eval_steps": 500, + "global_step": 4000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 2080508751544320.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-4000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-4500/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..c86cc29 --- /dev/null +++ b/checkpoint-4500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7695ec00b5032261cffa029ad0305d2da0bae2bb9a6695a4d8e6065ed89b098b +size 78179408 diff --git a/checkpoint-4500/rng_state.pth b/checkpoint-4500/rng_state.pth new file mode 100644 index 0000000..706220f --- /dev/null +++ b/checkpoint-4500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f947087d85f7cbe64683f880aea2b78a0d56b604492eda6d5a1d3a123f42a52a +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-4500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-4500/trainer_state.json b/checkpoint-4500/trainer_state.json new file mode 100644 index 0000000..1e65072 --- /dev/null +++ b/checkpoint-4500/trainer_state.json @@ -0,0 +1,9133 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 4.865332612222823, + "eval_steps": 500, + "global_step": 4500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 2338775038033920.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-4500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-500/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..8eac0a7 --- /dev/null +++ b/checkpoint-500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dd9baf49c3e15af7281ba4a006e7f20ca07b38303d856a6f0e205ce6c0e5746f +size 78179408 diff --git a/checkpoint-500/rng_state.pth b/checkpoint-500/rng_state.pth new file mode 100644 index 0000000..f521c9c --- /dev/null +++ b/checkpoint-500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3f31c211a30bd148e50bf0cb523e58fdbd18e4987b135d86e5d617ce828692c3 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-500/trainer_state.json b/checkpoint-500/trainer_state.json new file mode 100644 index 0000000..82c8696 --- /dev/null +++ b/checkpoint-500/trainer_state.json @@ -0,0 +1,1045 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.5408328826392644, + "eval_steps": 500, + "global_step": 500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 259611278376960.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-5000/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..ca51b91 --- /dev/null +++ b/checkpoint-5000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e6a48eea34edc541a9b04ad9887c041ce7b1fdb16dd37de503ef69f442096b7a +size 78179408 diff --git a/checkpoint-5000/rng_state.pth b/checkpoint-5000/rng_state.pth new file mode 100644 index 0000000..1a7549e --- /dev/null +++ b/checkpoint-5000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7533106ef0dcf23c15e9f0f374bea0bca48ad72784f47053464e8d93dbbcdd22 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-5000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-5000/trainer_state.json b/checkpoint-5000/trainer_state.json new file mode 100644 index 0000000..f29ce16 --- /dev/null +++ b/checkpoint-5000/trainer_state.json @@ -0,0 +1,10144 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 5.405624661979449, + "eval_steps": 500, + "global_step": 5000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + }, + { + "entropy": 5.5260412216186525, + "epoch": 4.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0003273583644789772, + "loss": 5.0416, + "mean_token_accuracy": 0.2119097203016281, + "num_tokens": 10116420.0, + "step": 4505 + }, + { + "entropy": 5.480229425430298, + "epoch": 4.876149269875609, + "grad_norm": 0.984375, + "learning_rate": 0.00032694112553039795, + "loss": 5.0407, + "mean_token_accuracy": 0.20997347682714462, + "num_tokens": 10127289.0, + "step": 4510 + }, + { + "entropy": 5.582333183288574, + "epoch": 4.881557598702001, + "grad_norm": 0.89453125, + "learning_rate": 0.0003265236978276484, + "loss": 5.1776, + "mean_token_accuracy": 0.2014921173453331, + "num_tokens": 10139216.0, + "step": 4515 + }, + { + "entropy": 5.586625242233277, + "epoch": 4.886965927528394, + "grad_norm": 0.9609375, + "learning_rate": 0.00032610608288766185, + "loss": 5.0455, + "mean_token_accuracy": 0.22018371075391768, + "num_tokens": 10150010.0, + "step": 4520 + }, + { + "entropy": 5.507440090179443, + "epoch": 4.8923742563547865, + "grad_norm": 0.93359375, + "learning_rate": 0.00032568828222805216, + "loss": 5.0416, + "mean_token_accuracy": 0.21397803723812103, + "num_tokens": 10161317.0, + "step": 4525 + }, + { + "entropy": 5.520569133758545, + "epoch": 4.897782585181179, + "grad_norm": 1.0390625, + "learning_rate": 0.0003252702973671075, + "loss": 5.0784, + "mean_token_accuracy": 0.22154383063316346, + "num_tokens": 10172681.0, + "step": 4530 + }, + { + "entropy": 5.564612579345703, + "epoch": 4.903190914007571, + "grad_norm": 0.9375, + "learning_rate": 0.00032485212982378615, + "loss": 5.0628, + "mean_token_accuracy": 0.21105246245861053, + "num_tokens": 10184755.0, + "step": 4535 + }, + { + "entropy": 5.513889312744141, + "epoch": 4.908599242833964, + "grad_norm": 1.015625, + "learning_rate": 0.0003244337811177098, + "loss": 5.0479, + "mean_token_accuracy": 0.21932805627584456, + "num_tokens": 10195252.0, + "step": 4540 + }, + { + "entropy": 5.543384790420532, + "epoch": 4.914007571660357, + "grad_norm": 0.97265625, + "learning_rate": 0.0003240152527691586, + "loss": 5.152, + "mean_token_accuracy": 0.1962687239050865, + "num_tokens": 10207660.0, + "step": 4545 + }, + { + "entropy": 5.5311463356018065, + "epoch": 4.91941590048675, + "grad_norm": 0.94140625, + "learning_rate": 0.00032359654629906555, + "loss": 5.0906, + "mean_token_accuracy": 0.21332904547452927, + "num_tokens": 10218154.0, + "step": 4550 + }, + { + "entropy": 5.496583652496338, + "epoch": 4.924824229313142, + "grad_norm": 0.92578125, + "learning_rate": 0.00032317766322901106, + "loss": 5.0363, + "mean_token_accuracy": 0.2050163671374321, + "num_tokens": 10229624.0, + "step": 4555 + }, + { + "entropy": 5.5351176261901855, + "epoch": 4.930232558139535, + "grad_norm": 0.97265625, + "learning_rate": 0.000322758605081217, + "loss": 5.0029, + "mean_token_accuracy": 0.2171091064810753, + "num_tokens": 10240338.0, + "step": 4560 + }, + { + "entropy": 5.489692735671997, + "epoch": 4.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.00032233937337854167, + "loss": 5.0781, + "mean_token_accuracy": 0.21066401302814483, + "num_tokens": 10250721.0, + "step": 4565 + }, + { + "entropy": 5.483132600784302, + "epoch": 4.9410492157923205, + "grad_norm": 0.85546875, + "learning_rate": 0.0003219199696444741, + "loss": 5.1115, + "mean_token_accuracy": 0.20521238595247268, + "num_tokens": 10262596.0, + "step": 4570 + }, + { + "entropy": 5.630878591537476, + "epoch": 4.9464575446187125, + "grad_norm": 0.9375, + "learning_rate": 0.00032150039540312843, + "loss": 5.2161, + "mean_token_accuracy": 0.20218149423599244, + "num_tokens": 10275043.0, + "step": 4575 + }, + { + "entropy": 5.597415924072266, + "epoch": 4.951865873445105, + "grad_norm": 0.86328125, + "learning_rate": 0.00032108065217923836, + "loss": 5.1768, + "mean_token_accuracy": 0.20507008731365203, + "num_tokens": 10286593.0, + "step": 4580 + }, + { + "entropy": 5.684569835662842, + "epoch": 4.957274202271498, + "grad_norm": 0.91796875, + "learning_rate": 0.00032066074149815184, + "loss": 5.1852, + "mean_token_accuracy": 0.20786730647087098, + "num_tokens": 10297459.0, + "step": 4585 + }, + { + "entropy": 5.420581722259522, + "epoch": 4.962682531097891, + "grad_norm": 0.8984375, + "learning_rate": 0.00032024066488582517, + "loss": 4.9087, + "mean_token_accuracy": 0.22307772785425187, + "num_tokens": 10308397.0, + "step": 4590 + }, + { + "entropy": 5.616361284255982, + "epoch": 4.968090859924283, + "grad_norm": 0.9921875, + "learning_rate": 0.0003198204238688178, + "loss": 5.1932, + "mean_token_accuracy": 0.20035981386899948, + "num_tokens": 10319648.0, + "step": 4595 + }, + { + "entropy": 5.652286148071289, + "epoch": 4.973499188750676, + "grad_norm": 0.94140625, + "learning_rate": 0.00031940001997428645, + "loss": 5.1707, + "mean_token_accuracy": 0.2010723575949669, + "num_tokens": 10330922.0, + "step": 4600 + }, + { + "entropy": 5.523626327514648, + "epoch": 4.978907517577069, + "grad_norm": 1.03125, + "learning_rate": 0.00031897945472997996, + "loss": 5.0548, + "mean_token_accuracy": 0.20578106194734574, + "num_tokens": 10341959.0, + "step": 4605 + }, + { + "entropy": 5.5449658870697025, + "epoch": 4.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0003185587296642333, + "loss": 5.1312, + "mean_token_accuracy": 0.21090947985649108, + "num_tokens": 10353125.0, + "step": 4610 + }, + { + "entropy": 5.567223691940308, + "epoch": 4.9897241752298545, + "grad_norm": 1.0546875, + "learning_rate": 0.0003181378463059625, + "loss": 5.155, + "mean_token_accuracy": 0.2045162320137024, + "num_tokens": 10364528.0, + "step": 4615 + }, + { + "entropy": 5.502493953704834, + "epoch": 4.995132504056246, + "grad_norm": 0.8984375, + "learning_rate": 0.0003177168061846584, + "loss": 5.013, + "mean_token_accuracy": 0.21816083341836928, + "num_tokens": 10375252.0, + "step": 4620 + }, + { + "entropy": 5.496442000071208, + "epoch": 5.0, + "grad_norm": 1.84375, + "learning_rate": 0.0003172956108303819, + "loss": 4.9872, + "mean_token_accuracy": 0.216766443517473, + "num_tokens": 10384445.0, + "step": 4625 + }, + { + "entropy": 5.528093242645264, + "epoch": 5.005408328826393, + "grad_norm": 0.88671875, + "learning_rate": 0.0003168742617737579, + "loss": 4.9556, + "mean_token_accuracy": 0.21919166445732116, + "num_tokens": 10396122.0, + "step": 4630 + }, + { + "entropy": 5.603008890151978, + "epoch": 5.010816657652786, + "grad_norm": 0.7890625, + "learning_rate": 0.00031645276054597006, + "loss": 4.9064, + "mean_token_accuracy": 0.2211405813694, + "num_tokens": 10409135.0, + "step": 4635 + }, + { + "entropy": 5.586550092697143, + "epoch": 5.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.00031603110867875435, + "loss": 4.8883, + "mean_token_accuracy": 0.22872422486543656, + "num_tokens": 10421068.0, + "step": 4640 + }, + { + "entropy": 5.501196575164795, + "epoch": 5.0216333153055706, + "grad_norm": 0.953125, + "learning_rate": 0.000315609307704395, + "loss": 4.8529, + "mean_token_accuracy": 0.2281401500105858, + "num_tokens": 10432117.0, + "step": 4645 + }, + { + "entropy": 5.535338020324707, + "epoch": 5.027041644131963, + "grad_norm": 0.8984375, + "learning_rate": 0.0003151873591557176, + "loss": 4.8912, + "mean_token_accuracy": 0.22080296128988267, + "num_tokens": 10443547.0, + "step": 4650 + }, + { + "entropy": 5.5264379501342775, + "epoch": 5.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.00031476526456608415, + "loss": 4.8489, + "mean_token_accuracy": 0.22700522541999818, + "num_tokens": 10455038.0, + "step": 4655 + }, + { + "entropy": 5.550225639343262, + "epoch": 5.037858301784748, + "grad_norm": 0.95703125, + "learning_rate": 0.0003143430254693873, + "loss": 4.9477, + "mean_token_accuracy": 0.21674466133117676, + "num_tokens": 10466682.0, + "step": 4660 + }, + { + "entropy": 5.5271460056304935, + "epoch": 5.043266630611141, + "grad_norm": 1.0078125, + "learning_rate": 0.0003139206434000451, + "loss": 4.9151, + "mean_token_accuracy": 0.22240815162658692, + "num_tokens": 10478575.0, + "step": 4665 + }, + { + "entropy": 5.569495391845703, + "epoch": 5.048674959437534, + "grad_norm": 0.94140625, + "learning_rate": 0.0003134981198929948, + "loss": 4.8959, + "mean_token_accuracy": 0.2266492411494255, + "num_tokens": 10490088.0, + "step": 4670 + }, + { + "entropy": 5.498064756393433, + "epoch": 5.054083288263927, + "grad_norm": 1.0546875, + "learning_rate": 0.00031307545648368777, + "loss": 4.7767, + "mean_token_accuracy": 0.2328466773033142, + "num_tokens": 10499877.0, + "step": 4675 + }, + { + "entropy": 5.46832504272461, + "epoch": 5.059491617090319, + "grad_norm": 0.9765625, + "learning_rate": 0.00031265265470808393, + "loss": 4.7688, + "mean_token_accuracy": 0.23446664959192276, + "num_tokens": 10509830.0, + "step": 4680 + }, + { + "entropy": 5.477397060394287, + "epoch": 5.064899945916712, + "grad_norm": 1.0078125, + "learning_rate": 0.00031222971610264595, + "loss": 4.8014, + "mean_token_accuracy": 0.22999125868082046, + "num_tokens": 10520072.0, + "step": 4685 + }, + { + "entropy": 5.526410722732544, + "epoch": 5.0703082747431045, + "grad_norm": 1.0, + "learning_rate": 0.00031180664220433347, + "loss": 4.9696, + "mean_token_accuracy": 0.22071902453899384, + "num_tokens": 10531260.0, + "step": 4690 + }, + { + "entropy": 5.477414608001709, + "epoch": 5.075716603569497, + "grad_norm": 1.0, + "learning_rate": 0.00031138343455059823, + "loss": 4.8571, + "mean_token_accuracy": 0.22696343213319778, + "num_tokens": 10542971.0, + "step": 4695 + }, + { + "entropy": 5.464529418945313, + "epoch": 5.081124932395889, + "grad_norm": 0.97265625, + "learning_rate": 0.0003109600946793778, + "loss": 4.8392, + "mean_token_accuracy": 0.2284951239824295, + "num_tokens": 10554101.0, + "step": 4700 + }, + { + "entropy": 5.605349922180176, + "epoch": 5.086533261222282, + "grad_norm": 0.94140625, + "learning_rate": 0.00031053662412909024, + "loss": 4.9924, + "mean_token_accuracy": 0.21688981205224991, + "num_tokens": 10565866.0, + "step": 4705 + }, + { + "entropy": 5.453184270858765, + "epoch": 5.091941590048675, + "grad_norm": 0.8671875, + "learning_rate": 0.0003101130244386283, + "loss": 4.8064, + "mean_token_accuracy": 0.23072075247764587, + "num_tokens": 10577276.0, + "step": 4710 + }, + { + "entropy": 5.594261884689331, + "epoch": 5.097349918875068, + "grad_norm": 0.9609375, + "learning_rate": 0.00030968929714735456, + "loss": 5.0054, + "mean_token_accuracy": 0.21874586939811708, + "num_tokens": 10588625.0, + "step": 4715 + }, + { + "entropy": 5.425375604629517, + "epoch": 5.10275824770146, + "grad_norm": 0.96875, + "learning_rate": 0.0003092654437950947, + "loss": 4.8637, + "mean_token_accuracy": 0.22720252275466918, + "num_tokens": 10599833.0, + "step": 4720 + }, + { + "entropy": 5.456516408920288, + "epoch": 5.108166576527853, + "grad_norm": 0.9921875, + "learning_rate": 0.0003088414659221331, + "loss": 4.8677, + "mean_token_accuracy": 0.21797628104686737, + "num_tokens": 10610156.0, + "step": 4725 + }, + { + "entropy": 5.480758142471314, + "epoch": 5.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.000308417365069206, + "loss": 4.8825, + "mean_token_accuracy": 0.22795740216970445, + "num_tokens": 10619839.0, + "step": 4730 + }, + { + "entropy": 5.499576425552368, + "epoch": 5.1189832341806385, + "grad_norm": 0.97265625, + "learning_rate": 0.00030799314277749697, + "loss": 4.8791, + "mean_token_accuracy": 0.22572332620620728, + "num_tokens": 10631671.0, + "step": 4735 + }, + { + "entropy": 5.485957908630371, + "epoch": 5.1243915630070305, + "grad_norm": 1.0, + "learning_rate": 0.00030756880058863085, + "loss": 4.8818, + "mean_token_accuracy": 0.22702433317899703, + "num_tokens": 10642597.0, + "step": 4740 + }, + { + "entropy": 5.547960376739502, + "epoch": 5.129799891833423, + "grad_norm": 1.015625, + "learning_rate": 0.00030714434004466823, + "loss": 4.9414, + "mean_token_accuracy": 0.21335140615701675, + "num_tokens": 10653323.0, + "step": 4745 + }, + { + "entropy": 5.5615216255187985, + "epoch": 5.135208220659816, + "grad_norm": 0.9609375, + "learning_rate": 0.00030671976268809947, + "loss": 4.9737, + "mean_token_accuracy": 0.21917204856872557, + "num_tokens": 10665572.0, + "step": 4750 + }, + { + "entropy": 5.450459241867065, + "epoch": 5.140616549486209, + "grad_norm": 1.09375, + "learning_rate": 0.00030629507006183995, + "loss": 4.8015, + "mean_token_accuracy": 0.22744957357645035, + "num_tokens": 10676686.0, + "step": 4755 + }, + { + "entropy": 5.458092498779297, + "epoch": 5.146024878312601, + "grad_norm": 1.1328125, + "learning_rate": 0.0003058702637092234, + "loss": 4.9562, + "mean_token_accuracy": 0.2186889737844467, + "num_tokens": 10687188.0, + "step": 4760 + }, + { + "entropy": 5.513929224014282, + "epoch": 5.151433207138994, + "grad_norm": 0.95703125, + "learning_rate": 0.00030544534517399724, + "loss": 4.8805, + "mean_token_accuracy": 0.22149462401866912, + "num_tokens": 10698343.0, + "step": 4765 + }, + { + "entropy": 5.509257984161377, + "epoch": 5.156841535965387, + "grad_norm": 0.94921875, + "learning_rate": 0.0003050203160003163, + "loss": 4.8566, + "mean_token_accuracy": 0.2240440934896469, + "num_tokens": 10710732.0, + "step": 4770 + }, + { + "entropy": 5.527531480789184, + "epoch": 5.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.0003045951777327377, + "loss": 4.9337, + "mean_token_accuracy": 0.2243843585252762, + "num_tokens": 10722397.0, + "step": 4775 + }, + { + "entropy": 5.396258449554443, + "epoch": 5.167658193618172, + "grad_norm": 0.96484375, + "learning_rate": 0.0003041699319162148, + "loss": 4.8263, + "mean_token_accuracy": 0.221099328994751, + "num_tokens": 10733714.0, + "step": 4780 + }, + { + "entropy": 5.487423133850098, + "epoch": 5.173066522444564, + "grad_norm": 0.921875, + "learning_rate": 0.00030374458009609193, + "loss": 4.9096, + "mean_token_accuracy": 0.22515179812908173, + "num_tokens": 10745748.0, + "step": 4785 + }, + { + "entropy": 5.6112525939941404, + "epoch": 5.178474851270957, + "grad_norm": 1.015625, + "learning_rate": 0.0003033191238180985, + "loss": 4.9403, + "mean_token_accuracy": 0.2272365614771843, + "num_tokens": 10756094.0, + "step": 4790 + }, + { + "entropy": 5.50868330001831, + "epoch": 5.18388318009735, + "grad_norm": 0.9921875, + "learning_rate": 0.0003028935646283438, + "loss": 4.994, + "mean_token_accuracy": 0.21618228554725646, + "num_tokens": 10768068.0, + "step": 4795 + }, + { + "entropy": 5.4779845714569095, + "epoch": 5.189291508923742, + "grad_norm": 1.03125, + "learning_rate": 0.00030246790407331063, + "loss": 4.8476, + "mean_token_accuracy": 0.2233078360557556, + "num_tokens": 10778917.0, + "step": 4800 + }, + { + "entropy": 5.495712518692017, + "epoch": 5.194699837750135, + "grad_norm": 0.99609375, + "learning_rate": 0.00030204214369985066, + "loss": 4.8669, + "mean_token_accuracy": 0.2277569890022278, + "num_tokens": 10790552.0, + "step": 4805 + }, + { + "entropy": 5.527979612350464, + "epoch": 5.200108166576528, + "grad_norm": 0.94140625, + "learning_rate": 0.00030161628505517797, + "loss": 4.9054, + "mean_token_accuracy": 0.21913376003503798, + "num_tokens": 10803199.0, + "step": 4810 + }, + { + "entropy": 5.44367413520813, + "epoch": 5.205516495402921, + "grad_norm": 0.984375, + "learning_rate": 0.00030119032968686397, + "loss": 4.8415, + "mean_token_accuracy": 0.22889240086078644, + "num_tokens": 10814339.0, + "step": 4815 + }, + { + "entropy": 5.460538148880005, + "epoch": 5.210924824229313, + "grad_norm": 0.9140625, + "learning_rate": 0.00030076427914283127, + "loss": 4.9144, + "mean_token_accuracy": 0.21594512164592744, + "num_tokens": 10825776.0, + "step": 4820 + }, + { + "entropy": 5.530256366729736, + "epoch": 5.2163331530557056, + "grad_norm": 0.99609375, + "learning_rate": 0.00030033813497134864, + "loss": 4.8544, + "mean_token_accuracy": 0.22742793411016465, + "num_tokens": 10837179.0, + "step": 4825 + }, + { + "entropy": 5.434867238998413, + "epoch": 5.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.000299911898721025, + "loss": 4.9009, + "mean_token_accuracy": 0.22611162364482879, + "num_tokens": 10847205.0, + "step": 4830 + }, + { + "entropy": 5.504870128631592, + "epoch": 5.227149810708491, + "grad_norm": 0.859375, + "learning_rate": 0.00029948557194080385, + "loss": 4.8953, + "mean_token_accuracy": 0.2238959863781929, + "num_tokens": 10859895.0, + "step": 4835 + }, + { + "entropy": 5.442061185836792, + "epoch": 5.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.0002990591561799576, + "loss": 4.9241, + "mean_token_accuracy": 0.21286537796258925, + "num_tokens": 10871286.0, + "step": 4840 + }, + { + "entropy": 5.443824434280396, + "epoch": 5.237966468361276, + "grad_norm": 1.03125, + "learning_rate": 0.0002986326529880823, + "loss": 4.756, + "mean_token_accuracy": 0.23349499106407165, + "num_tokens": 10883479.0, + "step": 4845 + }, + { + "entropy": 5.577119398117065, + "epoch": 5.243374797187669, + "grad_norm": 1.125, + "learning_rate": 0.0002982060639150913, + "loss": 4.9296, + "mean_token_accuracy": 0.22659704983234405, + "num_tokens": 10895432.0, + "step": 4850 + }, + { + "entropy": 5.486083078384399, + "epoch": 5.248783126014062, + "grad_norm": 0.953125, + "learning_rate": 0.0002977793905112106, + "loss": 4.9538, + "mean_token_accuracy": 0.22209923714399338, + "num_tokens": 10906891.0, + "step": 4855 + }, + { + "entropy": 5.444073104858399, + "epoch": 5.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00029735263432697183, + "loss": 4.9508, + "mean_token_accuracy": 0.21773838251829147, + "num_tokens": 10917706.0, + "step": 4860 + }, + { + "entropy": 5.456596851348877, + "epoch": 5.259599783666847, + "grad_norm": 0.9609375, + "learning_rate": 0.0002969257969132085, + "loss": 4.9405, + "mean_token_accuracy": 0.2228843316435814, + "num_tokens": 10929325.0, + "step": 4865 + }, + { + "entropy": 5.524547338485718, + "epoch": 5.2650081124932395, + "grad_norm": 1.109375, + "learning_rate": 0.0002964988798210485, + "loss": 4.9319, + "mean_token_accuracy": 0.2103923425078392, + "num_tokens": 10939899.0, + "step": 4870 + }, + { + "entropy": 5.495690202713012, + "epoch": 5.270416441319632, + "grad_norm": 0.9921875, + "learning_rate": 0.0002960718846019095, + "loss": 4.8823, + "mean_token_accuracy": 0.22650152891874314, + "num_tokens": 10949801.0, + "step": 4875 + }, + { + "entropy": 5.351631355285645, + "epoch": 5.275824770146025, + "grad_norm": 1.0078125, + "learning_rate": 0.0002956448128074931, + "loss": 4.7594, + "mean_token_accuracy": 0.2333318457007408, + "num_tokens": 10960191.0, + "step": 4880 + }, + { + "entropy": 5.565910768508911, + "epoch": 5.281233098972417, + "grad_norm": 0.88671875, + "learning_rate": 0.0002952176659897794, + "loss": 5.0229, + "mean_token_accuracy": 0.21818405240774155, + "num_tokens": 10972818.0, + "step": 4885 + }, + { + "entropy": 5.542775964736938, + "epoch": 5.28664142779881, + "grad_norm": 1.015625, + "learning_rate": 0.0002947904457010207, + "loss": 4.9287, + "mean_token_accuracy": 0.21841724514961242, + "num_tokens": 10984320.0, + "step": 4890 + }, + { + "entropy": 5.501249027252197, + "epoch": 5.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0002943631534937366, + "loss": 4.8801, + "mean_token_accuracy": 0.22640899568796158, + "num_tokens": 10995262.0, + "step": 4895 + }, + { + "entropy": 5.385098266601562, + "epoch": 5.297458085451596, + "grad_norm": 0.984375, + "learning_rate": 0.0002939357909207079, + "loss": 4.8709, + "mean_token_accuracy": 0.22468690872192382, + "num_tokens": 11005788.0, + "step": 4900 + }, + { + "entropy": 5.5195540428161625, + "epoch": 5.302866414277988, + "grad_norm": 1.0390625, + "learning_rate": 0.0002935083595349713, + "loss": 4.9028, + "mean_token_accuracy": 0.2290490075945854, + "num_tokens": 11016772.0, + "step": 4905 + }, + { + "entropy": 5.531022310256958, + "epoch": 5.308274743104381, + "grad_norm": 0.92578125, + "learning_rate": 0.00029308086088981335, + "loss": 4.962, + "mean_token_accuracy": 0.22039518356323243, + "num_tokens": 11028917.0, + "step": 4910 + }, + { + "entropy": 5.498329496383667, + "epoch": 5.3136830719307735, + "grad_norm": 1.0546875, + "learning_rate": 0.00029265329653876515, + "loss": 4.9503, + "mean_token_accuracy": 0.21752556413412094, + "num_tokens": 11040500.0, + "step": 4915 + }, + { + "entropy": 5.476529359817505, + "epoch": 5.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.0002922256680355965, + "loss": 4.8668, + "mean_token_accuracy": 0.2250487968325615, + "num_tokens": 11052173.0, + "step": 4920 + }, + { + "entropy": 5.542095422744751, + "epoch": 5.324499729583558, + "grad_norm": 1.109375, + "learning_rate": 0.00029179797693431046, + "loss": 4.8896, + "mean_token_accuracy": 0.22516080290079116, + "num_tokens": 11061917.0, + "step": 4925 + }, + { + "entropy": 5.450285196304321, + "epoch": 5.329908058409951, + "grad_norm": 1.0703125, + "learning_rate": 0.0002913702247891374, + "loss": 4.8752, + "mean_token_accuracy": 0.23229186683893205, + "num_tokens": 11072820.0, + "step": 4930 + }, + { + "entropy": 5.564850187301635, + "epoch": 5.335316387236344, + "grad_norm": 1.0625, + "learning_rate": 0.0002909424131545296, + "loss": 4.9642, + "mean_token_accuracy": 0.22445973008871078, + "num_tokens": 11083140.0, + "step": 4935 + }, + { + "entropy": 5.542190027236939, + "epoch": 5.340724716062737, + "grad_norm": 0.90234375, + "learning_rate": 0.00029051454358515553, + "loss": 4.9289, + "mean_token_accuracy": 0.22055180966854096, + "num_tokens": 11094314.0, + "step": 4940 + }, + { + "entropy": 5.50953254699707, + "epoch": 5.346133044889129, + "grad_norm": 0.92578125, + "learning_rate": 0.00029008661763589436, + "loss": 4.9733, + "mean_token_accuracy": 0.2225899413228035, + "num_tokens": 11106748.0, + "step": 4945 + }, + { + "entropy": 5.510439777374268, + "epoch": 5.351541373715522, + "grad_norm": 0.91796875, + "learning_rate": 0.0002896586368618297, + "loss": 4.9464, + "mean_token_accuracy": 0.22568726241588594, + "num_tokens": 11118702.0, + "step": 4950 + }, + { + "entropy": 5.525369310379029, + "epoch": 5.356949702541915, + "grad_norm": 0.96875, + "learning_rate": 0.00028923060281824483, + "loss": 4.9396, + "mean_token_accuracy": 0.21333917528390883, + "num_tokens": 11130782.0, + "step": 4955 + }, + { + "entropy": 5.4839788436889645, + "epoch": 5.3623580313683075, + "grad_norm": 1.015625, + "learning_rate": 0.0002888025170606165, + "loss": 4.9011, + "mean_token_accuracy": 0.22421319633722306, + "num_tokens": 11142536.0, + "step": 4960 + }, + { + "entropy": 5.483171844482422, + "epoch": 5.367766360194699, + "grad_norm": 1.0, + "learning_rate": 0.00028837438114460924, + "loss": 4.9031, + "mean_token_accuracy": 0.2182278573513031, + "num_tokens": 11154027.0, + "step": 4965 + }, + { + "entropy": 5.48946442604065, + "epoch": 5.373174689021092, + "grad_norm": 1.0625, + "learning_rate": 0.0002879461966260699, + "loss": 4.9259, + "mean_token_accuracy": 0.2160453200340271, + "num_tokens": 11164759.0, + "step": 4970 + }, + { + "entropy": 5.501074504852295, + "epoch": 5.378583017847485, + "grad_norm": 0.953125, + "learning_rate": 0.00028751796506102224, + "loss": 4.9456, + "mean_token_accuracy": 0.22141506671905517, + "num_tokens": 11176341.0, + "step": 4975 + }, + { + "entropy": 5.5393781661987305, + "epoch": 5.383991346673878, + "grad_norm": 0.95703125, + "learning_rate": 0.00028708968800566056, + "loss": 4.906, + "mean_token_accuracy": 0.22104442417621611, + "num_tokens": 11188958.0, + "step": 4980 + }, + { + "entropy": 5.5685571193695065, + "epoch": 5.38939967550027, + "grad_norm": 1.140625, + "learning_rate": 0.00028666136701634474, + "loss": 5.0001, + "mean_token_accuracy": 0.20960879027843476, + "num_tokens": 11200895.0, + "step": 4985 + }, + { + "entropy": 5.529350328445434, + "epoch": 5.394808004326663, + "grad_norm": 0.96875, + "learning_rate": 0.0002862330036495942, + "loss": 4.9108, + "mean_token_accuracy": 0.22896960824728013, + "num_tokens": 11211563.0, + "step": 4990 + }, + { + "entropy": 5.5777318477630615, + "epoch": 5.400216333153056, + "grad_norm": 0.9921875, + "learning_rate": 0.0002858045994620825, + "loss": 5.0099, + "mean_token_accuracy": 0.21429480612277985, + "num_tokens": 11223323.0, + "step": 4995 + }, + { + "entropy": 5.532574558258057, + "epoch": 5.405624661979449, + "grad_norm": 0.9375, + "learning_rate": 0.00028537615601063133, + "loss": 4.9088, + "mean_token_accuracy": 0.2173854023218155, + "num_tokens": 11235991.0, + "step": 5000 + }, + { + "epoch": 5.405624661979449, + "eval_entropy": 5.359868227351796, + "eval_loss": 5.847285270690918, + "eval_mean_token_accuracy": 0.18075780379162593, + "eval_num_tokens": 11235991.0, + "eval_runtime": 3.5358, + "eval_samples_per_second": 994.104, + "eval_steps_per_second": 124.44, + "step": 5000 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 2608297611264000.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-5000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-5500/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..25e8011 --- /dev/null +++ b/checkpoint-5500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f3171cbb1eb444c8efc6642030f2c96afc61770fc362f74adfa710dd0a1c4e11 +size 78179408 diff --git a/checkpoint-5500/rng_state.pth b/checkpoint-5500/rng_state.pth new file mode 100644 index 0000000..ebf712d --- /dev/null +++ b/checkpoint-5500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf1ad5c6cd31f3d45c89403f050937c66f92e35214289880f4a8485ee4626ae7 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-5500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-5500/trainer_state.json b/checkpoint-5500/trainer_state.json new file mode 100644 index 0000000..196a216 --- /dev/null +++ b/checkpoint-5500/trainer_state.json @@ -0,0 +1,11155 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 5.9464575446187125, + "eval_steps": 500, + "global_step": 5500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + }, + { + "entropy": 5.5260412216186525, + "epoch": 4.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0003273583644789772, + "loss": 5.0416, + "mean_token_accuracy": 0.2119097203016281, + "num_tokens": 10116420.0, + "step": 4505 + }, + { + "entropy": 5.480229425430298, + "epoch": 4.876149269875609, + "grad_norm": 0.984375, + "learning_rate": 0.00032694112553039795, + "loss": 5.0407, + "mean_token_accuracy": 0.20997347682714462, + "num_tokens": 10127289.0, + "step": 4510 + }, + { + "entropy": 5.582333183288574, + "epoch": 4.881557598702001, + "grad_norm": 0.89453125, + "learning_rate": 0.0003265236978276484, + "loss": 5.1776, + "mean_token_accuracy": 0.2014921173453331, + "num_tokens": 10139216.0, + "step": 4515 + }, + { + "entropy": 5.586625242233277, + "epoch": 4.886965927528394, + "grad_norm": 0.9609375, + "learning_rate": 0.00032610608288766185, + "loss": 5.0455, + "mean_token_accuracy": 0.22018371075391768, + "num_tokens": 10150010.0, + "step": 4520 + }, + { + "entropy": 5.507440090179443, + "epoch": 4.8923742563547865, + "grad_norm": 0.93359375, + "learning_rate": 0.00032568828222805216, + "loss": 5.0416, + "mean_token_accuracy": 0.21397803723812103, + "num_tokens": 10161317.0, + "step": 4525 + }, + { + "entropy": 5.520569133758545, + "epoch": 4.897782585181179, + "grad_norm": 1.0390625, + "learning_rate": 0.0003252702973671075, + "loss": 5.0784, + "mean_token_accuracy": 0.22154383063316346, + "num_tokens": 10172681.0, + "step": 4530 + }, + { + "entropy": 5.564612579345703, + "epoch": 4.903190914007571, + "grad_norm": 0.9375, + "learning_rate": 0.00032485212982378615, + "loss": 5.0628, + "mean_token_accuracy": 0.21105246245861053, + "num_tokens": 10184755.0, + "step": 4535 + }, + { + "entropy": 5.513889312744141, + "epoch": 4.908599242833964, + "grad_norm": 1.015625, + "learning_rate": 0.0003244337811177098, + "loss": 5.0479, + "mean_token_accuracy": 0.21932805627584456, + "num_tokens": 10195252.0, + "step": 4540 + }, + { + "entropy": 5.543384790420532, + "epoch": 4.914007571660357, + "grad_norm": 0.97265625, + "learning_rate": 0.0003240152527691586, + "loss": 5.152, + "mean_token_accuracy": 0.1962687239050865, + "num_tokens": 10207660.0, + "step": 4545 + }, + { + "entropy": 5.5311463356018065, + "epoch": 4.91941590048675, + "grad_norm": 0.94140625, + "learning_rate": 0.00032359654629906555, + "loss": 5.0906, + "mean_token_accuracy": 0.21332904547452927, + "num_tokens": 10218154.0, + "step": 4550 + }, + { + "entropy": 5.496583652496338, + "epoch": 4.924824229313142, + "grad_norm": 0.92578125, + "learning_rate": 0.00032317766322901106, + "loss": 5.0363, + "mean_token_accuracy": 0.2050163671374321, + "num_tokens": 10229624.0, + "step": 4555 + }, + { + "entropy": 5.5351176261901855, + "epoch": 4.930232558139535, + "grad_norm": 0.97265625, + "learning_rate": 0.000322758605081217, + "loss": 5.0029, + "mean_token_accuracy": 0.2171091064810753, + "num_tokens": 10240338.0, + "step": 4560 + }, + { + "entropy": 5.489692735671997, + "epoch": 4.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.00032233937337854167, + "loss": 5.0781, + "mean_token_accuracy": 0.21066401302814483, + "num_tokens": 10250721.0, + "step": 4565 + }, + { + "entropy": 5.483132600784302, + "epoch": 4.9410492157923205, + "grad_norm": 0.85546875, + "learning_rate": 0.0003219199696444741, + "loss": 5.1115, + "mean_token_accuracy": 0.20521238595247268, + "num_tokens": 10262596.0, + "step": 4570 + }, + { + "entropy": 5.630878591537476, + "epoch": 4.9464575446187125, + "grad_norm": 0.9375, + "learning_rate": 0.00032150039540312843, + "loss": 5.2161, + "mean_token_accuracy": 0.20218149423599244, + "num_tokens": 10275043.0, + "step": 4575 + }, + { + "entropy": 5.597415924072266, + "epoch": 4.951865873445105, + "grad_norm": 0.86328125, + "learning_rate": 0.00032108065217923836, + "loss": 5.1768, + "mean_token_accuracy": 0.20507008731365203, + "num_tokens": 10286593.0, + "step": 4580 + }, + { + "entropy": 5.684569835662842, + "epoch": 4.957274202271498, + "grad_norm": 0.91796875, + "learning_rate": 0.00032066074149815184, + "loss": 5.1852, + "mean_token_accuracy": 0.20786730647087098, + "num_tokens": 10297459.0, + "step": 4585 + }, + { + "entropy": 5.420581722259522, + "epoch": 4.962682531097891, + "grad_norm": 0.8984375, + "learning_rate": 0.00032024066488582517, + "loss": 4.9087, + "mean_token_accuracy": 0.22307772785425187, + "num_tokens": 10308397.0, + "step": 4590 + }, + { + "entropy": 5.616361284255982, + "epoch": 4.968090859924283, + "grad_norm": 0.9921875, + "learning_rate": 0.0003198204238688178, + "loss": 5.1932, + "mean_token_accuracy": 0.20035981386899948, + "num_tokens": 10319648.0, + "step": 4595 + }, + { + "entropy": 5.652286148071289, + "epoch": 4.973499188750676, + "grad_norm": 0.94140625, + "learning_rate": 0.00031940001997428645, + "loss": 5.1707, + "mean_token_accuracy": 0.2010723575949669, + "num_tokens": 10330922.0, + "step": 4600 + }, + { + "entropy": 5.523626327514648, + "epoch": 4.978907517577069, + "grad_norm": 1.03125, + "learning_rate": 0.00031897945472997996, + "loss": 5.0548, + "mean_token_accuracy": 0.20578106194734574, + "num_tokens": 10341959.0, + "step": 4605 + }, + { + "entropy": 5.5449658870697025, + "epoch": 4.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0003185587296642333, + "loss": 5.1312, + "mean_token_accuracy": 0.21090947985649108, + "num_tokens": 10353125.0, + "step": 4610 + }, + { + "entropy": 5.567223691940308, + "epoch": 4.9897241752298545, + "grad_norm": 1.0546875, + "learning_rate": 0.0003181378463059625, + "loss": 5.155, + "mean_token_accuracy": 0.2045162320137024, + "num_tokens": 10364528.0, + "step": 4615 + }, + { + "entropy": 5.502493953704834, + "epoch": 4.995132504056246, + "grad_norm": 0.8984375, + "learning_rate": 0.0003177168061846584, + "loss": 5.013, + "mean_token_accuracy": 0.21816083341836928, + "num_tokens": 10375252.0, + "step": 4620 + }, + { + "entropy": 5.496442000071208, + "epoch": 5.0, + "grad_norm": 1.84375, + "learning_rate": 0.0003172956108303819, + "loss": 4.9872, + "mean_token_accuracy": 0.216766443517473, + "num_tokens": 10384445.0, + "step": 4625 + }, + { + "entropy": 5.528093242645264, + "epoch": 5.005408328826393, + "grad_norm": 0.88671875, + "learning_rate": 0.0003168742617737579, + "loss": 4.9556, + "mean_token_accuracy": 0.21919166445732116, + "num_tokens": 10396122.0, + "step": 4630 + }, + { + "entropy": 5.603008890151978, + "epoch": 5.010816657652786, + "grad_norm": 0.7890625, + "learning_rate": 0.00031645276054597006, + "loss": 4.9064, + "mean_token_accuracy": 0.2211405813694, + "num_tokens": 10409135.0, + "step": 4635 + }, + { + "entropy": 5.586550092697143, + "epoch": 5.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.00031603110867875435, + "loss": 4.8883, + "mean_token_accuracy": 0.22872422486543656, + "num_tokens": 10421068.0, + "step": 4640 + }, + { + "entropy": 5.501196575164795, + "epoch": 5.0216333153055706, + "grad_norm": 0.953125, + "learning_rate": 0.000315609307704395, + "loss": 4.8529, + "mean_token_accuracy": 0.2281401500105858, + "num_tokens": 10432117.0, + "step": 4645 + }, + { + "entropy": 5.535338020324707, + "epoch": 5.027041644131963, + "grad_norm": 0.8984375, + "learning_rate": 0.0003151873591557176, + "loss": 4.8912, + "mean_token_accuracy": 0.22080296128988267, + "num_tokens": 10443547.0, + "step": 4650 + }, + { + "entropy": 5.5264379501342775, + "epoch": 5.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.00031476526456608415, + "loss": 4.8489, + "mean_token_accuracy": 0.22700522541999818, + "num_tokens": 10455038.0, + "step": 4655 + }, + { + "entropy": 5.550225639343262, + "epoch": 5.037858301784748, + "grad_norm": 0.95703125, + "learning_rate": 0.0003143430254693873, + "loss": 4.9477, + "mean_token_accuracy": 0.21674466133117676, + "num_tokens": 10466682.0, + "step": 4660 + }, + { + "entropy": 5.5271460056304935, + "epoch": 5.043266630611141, + "grad_norm": 1.0078125, + "learning_rate": 0.0003139206434000451, + "loss": 4.9151, + "mean_token_accuracy": 0.22240815162658692, + "num_tokens": 10478575.0, + "step": 4665 + }, + { + "entropy": 5.569495391845703, + "epoch": 5.048674959437534, + "grad_norm": 0.94140625, + "learning_rate": 0.0003134981198929948, + "loss": 4.8959, + "mean_token_accuracy": 0.2266492411494255, + "num_tokens": 10490088.0, + "step": 4670 + }, + { + "entropy": 5.498064756393433, + "epoch": 5.054083288263927, + "grad_norm": 1.0546875, + "learning_rate": 0.00031307545648368777, + "loss": 4.7767, + "mean_token_accuracy": 0.2328466773033142, + "num_tokens": 10499877.0, + "step": 4675 + }, + { + "entropy": 5.46832504272461, + "epoch": 5.059491617090319, + "grad_norm": 0.9765625, + "learning_rate": 0.00031265265470808393, + "loss": 4.7688, + "mean_token_accuracy": 0.23446664959192276, + "num_tokens": 10509830.0, + "step": 4680 + }, + { + "entropy": 5.477397060394287, + "epoch": 5.064899945916712, + "grad_norm": 1.0078125, + "learning_rate": 0.00031222971610264595, + "loss": 4.8014, + "mean_token_accuracy": 0.22999125868082046, + "num_tokens": 10520072.0, + "step": 4685 + }, + { + "entropy": 5.526410722732544, + "epoch": 5.0703082747431045, + "grad_norm": 1.0, + "learning_rate": 0.00031180664220433347, + "loss": 4.9696, + "mean_token_accuracy": 0.22071902453899384, + "num_tokens": 10531260.0, + "step": 4690 + }, + { + "entropy": 5.477414608001709, + "epoch": 5.075716603569497, + "grad_norm": 1.0, + "learning_rate": 0.00031138343455059823, + "loss": 4.8571, + "mean_token_accuracy": 0.22696343213319778, + "num_tokens": 10542971.0, + "step": 4695 + }, + { + "entropy": 5.464529418945313, + "epoch": 5.081124932395889, + "grad_norm": 0.97265625, + "learning_rate": 0.0003109600946793778, + "loss": 4.8392, + "mean_token_accuracy": 0.2284951239824295, + "num_tokens": 10554101.0, + "step": 4700 + }, + { + "entropy": 5.605349922180176, + "epoch": 5.086533261222282, + "grad_norm": 0.94140625, + "learning_rate": 0.00031053662412909024, + "loss": 4.9924, + "mean_token_accuracy": 0.21688981205224991, + "num_tokens": 10565866.0, + "step": 4705 + }, + { + "entropy": 5.453184270858765, + "epoch": 5.091941590048675, + "grad_norm": 0.8671875, + "learning_rate": 0.0003101130244386283, + "loss": 4.8064, + "mean_token_accuracy": 0.23072075247764587, + "num_tokens": 10577276.0, + "step": 4710 + }, + { + "entropy": 5.594261884689331, + "epoch": 5.097349918875068, + "grad_norm": 0.9609375, + "learning_rate": 0.00030968929714735456, + "loss": 5.0054, + "mean_token_accuracy": 0.21874586939811708, + "num_tokens": 10588625.0, + "step": 4715 + }, + { + "entropy": 5.425375604629517, + "epoch": 5.10275824770146, + "grad_norm": 0.96875, + "learning_rate": 0.0003092654437950947, + "loss": 4.8637, + "mean_token_accuracy": 0.22720252275466918, + "num_tokens": 10599833.0, + "step": 4720 + }, + { + "entropy": 5.456516408920288, + "epoch": 5.108166576527853, + "grad_norm": 0.9921875, + "learning_rate": 0.0003088414659221331, + "loss": 4.8677, + "mean_token_accuracy": 0.21797628104686737, + "num_tokens": 10610156.0, + "step": 4725 + }, + { + "entropy": 5.480758142471314, + "epoch": 5.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.000308417365069206, + "loss": 4.8825, + "mean_token_accuracy": 0.22795740216970445, + "num_tokens": 10619839.0, + "step": 4730 + }, + { + "entropy": 5.499576425552368, + "epoch": 5.1189832341806385, + "grad_norm": 0.97265625, + "learning_rate": 0.00030799314277749697, + "loss": 4.8791, + "mean_token_accuracy": 0.22572332620620728, + "num_tokens": 10631671.0, + "step": 4735 + }, + { + "entropy": 5.485957908630371, + "epoch": 5.1243915630070305, + "grad_norm": 1.0, + "learning_rate": 0.00030756880058863085, + "loss": 4.8818, + "mean_token_accuracy": 0.22702433317899703, + "num_tokens": 10642597.0, + "step": 4740 + }, + { + "entropy": 5.547960376739502, + "epoch": 5.129799891833423, + "grad_norm": 1.015625, + "learning_rate": 0.00030714434004466823, + "loss": 4.9414, + "mean_token_accuracy": 0.21335140615701675, + "num_tokens": 10653323.0, + "step": 4745 + }, + { + "entropy": 5.5615216255187985, + "epoch": 5.135208220659816, + "grad_norm": 0.9609375, + "learning_rate": 0.00030671976268809947, + "loss": 4.9737, + "mean_token_accuracy": 0.21917204856872557, + "num_tokens": 10665572.0, + "step": 4750 + }, + { + "entropy": 5.450459241867065, + "epoch": 5.140616549486209, + "grad_norm": 1.09375, + "learning_rate": 0.00030629507006183995, + "loss": 4.8015, + "mean_token_accuracy": 0.22744957357645035, + "num_tokens": 10676686.0, + "step": 4755 + }, + { + "entropy": 5.458092498779297, + "epoch": 5.146024878312601, + "grad_norm": 1.1328125, + "learning_rate": 0.0003058702637092234, + "loss": 4.9562, + "mean_token_accuracy": 0.2186889737844467, + "num_tokens": 10687188.0, + "step": 4760 + }, + { + "entropy": 5.513929224014282, + "epoch": 5.151433207138994, + "grad_norm": 0.95703125, + "learning_rate": 0.00030544534517399724, + "loss": 4.8805, + "mean_token_accuracy": 0.22149462401866912, + "num_tokens": 10698343.0, + "step": 4765 + }, + { + "entropy": 5.509257984161377, + "epoch": 5.156841535965387, + "grad_norm": 0.94921875, + "learning_rate": 0.0003050203160003163, + "loss": 4.8566, + "mean_token_accuracy": 0.2240440934896469, + "num_tokens": 10710732.0, + "step": 4770 + }, + { + "entropy": 5.527531480789184, + "epoch": 5.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.0003045951777327377, + "loss": 4.9337, + "mean_token_accuracy": 0.2243843585252762, + "num_tokens": 10722397.0, + "step": 4775 + }, + { + "entropy": 5.396258449554443, + "epoch": 5.167658193618172, + "grad_norm": 0.96484375, + "learning_rate": 0.0003041699319162148, + "loss": 4.8263, + "mean_token_accuracy": 0.221099328994751, + "num_tokens": 10733714.0, + "step": 4780 + }, + { + "entropy": 5.487423133850098, + "epoch": 5.173066522444564, + "grad_norm": 0.921875, + "learning_rate": 0.00030374458009609193, + "loss": 4.9096, + "mean_token_accuracy": 0.22515179812908173, + "num_tokens": 10745748.0, + "step": 4785 + }, + { + "entropy": 5.6112525939941404, + "epoch": 5.178474851270957, + "grad_norm": 1.015625, + "learning_rate": 0.0003033191238180985, + "loss": 4.9403, + "mean_token_accuracy": 0.2272365614771843, + "num_tokens": 10756094.0, + "step": 4790 + }, + { + "entropy": 5.50868330001831, + "epoch": 5.18388318009735, + "grad_norm": 0.9921875, + "learning_rate": 0.0003028935646283438, + "loss": 4.994, + "mean_token_accuracy": 0.21618228554725646, + "num_tokens": 10768068.0, + "step": 4795 + }, + { + "entropy": 5.4779845714569095, + "epoch": 5.189291508923742, + "grad_norm": 1.03125, + "learning_rate": 0.00030246790407331063, + "loss": 4.8476, + "mean_token_accuracy": 0.2233078360557556, + "num_tokens": 10778917.0, + "step": 4800 + }, + { + "entropy": 5.495712518692017, + "epoch": 5.194699837750135, + "grad_norm": 0.99609375, + "learning_rate": 0.00030204214369985066, + "loss": 4.8669, + "mean_token_accuracy": 0.2277569890022278, + "num_tokens": 10790552.0, + "step": 4805 + }, + { + "entropy": 5.527979612350464, + "epoch": 5.200108166576528, + "grad_norm": 0.94140625, + "learning_rate": 0.00030161628505517797, + "loss": 4.9054, + "mean_token_accuracy": 0.21913376003503798, + "num_tokens": 10803199.0, + "step": 4810 + }, + { + "entropy": 5.44367413520813, + "epoch": 5.205516495402921, + "grad_norm": 0.984375, + "learning_rate": 0.00030119032968686397, + "loss": 4.8415, + "mean_token_accuracy": 0.22889240086078644, + "num_tokens": 10814339.0, + "step": 4815 + }, + { + "entropy": 5.460538148880005, + "epoch": 5.210924824229313, + "grad_norm": 0.9140625, + "learning_rate": 0.00030076427914283127, + "loss": 4.9144, + "mean_token_accuracy": 0.21594512164592744, + "num_tokens": 10825776.0, + "step": 4820 + }, + { + "entropy": 5.530256366729736, + "epoch": 5.2163331530557056, + "grad_norm": 0.99609375, + "learning_rate": 0.00030033813497134864, + "loss": 4.8544, + "mean_token_accuracy": 0.22742793411016465, + "num_tokens": 10837179.0, + "step": 4825 + }, + { + "entropy": 5.434867238998413, + "epoch": 5.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.000299911898721025, + "loss": 4.9009, + "mean_token_accuracy": 0.22611162364482879, + "num_tokens": 10847205.0, + "step": 4830 + }, + { + "entropy": 5.504870128631592, + "epoch": 5.227149810708491, + "grad_norm": 0.859375, + "learning_rate": 0.00029948557194080385, + "loss": 4.8953, + "mean_token_accuracy": 0.2238959863781929, + "num_tokens": 10859895.0, + "step": 4835 + }, + { + "entropy": 5.442061185836792, + "epoch": 5.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.0002990591561799576, + "loss": 4.9241, + "mean_token_accuracy": 0.21286537796258925, + "num_tokens": 10871286.0, + "step": 4840 + }, + { + "entropy": 5.443824434280396, + "epoch": 5.237966468361276, + "grad_norm": 1.03125, + "learning_rate": 0.0002986326529880823, + "loss": 4.756, + "mean_token_accuracy": 0.23349499106407165, + "num_tokens": 10883479.0, + "step": 4845 + }, + { + "entropy": 5.577119398117065, + "epoch": 5.243374797187669, + "grad_norm": 1.125, + "learning_rate": 0.0002982060639150913, + "loss": 4.9296, + "mean_token_accuracy": 0.22659704983234405, + "num_tokens": 10895432.0, + "step": 4850 + }, + { + "entropy": 5.486083078384399, + "epoch": 5.248783126014062, + "grad_norm": 0.953125, + "learning_rate": 0.0002977793905112106, + "loss": 4.9538, + "mean_token_accuracy": 0.22209923714399338, + "num_tokens": 10906891.0, + "step": 4855 + }, + { + "entropy": 5.444073104858399, + "epoch": 5.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00029735263432697183, + "loss": 4.9508, + "mean_token_accuracy": 0.21773838251829147, + "num_tokens": 10917706.0, + "step": 4860 + }, + { + "entropy": 5.456596851348877, + "epoch": 5.259599783666847, + "grad_norm": 0.9609375, + "learning_rate": 0.0002969257969132085, + "loss": 4.9405, + "mean_token_accuracy": 0.2228843316435814, + "num_tokens": 10929325.0, + "step": 4865 + }, + { + "entropy": 5.524547338485718, + "epoch": 5.2650081124932395, + "grad_norm": 1.109375, + "learning_rate": 0.0002964988798210485, + "loss": 4.9319, + "mean_token_accuracy": 0.2103923425078392, + "num_tokens": 10939899.0, + "step": 4870 + }, + { + "entropy": 5.495690202713012, + "epoch": 5.270416441319632, + "grad_norm": 0.9921875, + "learning_rate": 0.0002960718846019095, + "loss": 4.8823, + "mean_token_accuracy": 0.22650152891874314, + "num_tokens": 10949801.0, + "step": 4875 + }, + { + "entropy": 5.351631355285645, + "epoch": 5.275824770146025, + "grad_norm": 1.0078125, + "learning_rate": 0.0002956448128074931, + "loss": 4.7594, + "mean_token_accuracy": 0.2333318457007408, + "num_tokens": 10960191.0, + "step": 4880 + }, + { + "entropy": 5.565910768508911, + "epoch": 5.281233098972417, + "grad_norm": 0.88671875, + "learning_rate": 0.0002952176659897794, + "loss": 5.0229, + "mean_token_accuracy": 0.21818405240774155, + "num_tokens": 10972818.0, + "step": 4885 + }, + { + "entropy": 5.542775964736938, + "epoch": 5.28664142779881, + "grad_norm": 1.015625, + "learning_rate": 0.0002947904457010207, + "loss": 4.9287, + "mean_token_accuracy": 0.21841724514961242, + "num_tokens": 10984320.0, + "step": 4890 + }, + { + "entropy": 5.501249027252197, + "epoch": 5.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0002943631534937366, + "loss": 4.8801, + "mean_token_accuracy": 0.22640899568796158, + "num_tokens": 10995262.0, + "step": 4895 + }, + { + "entropy": 5.385098266601562, + "epoch": 5.297458085451596, + "grad_norm": 0.984375, + "learning_rate": 0.0002939357909207079, + "loss": 4.8709, + "mean_token_accuracy": 0.22468690872192382, + "num_tokens": 11005788.0, + "step": 4900 + }, + { + "entropy": 5.5195540428161625, + "epoch": 5.302866414277988, + "grad_norm": 1.0390625, + "learning_rate": 0.0002935083595349713, + "loss": 4.9028, + "mean_token_accuracy": 0.2290490075945854, + "num_tokens": 11016772.0, + "step": 4905 + }, + { + "entropy": 5.531022310256958, + "epoch": 5.308274743104381, + "grad_norm": 0.92578125, + "learning_rate": 0.00029308086088981335, + "loss": 4.962, + "mean_token_accuracy": 0.22039518356323243, + "num_tokens": 11028917.0, + "step": 4910 + }, + { + "entropy": 5.498329496383667, + "epoch": 5.3136830719307735, + "grad_norm": 1.0546875, + "learning_rate": 0.00029265329653876515, + "loss": 4.9503, + "mean_token_accuracy": 0.21752556413412094, + "num_tokens": 11040500.0, + "step": 4915 + }, + { + "entropy": 5.476529359817505, + "epoch": 5.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.0002922256680355965, + "loss": 4.8668, + "mean_token_accuracy": 0.2250487968325615, + "num_tokens": 11052173.0, + "step": 4920 + }, + { + "entropy": 5.542095422744751, + "epoch": 5.324499729583558, + "grad_norm": 1.109375, + "learning_rate": 0.00029179797693431046, + "loss": 4.8896, + "mean_token_accuracy": 0.22516080290079116, + "num_tokens": 11061917.0, + "step": 4925 + }, + { + "entropy": 5.450285196304321, + "epoch": 5.329908058409951, + "grad_norm": 1.0703125, + "learning_rate": 0.0002913702247891374, + "loss": 4.8752, + "mean_token_accuracy": 0.23229186683893205, + "num_tokens": 11072820.0, + "step": 4930 + }, + { + "entropy": 5.564850187301635, + "epoch": 5.335316387236344, + "grad_norm": 1.0625, + "learning_rate": 0.0002909424131545296, + "loss": 4.9642, + "mean_token_accuracy": 0.22445973008871078, + "num_tokens": 11083140.0, + "step": 4935 + }, + { + "entropy": 5.542190027236939, + "epoch": 5.340724716062737, + "grad_norm": 0.90234375, + "learning_rate": 0.00029051454358515553, + "loss": 4.9289, + "mean_token_accuracy": 0.22055180966854096, + "num_tokens": 11094314.0, + "step": 4940 + }, + { + "entropy": 5.50953254699707, + "epoch": 5.346133044889129, + "grad_norm": 0.92578125, + "learning_rate": 0.00029008661763589436, + "loss": 4.9733, + "mean_token_accuracy": 0.2225899413228035, + "num_tokens": 11106748.0, + "step": 4945 + }, + { + "entropy": 5.510439777374268, + "epoch": 5.351541373715522, + "grad_norm": 0.91796875, + "learning_rate": 0.0002896586368618297, + "loss": 4.9464, + "mean_token_accuracy": 0.22568726241588594, + "num_tokens": 11118702.0, + "step": 4950 + }, + { + "entropy": 5.525369310379029, + "epoch": 5.356949702541915, + "grad_norm": 0.96875, + "learning_rate": 0.00028923060281824483, + "loss": 4.9396, + "mean_token_accuracy": 0.21333917528390883, + "num_tokens": 11130782.0, + "step": 4955 + }, + { + "entropy": 5.4839788436889645, + "epoch": 5.3623580313683075, + "grad_norm": 1.015625, + "learning_rate": 0.0002888025170606165, + "loss": 4.9011, + "mean_token_accuracy": 0.22421319633722306, + "num_tokens": 11142536.0, + "step": 4960 + }, + { + "entropy": 5.483171844482422, + "epoch": 5.367766360194699, + "grad_norm": 1.0, + "learning_rate": 0.00028837438114460924, + "loss": 4.9031, + "mean_token_accuracy": 0.2182278573513031, + "num_tokens": 11154027.0, + "step": 4965 + }, + { + "entropy": 5.48946442604065, + "epoch": 5.373174689021092, + "grad_norm": 1.0625, + "learning_rate": 0.0002879461966260699, + "loss": 4.9259, + "mean_token_accuracy": 0.2160453200340271, + "num_tokens": 11164759.0, + "step": 4970 + }, + { + "entropy": 5.501074504852295, + "epoch": 5.378583017847485, + "grad_norm": 0.953125, + "learning_rate": 0.00028751796506102224, + "loss": 4.9456, + "mean_token_accuracy": 0.22141506671905517, + "num_tokens": 11176341.0, + "step": 4975 + }, + { + "entropy": 5.5393781661987305, + "epoch": 5.383991346673878, + "grad_norm": 0.95703125, + "learning_rate": 0.00028708968800566056, + "loss": 4.906, + "mean_token_accuracy": 0.22104442417621611, + "num_tokens": 11188958.0, + "step": 4980 + }, + { + "entropy": 5.5685571193695065, + "epoch": 5.38939967550027, + "grad_norm": 1.140625, + "learning_rate": 0.00028666136701634474, + "loss": 5.0001, + "mean_token_accuracy": 0.20960879027843476, + "num_tokens": 11200895.0, + "step": 4985 + }, + { + "entropy": 5.529350328445434, + "epoch": 5.394808004326663, + "grad_norm": 0.96875, + "learning_rate": 0.0002862330036495942, + "loss": 4.9108, + "mean_token_accuracy": 0.22896960824728013, + "num_tokens": 11211563.0, + "step": 4990 + }, + { + "entropy": 5.5777318477630615, + "epoch": 5.400216333153056, + "grad_norm": 0.9921875, + "learning_rate": 0.0002858045994620825, + "loss": 5.0099, + "mean_token_accuracy": 0.21429480612277985, + "num_tokens": 11223323.0, + "step": 4995 + }, + { + "entropy": 5.532574558258057, + "epoch": 5.405624661979449, + "grad_norm": 0.9375, + "learning_rate": 0.00028537615601063133, + "loss": 4.9088, + "mean_token_accuracy": 0.2173854023218155, + "num_tokens": 11235991.0, + "step": 5000 + }, + { + "epoch": 5.405624661979449, + "eval_entropy": 5.359868227351796, + "eval_loss": 5.847285270690918, + "eval_mean_token_accuracy": 0.18075780379162593, + "eval_num_tokens": 11235991.0, + "eval_runtime": 3.5358, + "eval_samples_per_second": 994.104, + "eval_steps_per_second": 124.44, + "step": 5000 + }, + { + "entropy": 5.455257225036621, + "epoch": 5.411032990805841, + "grad_norm": 0.9609375, + "learning_rate": 0.0002849476748522052, + "loss": 4.8879, + "mean_token_accuracy": 0.22323424369096756, + "num_tokens": 11247406.0, + "step": 5005 + }, + { + "entropy": 5.3663108348846436, + "epoch": 5.416441319632233, + "grad_norm": 0.89453125, + "learning_rate": 0.0002845191575439057, + "loss": 4.8489, + "mean_token_accuracy": 0.22015611827373505, + "num_tokens": 11259031.0, + "step": 5010 + }, + { + "entropy": 5.463020086288452, + "epoch": 5.421849648458626, + "grad_norm": 0.9609375, + "learning_rate": 0.0002840906056429658, + "loss": 4.9252, + "mean_token_accuracy": 0.2181644394993782, + "num_tokens": 11270321.0, + "step": 5015 + }, + { + "entropy": 5.51222939491272, + "epoch": 5.427257977285019, + "grad_norm": 1.0703125, + "learning_rate": 0.0002836620207067439, + "loss": 5.0229, + "mean_token_accuracy": 0.2076768919825554, + "num_tokens": 11282209.0, + "step": 5020 + }, + { + "entropy": 5.5796140193939205, + "epoch": 5.432666306111411, + "grad_norm": 1.1171875, + "learning_rate": 0.00028323340429271875, + "loss": 4.9472, + "mean_token_accuracy": 0.21594048887491227, + "num_tokens": 11292987.0, + "step": 5025 + }, + { + "entropy": 5.507422924041748, + "epoch": 5.438074634937804, + "grad_norm": 1.0390625, + "learning_rate": 0.0002828047579584833, + "loss": 4.9016, + "mean_token_accuracy": 0.22376736998558044, + "num_tokens": 11303197.0, + "step": 5030 + }, + { + "entropy": 5.413560152053833, + "epoch": 5.443482963764197, + "grad_norm": 0.98828125, + "learning_rate": 0.00028237608326173944, + "loss": 4.8308, + "mean_token_accuracy": 0.23067670911550522, + "num_tokens": 11315229.0, + "step": 5035 + }, + { + "entropy": 5.44630651473999, + "epoch": 5.44889129259059, + "grad_norm": 1.078125, + "learning_rate": 0.00028194738176029206, + "loss": 4.9124, + "mean_token_accuracy": 0.2220005840063095, + "num_tokens": 11326033.0, + "step": 5040 + }, + { + "entropy": 5.43988265991211, + "epoch": 5.4542996214169825, + "grad_norm": 1.0078125, + "learning_rate": 0.00028151865501204316, + "loss": 4.9213, + "mean_token_accuracy": 0.21385481357574462, + "num_tokens": 11335670.0, + "step": 5045 + }, + { + "entropy": 5.48417558670044, + "epoch": 5.4597079502433745, + "grad_norm": 0.91015625, + "learning_rate": 0.00028108990457498696, + "loss": 4.8722, + "mean_token_accuracy": 0.2302040845155716, + "num_tokens": 11346882.0, + "step": 5050 + }, + { + "entropy": 5.480646085739136, + "epoch": 5.465116279069767, + "grad_norm": 1.015625, + "learning_rate": 0.00028066113200720343, + "loss": 4.8288, + "mean_token_accuracy": 0.22758808583021164, + "num_tokens": 11358141.0, + "step": 5055 + }, + { + "entropy": 5.407720994949341, + "epoch": 5.47052460789616, + "grad_norm": 0.984375, + "learning_rate": 0.00028023233886685314, + "loss": 4.8753, + "mean_token_accuracy": 0.22024642527103425, + "num_tokens": 11368981.0, + "step": 5060 + }, + { + "entropy": 5.502127361297608, + "epoch": 5.475932936722553, + "grad_norm": 1.0234375, + "learning_rate": 0.0002798035267121713, + "loss": 5.0012, + "mean_token_accuracy": 0.21348655074834824, + "num_tokens": 11381613.0, + "step": 5065 + }, + { + "entropy": 5.569995927810669, + "epoch": 5.481341265548945, + "grad_norm": 1.046875, + "learning_rate": 0.0002793746971014623, + "loss": 4.9372, + "mean_token_accuracy": 0.22158569246530532, + "num_tokens": 11392321.0, + "step": 5070 + }, + { + "entropy": 5.4565346240997314, + "epoch": 5.486749594375338, + "grad_norm": 1.078125, + "learning_rate": 0.0002789458515930939, + "loss": 4.9292, + "mean_token_accuracy": 0.2208003059029579, + "num_tokens": 11403546.0, + "step": 5075 + }, + { + "entropy": 5.454629850387573, + "epoch": 5.492157923201731, + "grad_norm": 0.98046875, + "learning_rate": 0.00027851699174549164, + "loss": 4.8671, + "mean_token_accuracy": 0.22627684772014617, + "num_tokens": 11415167.0, + "step": 5080 + }, + { + "entropy": 5.518552207946778, + "epoch": 5.497566252028124, + "grad_norm": 1.0234375, + "learning_rate": 0.0002780881191171333, + "loss": 4.8769, + "mean_token_accuracy": 0.22364618480205536, + "num_tokens": 11426715.0, + "step": 5085 + }, + { + "entropy": 5.49597282409668, + "epoch": 5.502974580854516, + "grad_norm": 1.0078125, + "learning_rate": 0.00027765923526654304, + "loss": 4.8677, + "mean_token_accuracy": 0.22670321613550187, + "num_tokens": 11437760.0, + "step": 5090 + }, + { + "entropy": 5.492688322067261, + "epoch": 5.5083829096809085, + "grad_norm": 0.9765625, + "learning_rate": 0.00027723034175228554, + "loss": 4.9421, + "mean_token_accuracy": 0.22019703984260558, + "num_tokens": 11448329.0, + "step": 5095 + }, + { + "entropy": 5.431415700912476, + "epoch": 5.513791238507301, + "grad_norm": 1.046875, + "learning_rate": 0.000276801440132961, + "loss": 4.7698, + "mean_token_accuracy": 0.234079709649086, + "num_tokens": 11459173.0, + "step": 5100 + }, + { + "entropy": 5.4285736083984375, + "epoch": 5.519199567333694, + "grad_norm": 0.9921875, + "learning_rate": 0.0002763725319671989, + "loss": 4.8748, + "mean_token_accuracy": 0.22336506843566895, + "num_tokens": 11470232.0, + "step": 5105 + }, + { + "entropy": 5.375560235977173, + "epoch": 5.524607896160086, + "grad_norm": 1.0234375, + "learning_rate": 0.0002759436188136525, + "loss": 4.8556, + "mean_token_accuracy": 0.22446597516536712, + "num_tokens": 11481181.0, + "step": 5110 + }, + { + "entropy": 5.518925189971924, + "epoch": 5.530016224986479, + "grad_norm": 1.0, + "learning_rate": 0.00027551470223099306, + "loss": 4.9085, + "mean_token_accuracy": 0.2181531310081482, + "num_tokens": 11491772.0, + "step": 5115 + }, + { + "entropy": 5.5260766506195065, + "epoch": 5.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0002750857837779045, + "loss": 4.8638, + "mean_token_accuracy": 0.22381193935871124, + "num_tokens": 11503895.0, + "step": 5120 + }, + { + "entropy": 5.480987071990967, + "epoch": 5.540832882639265, + "grad_norm": 1.0390625, + "learning_rate": 0.0002746568650130775, + "loss": 4.889, + "mean_token_accuracy": 0.22760302275419236, + "num_tokens": 11514189.0, + "step": 5125 + }, + { + "entropy": 5.37455005645752, + "epoch": 5.546241211465657, + "grad_norm": 0.95703125, + "learning_rate": 0.0002742279474952039, + "loss": 4.9044, + "mean_token_accuracy": 0.22398550659418107, + "num_tokens": 11526142.0, + "step": 5130 + }, + { + "entropy": 5.507328224182129, + "epoch": 5.55164954029205, + "grad_norm": 1.0234375, + "learning_rate": 0.00027379903278297086, + "loss": 4.9312, + "mean_token_accuracy": 0.21721230298280716, + "num_tokens": 11537061.0, + "step": 5135 + }, + { + "entropy": 5.530687284469605, + "epoch": 5.5570578691184425, + "grad_norm": 1.0234375, + "learning_rate": 0.00027337012243505536, + "loss": 5.0297, + "mean_token_accuracy": 0.20581408888101577, + "num_tokens": 11547319.0, + "step": 5140 + }, + { + "entropy": 5.504242658615112, + "epoch": 5.562466197944835, + "grad_norm": 0.98828125, + "learning_rate": 0.00027294121801011887, + "loss": 4.9418, + "mean_token_accuracy": 0.22116187661886216, + "num_tokens": 11558766.0, + "step": 5145 + }, + { + "entropy": 5.4529502391815186, + "epoch": 5.567874526771227, + "grad_norm": 1.0, + "learning_rate": 0.00027251232106680084, + "loss": 4.8547, + "mean_token_accuracy": 0.2266584575176239, + "num_tokens": 11570039.0, + "step": 5150 + }, + { + "entropy": 5.399138593673706, + "epoch": 5.57328285559762, + "grad_norm": 1.0078125, + "learning_rate": 0.00027208343316371383, + "loss": 4.8922, + "mean_token_accuracy": 0.2278255820274353, + "num_tokens": 11581664.0, + "step": 5155 + }, + { + "entropy": 5.466609287261963, + "epoch": 5.578691184424013, + "grad_norm": 0.9296875, + "learning_rate": 0.0002716545558594373, + "loss": 4.9241, + "mean_token_accuracy": 0.2118991419672966, + "num_tokens": 11592689.0, + "step": 5160 + }, + { + "entropy": 5.508473634719849, + "epoch": 5.584099513250406, + "grad_norm": 0.99609375, + "learning_rate": 0.0002712256907125126, + "loss": 4.8443, + "mean_token_accuracy": 0.2241092950105667, + "num_tokens": 11604315.0, + "step": 5165 + }, + { + "entropy": 5.543499088287353, + "epoch": 5.589507842076799, + "grad_norm": 1.0703125, + "learning_rate": 0.0002707968392814366, + "loss": 4.9643, + "mean_token_accuracy": 0.22009238004684448, + "num_tokens": 11614510.0, + "step": 5170 + }, + { + "entropy": 5.469890308380127, + "epoch": 5.594916170903191, + "grad_norm": 0.97265625, + "learning_rate": 0.00027036800312465635, + "loss": 4.8773, + "mean_token_accuracy": 0.22867128401994705, + "num_tokens": 11625501.0, + "step": 5175 + }, + { + "entropy": 5.535786056518555, + "epoch": 5.600324499729584, + "grad_norm": 1.0546875, + "learning_rate": 0.0002699391838005634, + "loss": 4.9374, + "mean_token_accuracy": 0.22422817051410676, + "num_tokens": 11636841.0, + "step": 5180 + }, + { + "entropy": 5.418750333786011, + "epoch": 5.605732828555976, + "grad_norm": 1.0859375, + "learning_rate": 0.00026951038286748824, + "loss": 4.8465, + "mean_token_accuracy": 0.2297739565372467, + "num_tokens": 11647475.0, + "step": 5185 + }, + { + "entropy": 5.530784225463867, + "epoch": 5.611141157382368, + "grad_norm": 0.96875, + "learning_rate": 0.0002690816018836945, + "loss": 4.9507, + "mean_token_accuracy": 0.2173537626862526, + "num_tokens": 11658887.0, + "step": 5190 + }, + { + "entropy": 5.471008729934693, + "epoch": 5.616549486208761, + "grad_norm": 1.0, + "learning_rate": 0.0002686528424073731, + "loss": 5.0088, + "mean_token_accuracy": 0.21145847886800767, + "num_tokens": 11669658.0, + "step": 5195 + }, + { + "entropy": 5.535061264038086, + "epoch": 5.621957815035154, + "grad_norm": 0.953125, + "learning_rate": 0.00026822410599663704, + "loss": 4.9716, + "mean_token_accuracy": 0.21699988692998887, + "num_tokens": 11681792.0, + "step": 5200 + }, + { + "entropy": 5.509040117263794, + "epoch": 5.627366143861547, + "grad_norm": 1.078125, + "learning_rate": 0.00026779539420951554, + "loss": 4.9293, + "mean_token_accuracy": 0.21873082220554352, + "num_tokens": 11691903.0, + "step": 5205 + }, + { + "entropy": 5.532304048538208, + "epoch": 5.63277447268794, + "grad_norm": 1.0390625, + "learning_rate": 0.0002673667086039481, + "loss": 4.9355, + "mean_token_accuracy": 0.22825905084609985, + "num_tokens": 11703383.0, + "step": 5210 + }, + { + "entropy": 5.5031740188598635, + "epoch": 5.638182801514332, + "grad_norm": 1.03125, + "learning_rate": 0.0002669380507377792, + "loss": 4.9336, + "mean_token_accuracy": 0.22372952252626419, + "num_tokens": 11714721.0, + "step": 5215 + }, + { + "entropy": 5.449891853332519, + "epoch": 5.643591130340725, + "grad_norm": 1.0234375, + "learning_rate": 0.0002665094221687525, + "loss": 4.935, + "mean_token_accuracy": 0.21551574170589446, + "num_tokens": 11726016.0, + "step": 5220 + }, + { + "entropy": 5.413540506362915, + "epoch": 5.6489994591671175, + "grad_norm": 1.0234375, + "learning_rate": 0.0002660808244545054, + "loss": 4.7575, + "mean_token_accuracy": 0.23251993656158448, + "num_tokens": 11737589.0, + "step": 5225 + }, + { + "entropy": 5.4685218811035154, + "epoch": 5.6544077879935095, + "grad_norm": 0.91796875, + "learning_rate": 0.00026565225915256276, + "loss": 4.8658, + "mean_token_accuracy": 0.22948329597711564, + "num_tokens": 11747969.0, + "step": 5230 + }, + { + "entropy": 5.443226861953735, + "epoch": 5.659816116819902, + "grad_norm": 1.0625, + "learning_rate": 0.000265223727820332, + "loss": 4.836, + "mean_token_accuracy": 0.22504404336214065, + "num_tokens": 11759535.0, + "step": 5235 + }, + { + "entropy": 5.523590898513794, + "epoch": 5.665224445646295, + "grad_norm": 1.0390625, + "learning_rate": 0.0002647952320150969, + "loss": 4.9775, + "mean_token_accuracy": 0.21442292630672455, + "num_tokens": 11770863.0, + "step": 5240 + }, + { + "entropy": 5.485964727401734, + "epoch": 5.670632774472688, + "grad_norm": 1.015625, + "learning_rate": 0.0002643667732940122, + "loss": 4.9001, + "mean_token_accuracy": 0.216877081990242, + "num_tokens": 11782643.0, + "step": 5245 + }, + { + "entropy": 5.467176008224487, + "epoch": 5.676041103299081, + "grad_norm": 0.94921875, + "learning_rate": 0.00026393835321409796, + "loss": 4.933, + "mean_token_accuracy": 0.22458599954843522, + "num_tokens": 11794468.0, + "step": 5250 + }, + { + "entropy": 5.514464282989502, + "epoch": 5.681449432125473, + "grad_norm": 0.99609375, + "learning_rate": 0.00026350997333223375, + "loss": 4.8836, + "mean_token_accuracy": 0.23128425031900407, + "num_tokens": 11807051.0, + "step": 5255 + }, + { + "entropy": 5.432554149627686, + "epoch": 5.686857760951866, + "grad_norm": 1.046875, + "learning_rate": 0.00026308163520515293, + "loss": 4.9193, + "mean_token_accuracy": 0.21702346503734588, + "num_tokens": 11817067.0, + "step": 5260 + }, + { + "entropy": 5.428543901443481, + "epoch": 5.692266089778259, + "grad_norm": 0.9375, + "learning_rate": 0.00026265334038943735, + "loss": 4.919, + "mean_token_accuracy": 0.22408238500356675, + "num_tokens": 11828111.0, + "step": 5265 + }, + { + "entropy": 5.502649211883545, + "epoch": 5.6976744186046515, + "grad_norm": 0.98828125, + "learning_rate": 0.0002622250904415113, + "loss": 4.8822, + "mean_token_accuracy": 0.2273074984550476, + "num_tokens": 11838536.0, + "step": 5270 + }, + { + "entropy": 5.53525743484497, + "epoch": 5.7030827474310435, + "grad_norm": 1.0234375, + "learning_rate": 0.0002617968869176362, + "loss": 4.9228, + "mean_token_accuracy": 0.22227408438920976, + "num_tokens": 11848899.0, + "step": 5275 + }, + { + "entropy": 5.473860883712769, + "epoch": 5.708491076257436, + "grad_norm": 0.98046875, + "learning_rate": 0.0002613687313739044, + "loss": 4.9651, + "mean_token_accuracy": 0.22359169721603395, + "num_tokens": 11861023.0, + "step": 5280 + }, + { + "entropy": 5.43254508972168, + "epoch": 5.713899405083829, + "grad_norm": 1.015625, + "learning_rate": 0.0002609406253662344, + "loss": 4.9318, + "mean_token_accuracy": 0.21903841942548752, + "num_tokens": 11871953.0, + "step": 5285 + }, + { + "entropy": 5.501645612716675, + "epoch": 5.719307733910222, + "grad_norm": 1.1171875, + "learning_rate": 0.0002605125704503643, + "loss": 4.9505, + "mean_token_accuracy": 0.2237919017672539, + "num_tokens": 11882874.0, + "step": 5290 + }, + { + "entropy": 5.58112268447876, + "epoch": 5.724716062736614, + "grad_norm": 0.95703125, + "learning_rate": 0.0002600845681818467, + "loss": 4.8646, + "mean_token_accuracy": 0.22650408893823623, + "num_tokens": 11893431.0, + "step": 5295 + }, + { + "entropy": 5.454003143310547, + "epoch": 5.730124391563007, + "grad_norm": 0.9296875, + "learning_rate": 0.0002596566201160427, + "loss": 4.8851, + "mean_token_accuracy": 0.22219976037740707, + "num_tokens": 11905311.0, + "step": 5300 + }, + { + "entropy": 5.404032039642334, + "epoch": 5.7355327203894, + "grad_norm": 1.0078125, + "learning_rate": 0.00025922872780811664, + "loss": 4.9546, + "mean_token_accuracy": 0.21621623486280442, + "num_tokens": 11916342.0, + "step": 5305 + }, + { + "entropy": 5.492973470687867, + "epoch": 5.740941049215793, + "grad_norm": 1.046875, + "learning_rate": 0.00025880089281303027, + "loss": 4.9193, + "mean_token_accuracy": 0.21626884043216704, + "num_tokens": 11927485.0, + "step": 5310 + }, + { + "entropy": 5.476612329483032, + "epoch": 5.746349378042185, + "grad_norm": 1.015625, + "learning_rate": 0.00025837311668553683, + "loss": 4.8302, + "mean_token_accuracy": 0.2276885449886322, + "num_tokens": 11937968.0, + "step": 5315 + }, + { + "entropy": 5.44808611869812, + "epoch": 5.7517577068685775, + "grad_norm": 1.09375, + "learning_rate": 0.0002579454009801757, + "loss": 4.7927, + "mean_token_accuracy": 0.23528771847486496, + "num_tokens": 11947510.0, + "step": 5320 + }, + { + "entropy": 5.477059698104858, + "epoch": 5.75716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.0002575177472512669, + "loss": 4.9526, + "mean_token_accuracy": 0.2218560740351677, + "num_tokens": 11960002.0, + "step": 5325 + }, + { + "entropy": 5.444899559020996, + "epoch": 5.762574364521363, + "grad_norm": 0.9921875, + "learning_rate": 0.000257090157052905, + "loss": 4.8705, + "mean_token_accuracy": 0.21838984936475753, + "num_tokens": 11970895.0, + "step": 5330 + }, + { + "entropy": 5.459397077560425, + "epoch": 5.767982693347756, + "grad_norm": 1.015625, + "learning_rate": 0.00025666263193895375, + "loss": 4.888, + "mean_token_accuracy": 0.21968889981508255, + "num_tokens": 11982910.0, + "step": 5335 + }, + { + "entropy": 5.511087703704834, + "epoch": 5.773391022174148, + "grad_norm": 1.0546875, + "learning_rate": 0.00025623517346304027, + "loss": 4.9507, + "mean_token_accuracy": 0.21630610823631286, + "num_tokens": 11994066.0, + "step": 5340 + }, + { + "entropy": 5.47811861038208, + "epoch": 5.778799351000541, + "grad_norm": 0.96484375, + "learning_rate": 0.00025580778317855, + "loss": 4.8659, + "mean_token_accuracy": 0.22627412974834443, + "num_tokens": 12004821.0, + "step": 5345 + }, + { + "entropy": 5.475780200958252, + "epoch": 5.784207679826934, + "grad_norm": 1.0859375, + "learning_rate": 0.0002553804626386199, + "loss": 4.9451, + "mean_token_accuracy": 0.2223440647125244, + "num_tokens": 12014973.0, + "step": 5350 + }, + { + "entropy": 5.551906108856201, + "epoch": 5.789616008653326, + "grad_norm": 0.9453125, + "learning_rate": 0.0002549532133961339, + "loss": 5.0273, + "mean_token_accuracy": 0.2145695760846138, + "num_tokens": 12026528.0, + "step": 5355 + }, + { + "entropy": 5.607546472549439, + "epoch": 5.795024337479719, + "grad_norm": 1.0625, + "learning_rate": 0.00025452603700371675, + "loss": 5.0506, + "mean_token_accuracy": 0.21419217735528945, + "num_tokens": 12038733.0, + "step": 5360 + }, + { + "entropy": 5.5201372623443605, + "epoch": 5.800432666306111, + "grad_norm": 1.015625, + "learning_rate": 0.0002540989350137285, + "loss": 4.9722, + "mean_token_accuracy": 0.21627445071935653, + "num_tokens": 12049821.0, + "step": 5365 + }, + { + "entropy": 5.565732765197754, + "epoch": 5.805840995132504, + "grad_norm": 0.99609375, + "learning_rate": 0.00025367190897825873, + "loss": 4.9698, + "mean_token_accuracy": 0.21938712447881697, + "num_tokens": 12060982.0, + "step": 5370 + }, + { + "entropy": 5.489997673034668, + "epoch": 5.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 0.0002532449604491209, + "loss": 4.8542, + "mean_token_accuracy": 0.2305293619632721, + "num_tokens": 12070842.0, + "step": 5375 + }, + { + "entropy": 5.4013769149780275, + "epoch": 5.816657652785289, + "grad_norm": 1.0859375, + "learning_rate": 0.0002528180909778471, + "loss": 4.8389, + "mean_token_accuracy": 0.2326238349080086, + "num_tokens": 12080992.0, + "step": 5380 + }, + { + "entropy": 5.480729961395264, + "epoch": 5.822065981611682, + "grad_norm": 1.046875, + "learning_rate": 0.00025239130211568206, + "loss": 4.9151, + "mean_token_accuracy": 0.22242391854524612, + "num_tokens": 12091905.0, + "step": 5385 + }, + { + "entropy": 5.520739364624023, + "epoch": 5.827474310438075, + "grad_norm": 0.98828125, + "learning_rate": 0.00025196459541357725, + "loss": 4.817, + "mean_token_accuracy": 0.22727247029542924, + "num_tokens": 12101577.0, + "step": 5390 + }, + { + "entropy": 5.555675268173218, + "epoch": 5.832882639264467, + "grad_norm": 1.078125, + "learning_rate": 0.00025153797242218604, + "loss": 5.017, + "mean_token_accuracy": 0.21263125836849212, + "num_tokens": 12112593.0, + "step": 5395 + }, + { + "entropy": 5.465591239929199, + "epoch": 5.83829096809086, + "grad_norm": 1.0625, + "learning_rate": 0.00025111143469185715, + "loss": 4.8337, + "mean_token_accuracy": 0.22807640731334686, + "num_tokens": 12122947.0, + "step": 5400 + }, + { + "entropy": 5.38767294883728, + "epoch": 5.8436992969172525, + "grad_norm": 1.03125, + "learning_rate": 0.0002506849837726299, + "loss": 4.7973, + "mean_token_accuracy": 0.23990508764982224, + "num_tokens": 12133557.0, + "step": 5405 + }, + { + "entropy": 5.5033042430877686, + "epoch": 5.849107625743645, + "grad_norm": 0.9921875, + "learning_rate": 0.0002502586212142278, + "loss": 4.9525, + "mean_token_accuracy": 0.21751385182142258, + "num_tokens": 12144735.0, + "step": 5410 + }, + { + "entropy": 5.468432903289795, + "epoch": 5.854515954570038, + "grad_norm": 1.03125, + "learning_rate": 0.00024983234856605337, + "loss": 4.9072, + "mean_token_accuracy": 0.22422076314687728, + "num_tokens": 12155786.0, + "step": 5415 + }, + { + "entropy": 5.499530363082886, + "epoch": 5.85992428339643, + "grad_norm": 0.84375, + "learning_rate": 0.00024940616737718235, + "loss": 5.0033, + "mean_token_accuracy": 0.21500488370656967, + "num_tokens": 12168846.0, + "step": 5420 + }, + { + "entropy": 5.475531673431396, + "epoch": 5.865332612222823, + "grad_norm": 0.98828125, + "learning_rate": 0.0002489800791963583, + "loss": 4.8433, + "mean_token_accuracy": 0.21648556888103485, + "num_tokens": 12179743.0, + "step": 5425 + }, + { + "entropy": 5.5550652027130125, + "epoch": 5.870740941049216, + "grad_norm": 1.0546875, + "learning_rate": 0.00024855408557198657, + "loss": 4.9396, + "mean_token_accuracy": 0.2263997510075569, + "num_tokens": 12190754.0, + "step": 5430 + }, + { + "entropy": 5.522177076339721, + "epoch": 5.876149269875609, + "grad_norm": 1.0234375, + "learning_rate": 0.000248128188052129, + "loss": 4.926, + "mean_token_accuracy": 0.2201258659362793, + "num_tokens": 12201293.0, + "step": 5435 + }, + { + "entropy": 5.500701284408569, + "epoch": 5.881557598702001, + "grad_norm": 0.87890625, + "learning_rate": 0.00024770238818449804, + "loss": 4.9843, + "mean_token_accuracy": 0.22035838961601256, + "num_tokens": 12214361.0, + "step": 5440 + }, + { + "entropy": 5.56159987449646, + "epoch": 5.886965927528394, + "grad_norm": 1.0546875, + "learning_rate": 0.00024727668751645164, + "loss": 5.0753, + "mean_token_accuracy": 0.20683244466781617, + "num_tokens": 12226766.0, + "step": 5445 + }, + { + "entropy": 5.542806959152221, + "epoch": 5.8923742563547865, + "grad_norm": 1.1640625, + "learning_rate": 0.0002468510875949868, + "loss": 4.9784, + "mean_token_accuracy": 0.22004477828741073, + "num_tokens": 12237339.0, + "step": 5450 + }, + { + "entropy": 5.454771566390991, + "epoch": 5.897782585181179, + "grad_norm": 0.95703125, + "learning_rate": 0.00024642558996673474, + "loss": 4.8806, + "mean_token_accuracy": 0.233289235830307, + "num_tokens": 12248567.0, + "step": 5455 + }, + { + "entropy": 5.475730228424072, + "epoch": 5.903190914007571, + "grad_norm": 1.0546875, + "learning_rate": 0.00024600019617795465, + "loss": 4.8715, + "mean_token_accuracy": 0.22850371301174163, + "num_tokens": 12258968.0, + "step": 5460 + }, + { + "entropy": 5.529723405838013, + "epoch": 5.908599242833964, + "grad_norm": 0.94140625, + "learning_rate": 0.0002455749077745288, + "loss": 4.9315, + "mean_token_accuracy": 0.22943497598171234, + "num_tokens": 12271233.0, + "step": 5465 + }, + { + "entropy": 5.481137132644653, + "epoch": 5.914007571660357, + "grad_norm": 1.03125, + "learning_rate": 0.00024514972630195603, + "loss": 4.894, + "mean_token_accuracy": 0.21706456691026688, + "num_tokens": 12280634.0, + "step": 5470 + }, + { + "entropy": 5.46374282836914, + "epoch": 5.91941590048675, + "grad_norm": 0.9765625, + "learning_rate": 0.0002447246533053469, + "loss": 4.9344, + "mean_token_accuracy": 0.2250108987092972, + "num_tokens": 12292282.0, + "step": 5475 + }, + { + "entropy": 5.479931974411011, + "epoch": 5.924824229313142, + "grad_norm": 1.0703125, + "learning_rate": 0.00024429969032941756, + "loss": 4.9556, + "mean_token_accuracy": 0.2212103560566902, + "num_tokens": 12303940.0, + "step": 5480 + }, + { + "entropy": 5.509561538696289, + "epoch": 5.930232558139535, + "grad_norm": 1.1171875, + "learning_rate": 0.00024387483891848456, + "loss": 4.9408, + "mean_token_accuracy": 0.2256838709115982, + "num_tokens": 12315400.0, + "step": 5485 + }, + { + "entropy": 5.5094701766967775, + "epoch": 5.935640886965928, + "grad_norm": 0.91796875, + "learning_rate": 0.00024345010061645889, + "loss": 4.9519, + "mean_token_accuracy": 0.21615981161594391, + "num_tokens": 12327462.0, + "step": 5490 + }, + { + "entropy": 5.516644716262817, + "epoch": 5.9410492157923205, + "grad_norm": 0.9296875, + "learning_rate": 0.00024302547696684047, + "loss": 4.9017, + "mean_token_accuracy": 0.22320225536823274, + "num_tokens": 12338966.0, + "step": 5495 + }, + { + "entropy": 5.397993087768555, + "epoch": 5.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00024260096951271253, + "loss": 4.8006, + "mean_token_accuracy": 0.228230282664299, + "num_tokens": 12349663.0, + "step": 5500 + }, + { + "epoch": 5.9464575446187125, + "eval_entropy": 5.341046702861786, + "eval_loss": 5.824895858764648, + "eval_mean_token_accuracy": 0.18257011164995757, + "eval_num_tokens": 12349663.0, + "eval_runtime": 3.5324, + "eval_samples_per_second": 995.086, + "eval_steps_per_second": 124.563, + "step": 5500 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 2860881276764160.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-5500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-6000/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..eea0d57 --- /dev/null +++ b/checkpoint-6000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cab2fa31065f182448513ef9d028dc32850d61a09e8e244904eaa5d085c8f527 +size 78179408 diff --git a/checkpoint-6000/rng_state.pth b/checkpoint-6000/rng_state.pth new file mode 100644 index 0000000..eccba75 --- /dev/null +++ b/checkpoint-6000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2d05d32efaf49859542027e754f4f41b327e7b58ea996750b1ed654e557884fd +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-6000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-6000/trainer_state.json b/checkpoint-6000/trainer_state.json new file mode 100644 index 0000000..937ff3c --- /dev/null +++ b/checkpoint-6000/trainer_state.json @@ -0,0 +1,12166 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 6.486749594375338, + "eval_steps": 500, + "global_step": 6000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + }, + { + "entropy": 5.5260412216186525, + "epoch": 4.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0003273583644789772, + "loss": 5.0416, + "mean_token_accuracy": 0.2119097203016281, + "num_tokens": 10116420.0, + "step": 4505 + }, + { + "entropy": 5.480229425430298, + "epoch": 4.876149269875609, + "grad_norm": 0.984375, + "learning_rate": 0.00032694112553039795, + "loss": 5.0407, + "mean_token_accuracy": 0.20997347682714462, + "num_tokens": 10127289.0, + "step": 4510 + }, + { + "entropy": 5.582333183288574, + "epoch": 4.881557598702001, + "grad_norm": 0.89453125, + "learning_rate": 0.0003265236978276484, + "loss": 5.1776, + "mean_token_accuracy": 0.2014921173453331, + "num_tokens": 10139216.0, + "step": 4515 + }, + { + "entropy": 5.586625242233277, + "epoch": 4.886965927528394, + "grad_norm": 0.9609375, + "learning_rate": 0.00032610608288766185, + "loss": 5.0455, + "mean_token_accuracy": 0.22018371075391768, + "num_tokens": 10150010.0, + "step": 4520 + }, + { + "entropy": 5.507440090179443, + "epoch": 4.8923742563547865, + "grad_norm": 0.93359375, + "learning_rate": 0.00032568828222805216, + "loss": 5.0416, + "mean_token_accuracy": 0.21397803723812103, + "num_tokens": 10161317.0, + "step": 4525 + }, + { + "entropy": 5.520569133758545, + "epoch": 4.897782585181179, + "grad_norm": 1.0390625, + "learning_rate": 0.0003252702973671075, + "loss": 5.0784, + "mean_token_accuracy": 0.22154383063316346, + "num_tokens": 10172681.0, + "step": 4530 + }, + { + "entropy": 5.564612579345703, + "epoch": 4.903190914007571, + "grad_norm": 0.9375, + "learning_rate": 0.00032485212982378615, + "loss": 5.0628, + "mean_token_accuracy": 0.21105246245861053, + "num_tokens": 10184755.0, + "step": 4535 + }, + { + "entropy": 5.513889312744141, + "epoch": 4.908599242833964, + "grad_norm": 1.015625, + "learning_rate": 0.0003244337811177098, + "loss": 5.0479, + "mean_token_accuracy": 0.21932805627584456, + "num_tokens": 10195252.0, + "step": 4540 + }, + { + "entropy": 5.543384790420532, + "epoch": 4.914007571660357, + "grad_norm": 0.97265625, + "learning_rate": 0.0003240152527691586, + "loss": 5.152, + "mean_token_accuracy": 0.1962687239050865, + "num_tokens": 10207660.0, + "step": 4545 + }, + { + "entropy": 5.5311463356018065, + "epoch": 4.91941590048675, + "grad_norm": 0.94140625, + "learning_rate": 0.00032359654629906555, + "loss": 5.0906, + "mean_token_accuracy": 0.21332904547452927, + "num_tokens": 10218154.0, + "step": 4550 + }, + { + "entropy": 5.496583652496338, + "epoch": 4.924824229313142, + "grad_norm": 0.92578125, + "learning_rate": 0.00032317766322901106, + "loss": 5.0363, + "mean_token_accuracy": 0.2050163671374321, + "num_tokens": 10229624.0, + "step": 4555 + }, + { + "entropy": 5.5351176261901855, + "epoch": 4.930232558139535, + "grad_norm": 0.97265625, + "learning_rate": 0.000322758605081217, + "loss": 5.0029, + "mean_token_accuracy": 0.2171091064810753, + "num_tokens": 10240338.0, + "step": 4560 + }, + { + "entropy": 5.489692735671997, + "epoch": 4.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.00032233937337854167, + "loss": 5.0781, + "mean_token_accuracy": 0.21066401302814483, + "num_tokens": 10250721.0, + "step": 4565 + }, + { + "entropy": 5.483132600784302, + "epoch": 4.9410492157923205, + "grad_norm": 0.85546875, + "learning_rate": 0.0003219199696444741, + "loss": 5.1115, + "mean_token_accuracy": 0.20521238595247268, + "num_tokens": 10262596.0, + "step": 4570 + }, + { + "entropy": 5.630878591537476, + "epoch": 4.9464575446187125, + "grad_norm": 0.9375, + "learning_rate": 0.00032150039540312843, + "loss": 5.2161, + "mean_token_accuracy": 0.20218149423599244, + "num_tokens": 10275043.0, + "step": 4575 + }, + { + "entropy": 5.597415924072266, + "epoch": 4.951865873445105, + "grad_norm": 0.86328125, + "learning_rate": 0.00032108065217923836, + "loss": 5.1768, + "mean_token_accuracy": 0.20507008731365203, + "num_tokens": 10286593.0, + "step": 4580 + }, + { + "entropy": 5.684569835662842, + "epoch": 4.957274202271498, + "grad_norm": 0.91796875, + "learning_rate": 0.00032066074149815184, + "loss": 5.1852, + "mean_token_accuracy": 0.20786730647087098, + "num_tokens": 10297459.0, + "step": 4585 + }, + { + "entropy": 5.420581722259522, + "epoch": 4.962682531097891, + "grad_norm": 0.8984375, + "learning_rate": 0.00032024066488582517, + "loss": 4.9087, + "mean_token_accuracy": 0.22307772785425187, + "num_tokens": 10308397.0, + "step": 4590 + }, + { + "entropy": 5.616361284255982, + "epoch": 4.968090859924283, + "grad_norm": 0.9921875, + "learning_rate": 0.0003198204238688178, + "loss": 5.1932, + "mean_token_accuracy": 0.20035981386899948, + "num_tokens": 10319648.0, + "step": 4595 + }, + { + "entropy": 5.652286148071289, + "epoch": 4.973499188750676, + "grad_norm": 0.94140625, + "learning_rate": 0.00031940001997428645, + "loss": 5.1707, + "mean_token_accuracy": 0.2010723575949669, + "num_tokens": 10330922.0, + "step": 4600 + }, + { + "entropy": 5.523626327514648, + "epoch": 4.978907517577069, + "grad_norm": 1.03125, + "learning_rate": 0.00031897945472997996, + "loss": 5.0548, + "mean_token_accuracy": 0.20578106194734574, + "num_tokens": 10341959.0, + "step": 4605 + }, + { + "entropy": 5.5449658870697025, + "epoch": 4.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0003185587296642333, + "loss": 5.1312, + "mean_token_accuracy": 0.21090947985649108, + "num_tokens": 10353125.0, + "step": 4610 + }, + { + "entropy": 5.567223691940308, + "epoch": 4.9897241752298545, + "grad_norm": 1.0546875, + "learning_rate": 0.0003181378463059625, + "loss": 5.155, + "mean_token_accuracy": 0.2045162320137024, + "num_tokens": 10364528.0, + "step": 4615 + }, + { + "entropy": 5.502493953704834, + "epoch": 4.995132504056246, + "grad_norm": 0.8984375, + "learning_rate": 0.0003177168061846584, + "loss": 5.013, + "mean_token_accuracy": 0.21816083341836928, + "num_tokens": 10375252.0, + "step": 4620 + }, + { + "entropy": 5.496442000071208, + "epoch": 5.0, + "grad_norm": 1.84375, + "learning_rate": 0.0003172956108303819, + "loss": 4.9872, + "mean_token_accuracy": 0.216766443517473, + "num_tokens": 10384445.0, + "step": 4625 + }, + { + "entropy": 5.528093242645264, + "epoch": 5.005408328826393, + "grad_norm": 0.88671875, + "learning_rate": 0.0003168742617737579, + "loss": 4.9556, + "mean_token_accuracy": 0.21919166445732116, + "num_tokens": 10396122.0, + "step": 4630 + }, + { + "entropy": 5.603008890151978, + "epoch": 5.010816657652786, + "grad_norm": 0.7890625, + "learning_rate": 0.00031645276054597006, + "loss": 4.9064, + "mean_token_accuracy": 0.2211405813694, + "num_tokens": 10409135.0, + "step": 4635 + }, + { + "entropy": 5.586550092697143, + "epoch": 5.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.00031603110867875435, + "loss": 4.8883, + "mean_token_accuracy": 0.22872422486543656, + "num_tokens": 10421068.0, + "step": 4640 + }, + { + "entropy": 5.501196575164795, + "epoch": 5.0216333153055706, + "grad_norm": 0.953125, + "learning_rate": 0.000315609307704395, + "loss": 4.8529, + "mean_token_accuracy": 0.2281401500105858, + "num_tokens": 10432117.0, + "step": 4645 + }, + { + "entropy": 5.535338020324707, + "epoch": 5.027041644131963, + "grad_norm": 0.8984375, + "learning_rate": 0.0003151873591557176, + "loss": 4.8912, + "mean_token_accuracy": 0.22080296128988267, + "num_tokens": 10443547.0, + "step": 4650 + }, + { + "entropy": 5.5264379501342775, + "epoch": 5.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.00031476526456608415, + "loss": 4.8489, + "mean_token_accuracy": 0.22700522541999818, + "num_tokens": 10455038.0, + "step": 4655 + }, + { + "entropy": 5.550225639343262, + "epoch": 5.037858301784748, + "grad_norm": 0.95703125, + "learning_rate": 0.0003143430254693873, + "loss": 4.9477, + "mean_token_accuracy": 0.21674466133117676, + "num_tokens": 10466682.0, + "step": 4660 + }, + { + "entropy": 5.5271460056304935, + "epoch": 5.043266630611141, + "grad_norm": 1.0078125, + "learning_rate": 0.0003139206434000451, + "loss": 4.9151, + "mean_token_accuracy": 0.22240815162658692, + "num_tokens": 10478575.0, + "step": 4665 + }, + { + "entropy": 5.569495391845703, + "epoch": 5.048674959437534, + "grad_norm": 0.94140625, + "learning_rate": 0.0003134981198929948, + "loss": 4.8959, + "mean_token_accuracy": 0.2266492411494255, + "num_tokens": 10490088.0, + "step": 4670 + }, + { + "entropy": 5.498064756393433, + "epoch": 5.054083288263927, + "grad_norm": 1.0546875, + "learning_rate": 0.00031307545648368777, + "loss": 4.7767, + "mean_token_accuracy": 0.2328466773033142, + "num_tokens": 10499877.0, + "step": 4675 + }, + { + "entropy": 5.46832504272461, + "epoch": 5.059491617090319, + "grad_norm": 0.9765625, + "learning_rate": 0.00031265265470808393, + "loss": 4.7688, + "mean_token_accuracy": 0.23446664959192276, + "num_tokens": 10509830.0, + "step": 4680 + }, + { + "entropy": 5.477397060394287, + "epoch": 5.064899945916712, + "grad_norm": 1.0078125, + "learning_rate": 0.00031222971610264595, + "loss": 4.8014, + "mean_token_accuracy": 0.22999125868082046, + "num_tokens": 10520072.0, + "step": 4685 + }, + { + "entropy": 5.526410722732544, + "epoch": 5.0703082747431045, + "grad_norm": 1.0, + "learning_rate": 0.00031180664220433347, + "loss": 4.9696, + "mean_token_accuracy": 0.22071902453899384, + "num_tokens": 10531260.0, + "step": 4690 + }, + { + "entropy": 5.477414608001709, + "epoch": 5.075716603569497, + "grad_norm": 1.0, + "learning_rate": 0.00031138343455059823, + "loss": 4.8571, + "mean_token_accuracy": 0.22696343213319778, + "num_tokens": 10542971.0, + "step": 4695 + }, + { + "entropy": 5.464529418945313, + "epoch": 5.081124932395889, + "grad_norm": 0.97265625, + "learning_rate": 0.0003109600946793778, + "loss": 4.8392, + "mean_token_accuracy": 0.2284951239824295, + "num_tokens": 10554101.0, + "step": 4700 + }, + { + "entropy": 5.605349922180176, + "epoch": 5.086533261222282, + "grad_norm": 0.94140625, + "learning_rate": 0.00031053662412909024, + "loss": 4.9924, + "mean_token_accuracy": 0.21688981205224991, + "num_tokens": 10565866.0, + "step": 4705 + }, + { + "entropy": 5.453184270858765, + "epoch": 5.091941590048675, + "grad_norm": 0.8671875, + "learning_rate": 0.0003101130244386283, + "loss": 4.8064, + "mean_token_accuracy": 0.23072075247764587, + "num_tokens": 10577276.0, + "step": 4710 + }, + { + "entropy": 5.594261884689331, + "epoch": 5.097349918875068, + "grad_norm": 0.9609375, + "learning_rate": 0.00030968929714735456, + "loss": 5.0054, + "mean_token_accuracy": 0.21874586939811708, + "num_tokens": 10588625.0, + "step": 4715 + }, + { + "entropy": 5.425375604629517, + "epoch": 5.10275824770146, + "grad_norm": 0.96875, + "learning_rate": 0.0003092654437950947, + "loss": 4.8637, + "mean_token_accuracy": 0.22720252275466918, + "num_tokens": 10599833.0, + "step": 4720 + }, + { + "entropy": 5.456516408920288, + "epoch": 5.108166576527853, + "grad_norm": 0.9921875, + "learning_rate": 0.0003088414659221331, + "loss": 4.8677, + "mean_token_accuracy": 0.21797628104686737, + "num_tokens": 10610156.0, + "step": 4725 + }, + { + "entropy": 5.480758142471314, + "epoch": 5.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.000308417365069206, + "loss": 4.8825, + "mean_token_accuracy": 0.22795740216970445, + "num_tokens": 10619839.0, + "step": 4730 + }, + { + "entropy": 5.499576425552368, + "epoch": 5.1189832341806385, + "grad_norm": 0.97265625, + "learning_rate": 0.00030799314277749697, + "loss": 4.8791, + "mean_token_accuracy": 0.22572332620620728, + "num_tokens": 10631671.0, + "step": 4735 + }, + { + "entropy": 5.485957908630371, + "epoch": 5.1243915630070305, + "grad_norm": 1.0, + "learning_rate": 0.00030756880058863085, + "loss": 4.8818, + "mean_token_accuracy": 0.22702433317899703, + "num_tokens": 10642597.0, + "step": 4740 + }, + { + "entropy": 5.547960376739502, + "epoch": 5.129799891833423, + "grad_norm": 1.015625, + "learning_rate": 0.00030714434004466823, + "loss": 4.9414, + "mean_token_accuracy": 0.21335140615701675, + "num_tokens": 10653323.0, + "step": 4745 + }, + { + "entropy": 5.5615216255187985, + "epoch": 5.135208220659816, + "grad_norm": 0.9609375, + "learning_rate": 0.00030671976268809947, + "loss": 4.9737, + "mean_token_accuracy": 0.21917204856872557, + "num_tokens": 10665572.0, + "step": 4750 + }, + { + "entropy": 5.450459241867065, + "epoch": 5.140616549486209, + "grad_norm": 1.09375, + "learning_rate": 0.00030629507006183995, + "loss": 4.8015, + "mean_token_accuracy": 0.22744957357645035, + "num_tokens": 10676686.0, + "step": 4755 + }, + { + "entropy": 5.458092498779297, + "epoch": 5.146024878312601, + "grad_norm": 1.1328125, + "learning_rate": 0.0003058702637092234, + "loss": 4.9562, + "mean_token_accuracy": 0.2186889737844467, + "num_tokens": 10687188.0, + "step": 4760 + }, + { + "entropy": 5.513929224014282, + "epoch": 5.151433207138994, + "grad_norm": 0.95703125, + "learning_rate": 0.00030544534517399724, + "loss": 4.8805, + "mean_token_accuracy": 0.22149462401866912, + "num_tokens": 10698343.0, + "step": 4765 + }, + { + "entropy": 5.509257984161377, + "epoch": 5.156841535965387, + "grad_norm": 0.94921875, + "learning_rate": 0.0003050203160003163, + "loss": 4.8566, + "mean_token_accuracy": 0.2240440934896469, + "num_tokens": 10710732.0, + "step": 4770 + }, + { + "entropy": 5.527531480789184, + "epoch": 5.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.0003045951777327377, + "loss": 4.9337, + "mean_token_accuracy": 0.2243843585252762, + "num_tokens": 10722397.0, + "step": 4775 + }, + { + "entropy": 5.396258449554443, + "epoch": 5.167658193618172, + "grad_norm": 0.96484375, + "learning_rate": 0.0003041699319162148, + "loss": 4.8263, + "mean_token_accuracy": 0.221099328994751, + "num_tokens": 10733714.0, + "step": 4780 + }, + { + "entropy": 5.487423133850098, + "epoch": 5.173066522444564, + "grad_norm": 0.921875, + "learning_rate": 0.00030374458009609193, + "loss": 4.9096, + "mean_token_accuracy": 0.22515179812908173, + "num_tokens": 10745748.0, + "step": 4785 + }, + { + "entropy": 5.6112525939941404, + "epoch": 5.178474851270957, + "grad_norm": 1.015625, + "learning_rate": 0.0003033191238180985, + "loss": 4.9403, + "mean_token_accuracy": 0.2272365614771843, + "num_tokens": 10756094.0, + "step": 4790 + }, + { + "entropy": 5.50868330001831, + "epoch": 5.18388318009735, + "grad_norm": 0.9921875, + "learning_rate": 0.0003028935646283438, + "loss": 4.994, + "mean_token_accuracy": 0.21618228554725646, + "num_tokens": 10768068.0, + "step": 4795 + }, + { + "entropy": 5.4779845714569095, + "epoch": 5.189291508923742, + "grad_norm": 1.03125, + "learning_rate": 0.00030246790407331063, + "loss": 4.8476, + "mean_token_accuracy": 0.2233078360557556, + "num_tokens": 10778917.0, + "step": 4800 + }, + { + "entropy": 5.495712518692017, + "epoch": 5.194699837750135, + "grad_norm": 0.99609375, + "learning_rate": 0.00030204214369985066, + "loss": 4.8669, + "mean_token_accuracy": 0.2277569890022278, + "num_tokens": 10790552.0, + "step": 4805 + }, + { + "entropy": 5.527979612350464, + "epoch": 5.200108166576528, + "grad_norm": 0.94140625, + "learning_rate": 0.00030161628505517797, + "loss": 4.9054, + "mean_token_accuracy": 0.21913376003503798, + "num_tokens": 10803199.0, + "step": 4810 + }, + { + "entropy": 5.44367413520813, + "epoch": 5.205516495402921, + "grad_norm": 0.984375, + "learning_rate": 0.00030119032968686397, + "loss": 4.8415, + "mean_token_accuracy": 0.22889240086078644, + "num_tokens": 10814339.0, + "step": 4815 + }, + { + "entropy": 5.460538148880005, + "epoch": 5.210924824229313, + "grad_norm": 0.9140625, + "learning_rate": 0.00030076427914283127, + "loss": 4.9144, + "mean_token_accuracy": 0.21594512164592744, + "num_tokens": 10825776.0, + "step": 4820 + }, + { + "entropy": 5.530256366729736, + "epoch": 5.2163331530557056, + "grad_norm": 0.99609375, + "learning_rate": 0.00030033813497134864, + "loss": 4.8544, + "mean_token_accuracy": 0.22742793411016465, + "num_tokens": 10837179.0, + "step": 4825 + }, + { + "entropy": 5.434867238998413, + "epoch": 5.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.000299911898721025, + "loss": 4.9009, + "mean_token_accuracy": 0.22611162364482879, + "num_tokens": 10847205.0, + "step": 4830 + }, + { + "entropy": 5.504870128631592, + "epoch": 5.227149810708491, + "grad_norm": 0.859375, + "learning_rate": 0.00029948557194080385, + "loss": 4.8953, + "mean_token_accuracy": 0.2238959863781929, + "num_tokens": 10859895.0, + "step": 4835 + }, + { + "entropy": 5.442061185836792, + "epoch": 5.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.0002990591561799576, + "loss": 4.9241, + "mean_token_accuracy": 0.21286537796258925, + "num_tokens": 10871286.0, + "step": 4840 + }, + { + "entropy": 5.443824434280396, + "epoch": 5.237966468361276, + "grad_norm": 1.03125, + "learning_rate": 0.0002986326529880823, + "loss": 4.756, + "mean_token_accuracy": 0.23349499106407165, + "num_tokens": 10883479.0, + "step": 4845 + }, + { + "entropy": 5.577119398117065, + "epoch": 5.243374797187669, + "grad_norm": 1.125, + "learning_rate": 0.0002982060639150913, + "loss": 4.9296, + "mean_token_accuracy": 0.22659704983234405, + "num_tokens": 10895432.0, + "step": 4850 + }, + { + "entropy": 5.486083078384399, + "epoch": 5.248783126014062, + "grad_norm": 0.953125, + "learning_rate": 0.0002977793905112106, + "loss": 4.9538, + "mean_token_accuracy": 0.22209923714399338, + "num_tokens": 10906891.0, + "step": 4855 + }, + { + "entropy": 5.444073104858399, + "epoch": 5.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00029735263432697183, + "loss": 4.9508, + "mean_token_accuracy": 0.21773838251829147, + "num_tokens": 10917706.0, + "step": 4860 + }, + { + "entropy": 5.456596851348877, + "epoch": 5.259599783666847, + "grad_norm": 0.9609375, + "learning_rate": 0.0002969257969132085, + "loss": 4.9405, + "mean_token_accuracy": 0.2228843316435814, + "num_tokens": 10929325.0, + "step": 4865 + }, + { + "entropy": 5.524547338485718, + "epoch": 5.2650081124932395, + "grad_norm": 1.109375, + "learning_rate": 0.0002964988798210485, + "loss": 4.9319, + "mean_token_accuracy": 0.2103923425078392, + "num_tokens": 10939899.0, + "step": 4870 + }, + { + "entropy": 5.495690202713012, + "epoch": 5.270416441319632, + "grad_norm": 0.9921875, + "learning_rate": 0.0002960718846019095, + "loss": 4.8823, + "mean_token_accuracy": 0.22650152891874314, + "num_tokens": 10949801.0, + "step": 4875 + }, + { + "entropy": 5.351631355285645, + "epoch": 5.275824770146025, + "grad_norm": 1.0078125, + "learning_rate": 0.0002956448128074931, + "loss": 4.7594, + "mean_token_accuracy": 0.2333318457007408, + "num_tokens": 10960191.0, + "step": 4880 + }, + { + "entropy": 5.565910768508911, + "epoch": 5.281233098972417, + "grad_norm": 0.88671875, + "learning_rate": 0.0002952176659897794, + "loss": 5.0229, + "mean_token_accuracy": 0.21818405240774155, + "num_tokens": 10972818.0, + "step": 4885 + }, + { + "entropy": 5.542775964736938, + "epoch": 5.28664142779881, + "grad_norm": 1.015625, + "learning_rate": 0.0002947904457010207, + "loss": 4.9287, + "mean_token_accuracy": 0.21841724514961242, + "num_tokens": 10984320.0, + "step": 4890 + }, + { + "entropy": 5.501249027252197, + "epoch": 5.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0002943631534937366, + "loss": 4.8801, + "mean_token_accuracy": 0.22640899568796158, + "num_tokens": 10995262.0, + "step": 4895 + }, + { + "entropy": 5.385098266601562, + "epoch": 5.297458085451596, + "grad_norm": 0.984375, + "learning_rate": 0.0002939357909207079, + "loss": 4.8709, + "mean_token_accuracy": 0.22468690872192382, + "num_tokens": 11005788.0, + "step": 4900 + }, + { + "entropy": 5.5195540428161625, + "epoch": 5.302866414277988, + "grad_norm": 1.0390625, + "learning_rate": 0.0002935083595349713, + "loss": 4.9028, + "mean_token_accuracy": 0.2290490075945854, + "num_tokens": 11016772.0, + "step": 4905 + }, + { + "entropy": 5.531022310256958, + "epoch": 5.308274743104381, + "grad_norm": 0.92578125, + "learning_rate": 0.00029308086088981335, + "loss": 4.962, + "mean_token_accuracy": 0.22039518356323243, + "num_tokens": 11028917.0, + "step": 4910 + }, + { + "entropy": 5.498329496383667, + "epoch": 5.3136830719307735, + "grad_norm": 1.0546875, + "learning_rate": 0.00029265329653876515, + "loss": 4.9503, + "mean_token_accuracy": 0.21752556413412094, + "num_tokens": 11040500.0, + "step": 4915 + }, + { + "entropy": 5.476529359817505, + "epoch": 5.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.0002922256680355965, + "loss": 4.8668, + "mean_token_accuracy": 0.2250487968325615, + "num_tokens": 11052173.0, + "step": 4920 + }, + { + "entropy": 5.542095422744751, + "epoch": 5.324499729583558, + "grad_norm": 1.109375, + "learning_rate": 0.00029179797693431046, + "loss": 4.8896, + "mean_token_accuracy": 0.22516080290079116, + "num_tokens": 11061917.0, + "step": 4925 + }, + { + "entropy": 5.450285196304321, + "epoch": 5.329908058409951, + "grad_norm": 1.0703125, + "learning_rate": 0.0002913702247891374, + "loss": 4.8752, + "mean_token_accuracy": 0.23229186683893205, + "num_tokens": 11072820.0, + "step": 4930 + }, + { + "entropy": 5.564850187301635, + "epoch": 5.335316387236344, + "grad_norm": 1.0625, + "learning_rate": 0.0002909424131545296, + "loss": 4.9642, + "mean_token_accuracy": 0.22445973008871078, + "num_tokens": 11083140.0, + "step": 4935 + }, + { + "entropy": 5.542190027236939, + "epoch": 5.340724716062737, + "grad_norm": 0.90234375, + "learning_rate": 0.00029051454358515553, + "loss": 4.9289, + "mean_token_accuracy": 0.22055180966854096, + "num_tokens": 11094314.0, + "step": 4940 + }, + { + "entropy": 5.50953254699707, + "epoch": 5.346133044889129, + "grad_norm": 0.92578125, + "learning_rate": 0.00029008661763589436, + "loss": 4.9733, + "mean_token_accuracy": 0.2225899413228035, + "num_tokens": 11106748.0, + "step": 4945 + }, + { + "entropy": 5.510439777374268, + "epoch": 5.351541373715522, + "grad_norm": 0.91796875, + "learning_rate": 0.0002896586368618297, + "loss": 4.9464, + "mean_token_accuracy": 0.22568726241588594, + "num_tokens": 11118702.0, + "step": 4950 + }, + { + "entropy": 5.525369310379029, + "epoch": 5.356949702541915, + "grad_norm": 0.96875, + "learning_rate": 0.00028923060281824483, + "loss": 4.9396, + "mean_token_accuracy": 0.21333917528390883, + "num_tokens": 11130782.0, + "step": 4955 + }, + { + "entropy": 5.4839788436889645, + "epoch": 5.3623580313683075, + "grad_norm": 1.015625, + "learning_rate": 0.0002888025170606165, + "loss": 4.9011, + "mean_token_accuracy": 0.22421319633722306, + "num_tokens": 11142536.0, + "step": 4960 + }, + { + "entropy": 5.483171844482422, + "epoch": 5.367766360194699, + "grad_norm": 1.0, + "learning_rate": 0.00028837438114460924, + "loss": 4.9031, + "mean_token_accuracy": 0.2182278573513031, + "num_tokens": 11154027.0, + "step": 4965 + }, + { + "entropy": 5.48946442604065, + "epoch": 5.373174689021092, + "grad_norm": 1.0625, + "learning_rate": 0.0002879461966260699, + "loss": 4.9259, + "mean_token_accuracy": 0.2160453200340271, + "num_tokens": 11164759.0, + "step": 4970 + }, + { + "entropy": 5.501074504852295, + "epoch": 5.378583017847485, + "grad_norm": 0.953125, + "learning_rate": 0.00028751796506102224, + "loss": 4.9456, + "mean_token_accuracy": 0.22141506671905517, + "num_tokens": 11176341.0, + "step": 4975 + }, + { + "entropy": 5.5393781661987305, + "epoch": 5.383991346673878, + "grad_norm": 0.95703125, + "learning_rate": 0.00028708968800566056, + "loss": 4.906, + "mean_token_accuracy": 0.22104442417621611, + "num_tokens": 11188958.0, + "step": 4980 + }, + { + "entropy": 5.5685571193695065, + "epoch": 5.38939967550027, + "grad_norm": 1.140625, + "learning_rate": 0.00028666136701634474, + "loss": 5.0001, + "mean_token_accuracy": 0.20960879027843476, + "num_tokens": 11200895.0, + "step": 4985 + }, + { + "entropy": 5.529350328445434, + "epoch": 5.394808004326663, + "grad_norm": 0.96875, + "learning_rate": 0.0002862330036495942, + "loss": 4.9108, + "mean_token_accuracy": 0.22896960824728013, + "num_tokens": 11211563.0, + "step": 4990 + }, + { + "entropy": 5.5777318477630615, + "epoch": 5.400216333153056, + "grad_norm": 0.9921875, + "learning_rate": 0.0002858045994620825, + "loss": 5.0099, + "mean_token_accuracy": 0.21429480612277985, + "num_tokens": 11223323.0, + "step": 4995 + }, + { + "entropy": 5.532574558258057, + "epoch": 5.405624661979449, + "grad_norm": 0.9375, + "learning_rate": 0.00028537615601063133, + "loss": 4.9088, + "mean_token_accuracy": 0.2173854023218155, + "num_tokens": 11235991.0, + "step": 5000 + }, + { + "epoch": 5.405624661979449, + "eval_entropy": 5.359868227351796, + "eval_loss": 5.847285270690918, + "eval_mean_token_accuracy": 0.18075780379162593, + "eval_num_tokens": 11235991.0, + "eval_runtime": 3.5358, + "eval_samples_per_second": 994.104, + "eval_steps_per_second": 124.44, + "step": 5000 + }, + { + "entropy": 5.455257225036621, + "epoch": 5.411032990805841, + "grad_norm": 0.9609375, + "learning_rate": 0.0002849476748522052, + "loss": 4.8879, + "mean_token_accuracy": 0.22323424369096756, + "num_tokens": 11247406.0, + "step": 5005 + }, + { + "entropy": 5.3663108348846436, + "epoch": 5.416441319632233, + "grad_norm": 0.89453125, + "learning_rate": 0.0002845191575439057, + "loss": 4.8489, + "mean_token_accuracy": 0.22015611827373505, + "num_tokens": 11259031.0, + "step": 5010 + }, + { + "entropy": 5.463020086288452, + "epoch": 5.421849648458626, + "grad_norm": 0.9609375, + "learning_rate": 0.0002840906056429658, + "loss": 4.9252, + "mean_token_accuracy": 0.2181644394993782, + "num_tokens": 11270321.0, + "step": 5015 + }, + { + "entropy": 5.51222939491272, + "epoch": 5.427257977285019, + "grad_norm": 1.0703125, + "learning_rate": 0.0002836620207067439, + "loss": 5.0229, + "mean_token_accuracy": 0.2076768919825554, + "num_tokens": 11282209.0, + "step": 5020 + }, + { + "entropy": 5.5796140193939205, + "epoch": 5.432666306111411, + "grad_norm": 1.1171875, + "learning_rate": 0.00028323340429271875, + "loss": 4.9472, + "mean_token_accuracy": 0.21594048887491227, + "num_tokens": 11292987.0, + "step": 5025 + }, + { + "entropy": 5.507422924041748, + "epoch": 5.438074634937804, + "grad_norm": 1.0390625, + "learning_rate": 0.0002828047579584833, + "loss": 4.9016, + "mean_token_accuracy": 0.22376736998558044, + "num_tokens": 11303197.0, + "step": 5030 + }, + { + "entropy": 5.413560152053833, + "epoch": 5.443482963764197, + "grad_norm": 0.98828125, + "learning_rate": 0.00028237608326173944, + "loss": 4.8308, + "mean_token_accuracy": 0.23067670911550522, + "num_tokens": 11315229.0, + "step": 5035 + }, + { + "entropy": 5.44630651473999, + "epoch": 5.44889129259059, + "grad_norm": 1.078125, + "learning_rate": 0.00028194738176029206, + "loss": 4.9124, + "mean_token_accuracy": 0.2220005840063095, + "num_tokens": 11326033.0, + "step": 5040 + }, + { + "entropy": 5.43988265991211, + "epoch": 5.4542996214169825, + "grad_norm": 1.0078125, + "learning_rate": 0.00028151865501204316, + "loss": 4.9213, + "mean_token_accuracy": 0.21385481357574462, + "num_tokens": 11335670.0, + "step": 5045 + }, + { + "entropy": 5.48417558670044, + "epoch": 5.4597079502433745, + "grad_norm": 0.91015625, + "learning_rate": 0.00028108990457498696, + "loss": 4.8722, + "mean_token_accuracy": 0.2302040845155716, + "num_tokens": 11346882.0, + "step": 5050 + }, + { + "entropy": 5.480646085739136, + "epoch": 5.465116279069767, + "grad_norm": 1.015625, + "learning_rate": 0.00028066113200720343, + "loss": 4.8288, + "mean_token_accuracy": 0.22758808583021164, + "num_tokens": 11358141.0, + "step": 5055 + }, + { + "entropy": 5.407720994949341, + "epoch": 5.47052460789616, + "grad_norm": 0.984375, + "learning_rate": 0.00028023233886685314, + "loss": 4.8753, + "mean_token_accuracy": 0.22024642527103425, + "num_tokens": 11368981.0, + "step": 5060 + }, + { + "entropy": 5.502127361297608, + "epoch": 5.475932936722553, + "grad_norm": 1.0234375, + "learning_rate": 0.0002798035267121713, + "loss": 5.0012, + "mean_token_accuracy": 0.21348655074834824, + "num_tokens": 11381613.0, + "step": 5065 + }, + { + "entropy": 5.569995927810669, + "epoch": 5.481341265548945, + "grad_norm": 1.046875, + "learning_rate": 0.0002793746971014623, + "loss": 4.9372, + "mean_token_accuracy": 0.22158569246530532, + "num_tokens": 11392321.0, + "step": 5070 + }, + { + "entropy": 5.4565346240997314, + "epoch": 5.486749594375338, + "grad_norm": 1.078125, + "learning_rate": 0.0002789458515930939, + "loss": 4.9292, + "mean_token_accuracy": 0.2208003059029579, + "num_tokens": 11403546.0, + "step": 5075 + }, + { + "entropy": 5.454629850387573, + "epoch": 5.492157923201731, + "grad_norm": 0.98046875, + "learning_rate": 0.00027851699174549164, + "loss": 4.8671, + "mean_token_accuracy": 0.22627684772014617, + "num_tokens": 11415167.0, + "step": 5080 + }, + { + "entropy": 5.518552207946778, + "epoch": 5.497566252028124, + "grad_norm": 1.0234375, + "learning_rate": 0.0002780881191171333, + "loss": 4.8769, + "mean_token_accuracy": 0.22364618480205536, + "num_tokens": 11426715.0, + "step": 5085 + }, + { + "entropy": 5.49597282409668, + "epoch": 5.502974580854516, + "grad_norm": 1.0078125, + "learning_rate": 0.00027765923526654304, + "loss": 4.8677, + "mean_token_accuracy": 0.22670321613550187, + "num_tokens": 11437760.0, + "step": 5090 + }, + { + "entropy": 5.492688322067261, + "epoch": 5.5083829096809085, + "grad_norm": 0.9765625, + "learning_rate": 0.00027723034175228554, + "loss": 4.9421, + "mean_token_accuracy": 0.22019703984260558, + "num_tokens": 11448329.0, + "step": 5095 + }, + { + "entropy": 5.431415700912476, + "epoch": 5.513791238507301, + "grad_norm": 1.046875, + "learning_rate": 0.000276801440132961, + "loss": 4.7698, + "mean_token_accuracy": 0.234079709649086, + "num_tokens": 11459173.0, + "step": 5100 + }, + { + "entropy": 5.4285736083984375, + "epoch": 5.519199567333694, + "grad_norm": 0.9921875, + "learning_rate": 0.0002763725319671989, + "loss": 4.8748, + "mean_token_accuracy": 0.22336506843566895, + "num_tokens": 11470232.0, + "step": 5105 + }, + { + "entropy": 5.375560235977173, + "epoch": 5.524607896160086, + "grad_norm": 1.0234375, + "learning_rate": 0.0002759436188136525, + "loss": 4.8556, + "mean_token_accuracy": 0.22446597516536712, + "num_tokens": 11481181.0, + "step": 5110 + }, + { + "entropy": 5.518925189971924, + "epoch": 5.530016224986479, + "grad_norm": 1.0, + "learning_rate": 0.00027551470223099306, + "loss": 4.9085, + "mean_token_accuracy": 0.2181531310081482, + "num_tokens": 11491772.0, + "step": 5115 + }, + { + "entropy": 5.5260766506195065, + "epoch": 5.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0002750857837779045, + "loss": 4.8638, + "mean_token_accuracy": 0.22381193935871124, + "num_tokens": 11503895.0, + "step": 5120 + }, + { + "entropy": 5.480987071990967, + "epoch": 5.540832882639265, + "grad_norm": 1.0390625, + "learning_rate": 0.0002746568650130775, + "loss": 4.889, + "mean_token_accuracy": 0.22760302275419236, + "num_tokens": 11514189.0, + "step": 5125 + }, + { + "entropy": 5.37455005645752, + "epoch": 5.546241211465657, + "grad_norm": 0.95703125, + "learning_rate": 0.0002742279474952039, + "loss": 4.9044, + "mean_token_accuracy": 0.22398550659418107, + "num_tokens": 11526142.0, + "step": 5130 + }, + { + "entropy": 5.507328224182129, + "epoch": 5.55164954029205, + "grad_norm": 1.0234375, + "learning_rate": 0.00027379903278297086, + "loss": 4.9312, + "mean_token_accuracy": 0.21721230298280716, + "num_tokens": 11537061.0, + "step": 5135 + }, + { + "entropy": 5.530687284469605, + "epoch": 5.5570578691184425, + "grad_norm": 1.0234375, + "learning_rate": 0.00027337012243505536, + "loss": 5.0297, + "mean_token_accuracy": 0.20581408888101577, + "num_tokens": 11547319.0, + "step": 5140 + }, + { + "entropy": 5.504242658615112, + "epoch": 5.562466197944835, + "grad_norm": 0.98828125, + "learning_rate": 0.00027294121801011887, + "loss": 4.9418, + "mean_token_accuracy": 0.22116187661886216, + "num_tokens": 11558766.0, + "step": 5145 + }, + { + "entropy": 5.4529502391815186, + "epoch": 5.567874526771227, + "grad_norm": 1.0, + "learning_rate": 0.00027251232106680084, + "loss": 4.8547, + "mean_token_accuracy": 0.2266584575176239, + "num_tokens": 11570039.0, + "step": 5150 + }, + { + "entropy": 5.399138593673706, + "epoch": 5.57328285559762, + "grad_norm": 1.0078125, + "learning_rate": 0.00027208343316371383, + "loss": 4.8922, + "mean_token_accuracy": 0.2278255820274353, + "num_tokens": 11581664.0, + "step": 5155 + }, + { + "entropy": 5.466609287261963, + "epoch": 5.578691184424013, + "grad_norm": 0.9296875, + "learning_rate": 0.0002716545558594373, + "loss": 4.9241, + "mean_token_accuracy": 0.2118991419672966, + "num_tokens": 11592689.0, + "step": 5160 + }, + { + "entropy": 5.508473634719849, + "epoch": 5.584099513250406, + "grad_norm": 0.99609375, + "learning_rate": 0.0002712256907125126, + "loss": 4.8443, + "mean_token_accuracy": 0.2241092950105667, + "num_tokens": 11604315.0, + "step": 5165 + }, + { + "entropy": 5.543499088287353, + "epoch": 5.589507842076799, + "grad_norm": 1.0703125, + "learning_rate": 0.0002707968392814366, + "loss": 4.9643, + "mean_token_accuracy": 0.22009238004684448, + "num_tokens": 11614510.0, + "step": 5170 + }, + { + "entropy": 5.469890308380127, + "epoch": 5.594916170903191, + "grad_norm": 0.97265625, + "learning_rate": 0.00027036800312465635, + "loss": 4.8773, + "mean_token_accuracy": 0.22867128401994705, + "num_tokens": 11625501.0, + "step": 5175 + }, + { + "entropy": 5.535786056518555, + "epoch": 5.600324499729584, + "grad_norm": 1.0546875, + "learning_rate": 0.0002699391838005634, + "loss": 4.9374, + "mean_token_accuracy": 0.22422817051410676, + "num_tokens": 11636841.0, + "step": 5180 + }, + { + "entropy": 5.418750333786011, + "epoch": 5.605732828555976, + "grad_norm": 1.0859375, + "learning_rate": 0.00026951038286748824, + "loss": 4.8465, + "mean_token_accuracy": 0.2297739565372467, + "num_tokens": 11647475.0, + "step": 5185 + }, + { + "entropy": 5.530784225463867, + "epoch": 5.611141157382368, + "grad_norm": 0.96875, + "learning_rate": 0.0002690816018836945, + "loss": 4.9507, + "mean_token_accuracy": 0.2173537626862526, + "num_tokens": 11658887.0, + "step": 5190 + }, + { + "entropy": 5.471008729934693, + "epoch": 5.616549486208761, + "grad_norm": 1.0, + "learning_rate": 0.0002686528424073731, + "loss": 5.0088, + "mean_token_accuracy": 0.21145847886800767, + "num_tokens": 11669658.0, + "step": 5195 + }, + { + "entropy": 5.535061264038086, + "epoch": 5.621957815035154, + "grad_norm": 0.953125, + "learning_rate": 0.00026822410599663704, + "loss": 4.9716, + "mean_token_accuracy": 0.21699988692998887, + "num_tokens": 11681792.0, + "step": 5200 + }, + { + "entropy": 5.509040117263794, + "epoch": 5.627366143861547, + "grad_norm": 1.078125, + "learning_rate": 0.00026779539420951554, + "loss": 4.9293, + "mean_token_accuracy": 0.21873082220554352, + "num_tokens": 11691903.0, + "step": 5205 + }, + { + "entropy": 5.532304048538208, + "epoch": 5.63277447268794, + "grad_norm": 1.0390625, + "learning_rate": 0.0002673667086039481, + "loss": 4.9355, + "mean_token_accuracy": 0.22825905084609985, + "num_tokens": 11703383.0, + "step": 5210 + }, + { + "entropy": 5.5031740188598635, + "epoch": 5.638182801514332, + "grad_norm": 1.03125, + "learning_rate": 0.0002669380507377792, + "loss": 4.9336, + "mean_token_accuracy": 0.22372952252626419, + "num_tokens": 11714721.0, + "step": 5215 + }, + { + "entropy": 5.449891853332519, + "epoch": 5.643591130340725, + "grad_norm": 1.0234375, + "learning_rate": 0.0002665094221687525, + "loss": 4.935, + "mean_token_accuracy": 0.21551574170589446, + "num_tokens": 11726016.0, + "step": 5220 + }, + { + "entropy": 5.413540506362915, + "epoch": 5.6489994591671175, + "grad_norm": 1.0234375, + "learning_rate": 0.0002660808244545054, + "loss": 4.7575, + "mean_token_accuracy": 0.23251993656158448, + "num_tokens": 11737589.0, + "step": 5225 + }, + { + "entropy": 5.4685218811035154, + "epoch": 5.6544077879935095, + "grad_norm": 0.91796875, + "learning_rate": 0.00026565225915256276, + "loss": 4.8658, + "mean_token_accuracy": 0.22948329597711564, + "num_tokens": 11747969.0, + "step": 5230 + }, + { + "entropy": 5.443226861953735, + "epoch": 5.659816116819902, + "grad_norm": 1.0625, + "learning_rate": 0.000265223727820332, + "loss": 4.836, + "mean_token_accuracy": 0.22504404336214065, + "num_tokens": 11759535.0, + "step": 5235 + }, + { + "entropy": 5.523590898513794, + "epoch": 5.665224445646295, + "grad_norm": 1.0390625, + "learning_rate": 0.0002647952320150969, + "loss": 4.9775, + "mean_token_accuracy": 0.21442292630672455, + "num_tokens": 11770863.0, + "step": 5240 + }, + { + "entropy": 5.485964727401734, + "epoch": 5.670632774472688, + "grad_norm": 1.015625, + "learning_rate": 0.0002643667732940122, + "loss": 4.9001, + "mean_token_accuracy": 0.216877081990242, + "num_tokens": 11782643.0, + "step": 5245 + }, + { + "entropy": 5.467176008224487, + "epoch": 5.676041103299081, + "grad_norm": 0.94921875, + "learning_rate": 0.00026393835321409796, + "loss": 4.933, + "mean_token_accuracy": 0.22458599954843522, + "num_tokens": 11794468.0, + "step": 5250 + }, + { + "entropy": 5.514464282989502, + "epoch": 5.681449432125473, + "grad_norm": 0.99609375, + "learning_rate": 0.00026350997333223375, + "loss": 4.8836, + "mean_token_accuracy": 0.23128425031900407, + "num_tokens": 11807051.0, + "step": 5255 + }, + { + "entropy": 5.432554149627686, + "epoch": 5.686857760951866, + "grad_norm": 1.046875, + "learning_rate": 0.00026308163520515293, + "loss": 4.9193, + "mean_token_accuracy": 0.21702346503734588, + "num_tokens": 11817067.0, + "step": 5260 + }, + { + "entropy": 5.428543901443481, + "epoch": 5.692266089778259, + "grad_norm": 0.9375, + "learning_rate": 0.00026265334038943735, + "loss": 4.919, + "mean_token_accuracy": 0.22408238500356675, + "num_tokens": 11828111.0, + "step": 5265 + }, + { + "entropy": 5.502649211883545, + "epoch": 5.6976744186046515, + "grad_norm": 0.98828125, + "learning_rate": 0.0002622250904415113, + "loss": 4.8822, + "mean_token_accuracy": 0.2273074984550476, + "num_tokens": 11838536.0, + "step": 5270 + }, + { + "entropy": 5.53525743484497, + "epoch": 5.7030827474310435, + "grad_norm": 1.0234375, + "learning_rate": 0.0002617968869176362, + "loss": 4.9228, + "mean_token_accuracy": 0.22227408438920976, + "num_tokens": 11848899.0, + "step": 5275 + }, + { + "entropy": 5.473860883712769, + "epoch": 5.708491076257436, + "grad_norm": 0.98046875, + "learning_rate": 0.0002613687313739044, + "loss": 4.9651, + "mean_token_accuracy": 0.22359169721603395, + "num_tokens": 11861023.0, + "step": 5280 + }, + { + "entropy": 5.43254508972168, + "epoch": 5.713899405083829, + "grad_norm": 1.015625, + "learning_rate": 0.0002609406253662344, + "loss": 4.9318, + "mean_token_accuracy": 0.21903841942548752, + "num_tokens": 11871953.0, + "step": 5285 + }, + { + "entropy": 5.501645612716675, + "epoch": 5.719307733910222, + "grad_norm": 1.1171875, + "learning_rate": 0.0002605125704503643, + "loss": 4.9505, + "mean_token_accuracy": 0.2237919017672539, + "num_tokens": 11882874.0, + "step": 5290 + }, + { + "entropy": 5.58112268447876, + "epoch": 5.724716062736614, + "grad_norm": 0.95703125, + "learning_rate": 0.0002600845681818467, + "loss": 4.8646, + "mean_token_accuracy": 0.22650408893823623, + "num_tokens": 11893431.0, + "step": 5295 + }, + { + "entropy": 5.454003143310547, + "epoch": 5.730124391563007, + "grad_norm": 0.9296875, + "learning_rate": 0.0002596566201160427, + "loss": 4.8851, + "mean_token_accuracy": 0.22219976037740707, + "num_tokens": 11905311.0, + "step": 5300 + }, + { + "entropy": 5.404032039642334, + "epoch": 5.7355327203894, + "grad_norm": 1.0078125, + "learning_rate": 0.00025922872780811664, + "loss": 4.9546, + "mean_token_accuracy": 0.21621623486280442, + "num_tokens": 11916342.0, + "step": 5305 + }, + { + "entropy": 5.492973470687867, + "epoch": 5.740941049215793, + "grad_norm": 1.046875, + "learning_rate": 0.00025880089281303027, + "loss": 4.9193, + "mean_token_accuracy": 0.21626884043216704, + "num_tokens": 11927485.0, + "step": 5310 + }, + { + "entropy": 5.476612329483032, + "epoch": 5.746349378042185, + "grad_norm": 1.015625, + "learning_rate": 0.00025837311668553683, + "loss": 4.8302, + "mean_token_accuracy": 0.2276885449886322, + "num_tokens": 11937968.0, + "step": 5315 + }, + { + "entropy": 5.44808611869812, + "epoch": 5.7517577068685775, + "grad_norm": 1.09375, + "learning_rate": 0.0002579454009801757, + "loss": 4.7927, + "mean_token_accuracy": 0.23528771847486496, + "num_tokens": 11947510.0, + "step": 5320 + }, + { + "entropy": 5.477059698104858, + "epoch": 5.75716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.0002575177472512669, + "loss": 4.9526, + "mean_token_accuracy": 0.2218560740351677, + "num_tokens": 11960002.0, + "step": 5325 + }, + { + "entropy": 5.444899559020996, + "epoch": 5.762574364521363, + "grad_norm": 0.9921875, + "learning_rate": 0.000257090157052905, + "loss": 4.8705, + "mean_token_accuracy": 0.21838984936475753, + "num_tokens": 11970895.0, + "step": 5330 + }, + { + "entropy": 5.459397077560425, + "epoch": 5.767982693347756, + "grad_norm": 1.015625, + "learning_rate": 0.00025666263193895375, + "loss": 4.888, + "mean_token_accuracy": 0.21968889981508255, + "num_tokens": 11982910.0, + "step": 5335 + }, + { + "entropy": 5.511087703704834, + "epoch": 5.773391022174148, + "grad_norm": 1.0546875, + "learning_rate": 0.00025623517346304027, + "loss": 4.9507, + "mean_token_accuracy": 0.21630610823631286, + "num_tokens": 11994066.0, + "step": 5340 + }, + { + "entropy": 5.47811861038208, + "epoch": 5.778799351000541, + "grad_norm": 0.96484375, + "learning_rate": 0.00025580778317855, + "loss": 4.8659, + "mean_token_accuracy": 0.22627412974834443, + "num_tokens": 12004821.0, + "step": 5345 + }, + { + "entropy": 5.475780200958252, + "epoch": 5.784207679826934, + "grad_norm": 1.0859375, + "learning_rate": 0.0002553804626386199, + "loss": 4.9451, + "mean_token_accuracy": 0.2223440647125244, + "num_tokens": 12014973.0, + "step": 5350 + }, + { + "entropy": 5.551906108856201, + "epoch": 5.789616008653326, + "grad_norm": 0.9453125, + "learning_rate": 0.0002549532133961339, + "loss": 5.0273, + "mean_token_accuracy": 0.2145695760846138, + "num_tokens": 12026528.0, + "step": 5355 + }, + { + "entropy": 5.607546472549439, + "epoch": 5.795024337479719, + "grad_norm": 1.0625, + "learning_rate": 0.00025452603700371675, + "loss": 5.0506, + "mean_token_accuracy": 0.21419217735528945, + "num_tokens": 12038733.0, + "step": 5360 + }, + { + "entropy": 5.5201372623443605, + "epoch": 5.800432666306111, + "grad_norm": 1.015625, + "learning_rate": 0.0002540989350137285, + "loss": 4.9722, + "mean_token_accuracy": 0.21627445071935653, + "num_tokens": 12049821.0, + "step": 5365 + }, + { + "entropy": 5.565732765197754, + "epoch": 5.805840995132504, + "grad_norm": 0.99609375, + "learning_rate": 0.00025367190897825873, + "loss": 4.9698, + "mean_token_accuracy": 0.21938712447881697, + "num_tokens": 12060982.0, + "step": 5370 + }, + { + "entropy": 5.489997673034668, + "epoch": 5.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 0.0002532449604491209, + "loss": 4.8542, + "mean_token_accuracy": 0.2305293619632721, + "num_tokens": 12070842.0, + "step": 5375 + }, + { + "entropy": 5.4013769149780275, + "epoch": 5.816657652785289, + "grad_norm": 1.0859375, + "learning_rate": 0.0002528180909778471, + "loss": 4.8389, + "mean_token_accuracy": 0.2326238349080086, + "num_tokens": 12080992.0, + "step": 5380 + }, + { + "entropy": 5.480729961395264, + "epoch": 5.822065981611682, + "grad_norm": 1.046875, + "learning_rate": 0.00025239130211568206, + "loss": 4.9151, + "mean_token_accuracy": 0.22242391854524612, + "num_tokens": 12091905.0, + "step": 5385 + }, + { + "entropy": 5.520739364624023, + "epoch": 5.827474310438075, + "grad_norm": 0.98828125, + "learning_rate": 0.00025196459541357725, + "loss": 4.817, + "mean_token_accuracy": 0.22727247029542924, + "num_tokens": 12101577.0, + "step": 5390 + }, + { + "entropy": 5.555675268173218, + "epoch": 5.832882639264467, + "grad_norm": 1.078125, + "learning_rate": 0.00025153797242218604, + "loss": 5.017, + "mean_token_accuracy": 0.21263125836849212, + "num_tokens": 12112593.0, + "step": 5395 + }, + { + "entropy": 5.465591239929199, + "epoch": 5.83829096809086, + "grad_norm": 1.0625, + "learning_rate": 0.00025111143469185715, + "loss": 4.8337, + "mean_token_accuracy": 0.22807640731334686, + "num_tokens": 12122947.0, + "step": 5400 + }, + { + "entropy": 5.38767294883728, + "epoch": 5.8436992969172525, + "grad_norm": 1.03125, + "learning_rate": 0.0002506849837726299, + "loss": 4.7973, + "mean_token_accuracy": 0.23990508764982224, + "num_tokens": 12133557.0, + "step": 5405 + }, + { + "entropy": 5.5033042430877686, + "epoch": 5.849107625743645, + "grad_norm": 0.9921875, + "learning_rate": 0.0002502586212142278, + "loss": 4.9525, + "mean_token_accuracy": 0.21751385182142258, + "num_tokens": 12144735.0, + "step": 5410 + }, + { + "entropy": 5.468432903289795, + "epoch": 5.854515954570038, + "grad_norm": 1.03125, + "learning_rate": 0.00024983234856605337, + "loss": 4.9072, + "mean_token_accuracy": 0.22422076314687728, + "num_tokens": 12155786.0, + "step": 5415 + }, + { + "entropy": 5.499530363082886, + "epoch": 5.85992428339643, + "grad_norm": 0.84375, + "learning_rate": 0.00024940616737718235, + "loss": 5.0033, + "mean_token_accuracy": 0.21500488370656967, + "num_tokens": 12168846.0, + "step": 5420 + }, + { + "entropy": 5.475531673431396, + "epoch": 5.865332612222823, + "grad_norm": 0.98828125, + "learning_rate": 0.0002489800791963583, + "loss": 4.8433, + "mean_token_accuracy": 0.21648556888103485, + "num_tokens": 12179743.0, + "step": 5425 + }, + { + "entropy": 5.5550652027130125, + "epoch": 5.870740941049216, + "grad_norm": 1.0546875, + "learning_rate": 0.00024855408557198657, + "loss": 4.9396, + "mean_token_accuracy": 0.2263997510075569, + "num_tokens": 12190754.0, + "step": 5430 + }, + { + "entropy": 5.522177076339721, + "epoch": 5.876149269875609, + "grad_norm": 1.0234375, + "learning_rate": 0.000248128188052129, + "loss": 4.926, + "mean_token_accuracy": 0.2201258659362793, + "num_tokens": 12201293.0, + "step": 5435 + }, + { + "entropy": 5.500701284408569, + "epoch": 5.881557598702001, + "grad_norm": 0.87890625, + "learning_rate": 0.00024770238818449804, + "loss": 4.9843, + "mean_token_accuracy": 0.22035838961601256, + "num_tokens": 12214361.0, + "step": 5440 + }, + { + "entropy": 5.56159987449646, + "epoch": 5.886965927528394, + "grad_norm": 1.0546875, + "learning_rate": 0.00024727668751645164, + "loss": 5.0753, + "mean_token_accuracy": 0.20683244466781617, + "num_tokens": 12226766.0, + "step": 5445 + }, + { + "entropy": 5.542806959152221, + "epoch": 5.8923742563547865, + "grad_norm": 1.1640625, + "learning_rate": 0.0002468510875949868, + "loss": 4.9784, + "mean_token_accuracy": 0.22004477828741073, + "num_tokens": 12237339.0, + "step": 5450 + }, + { + "entropy": 5.454771566390991, + "epoch": 5.897782585181179, + "grad_norm": 0.95703125, + "learning_rate": 0.00024642558996673474, + "loss": 4.8806, + "mean_token_accuracy": 0.233289235830307, + "num_tokens": 12248567.0, + "step": 5455 + }, + { + "entropy": 5.475730228424072, + "epoch": 5.903190914007571, + "grad_norm": 1.0546875, + "learning_rate": 0.00024600019617795465, + "loss": 4.8715, + "mean_token_accuracy": 0.22850371301174163, + "num_tokens": 12258968.0, + "step": 5460 + }, + { + "entropy": 5.529723405838013, + "epoch": 5.908599242833964, + "grad_norm": 0.94140625, + "learning_rate": 0.0002455749077745288, + "loss": 4.9315, + "mean_token_accuracy": 0.22943497598171234, + "num_tokens": 12271233.0, + "step": 5465 + }, + { + "entropy": 5.481137132644653, + "epoch": 5.914007571660357, + "grad_norm": 1.03125, + "learning_rate": 0.00024514972630195603, + "loss": 4.894, + "mean_token_accuracy": 0.21706456691026688, + "num_tokens": 12280634.0, + "step": 5470 + }, + { + "entropy": 5.46374282836914, + "epoch": 5.91941590048675, + "grad_norm": 0.9765625, + "learning_rate": 0.0002447246533053469, + "loss": 4.9344, + "mean_token_accuracy": 0.2250108987092972, + "num_tokens": 12292282.0, + "step": 5475 + }, + { + "entropy": 5.479931974411011, + "epoch": 5.924824229313142, + "grad_norm": 1.0703125, + "learning_rate": 0.00024429969032941756, + "loss": 4.9556, + "mean_token_accuracy": 0.2212103560566902, + "num_tokens": 12303940.0, + "step": 5480 + }, + { + "entropy": 5.509561538696289, + "epoch": 5.930232558139535, + "grad_norm": 1.1171875, + "learning_rate": 0.00024387483891848456, + "loss": 4.9408, + "mean_token_accuracy": 0.2256838709115982, + "num_tokens": 12315400.0, + "step": 5485 + }, + { + "entropy": 5.5094701766967775, + "epoch": 5.935640886965928, + "grad_norm": 0.91796875, + "learning_rate": 0.00024345010061645889, + "loss": 4.9519, + "mean_token_accuracy": 0.21615981161594391, + "num_tokens": 12327462.0, + "step": 5490 + }, + { + "entropy": 5.516644716262817, + "epoch": 5.9410492157923205, + "grad_norm": 0.9296875, + "learning_rate": 0.00024302547696684047, + "loss": 4.9017, + "mean_token_accuracy": 0.22320225536823274, + "num_tokens": 12338966.0, + "step": 5495 + }, + { + "entropy": 5.397993087768555, + "epoch": 5.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00024260096951271253, + "loss": 4.8006, + "mean_token_accuracy": 0.228230282664299, + "num_tokens": 12349663.0, + "step": 5500 + }, + { + "epoch": 5.9464575446187125, + "eval_entropy": 5.341046702861786, + "eval_loss": 5.824895858764648, + "eval_mean_token_accuracy": 0.18257011164995757, + "eval_num_tokens": 12349663.0, + "eval_runtime": 3.5324, + "eval_samples_per_second": 995.086, + "eval_steps_per_second": 124.563, + "step": 5500 + }, + { + "entropy": 5.416959285736084, + "epoch": 5.951865873445105, + "grad_norm": 0.890625, + "learning_rate": 0.00024217657979673634, + "loss": 4.8534, + "mean_token_accuracy": 0.22373966872692108, + "num_tokens": 12361304.0, + "step": 5505 + }, + { + "entropy": 5.374241685867309, + "epoch": 5.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.00024175230936114507, + "loss": 4.8172, + "mean_token_accuracy": 0.23078879565000535, + "num_tokens": 12372162.0, + "step": 5510 + }, + { + "entropy": 5.468687248229981, + "epoch": 5.962682531097891, + "grad_norm": 0.91015625, + "learning_rate": 0.0002413281597477384, + "loss": 4.8529, + "mean_token_accuracy": 0.22456154525279998, + "num_tokens": 12383916.0, + "step": 5515 + }, + { + "entropy": 5.549963569641113, + "epoch": 5.968090859924283, + "grad_norm": 1.0859375, + "learning_rate": 0.00024090413249787696, + "loss": 4.9632, + "mean_token_accuracy": 0.21773760467767717, + "num_tokens": 12394787.0, + "step": 5520 + }, + { + "entropy": 5.505368185043335, + "epoch": 5.973499188750676, + "grad_norm": 0.99609375, + "learning_rate": 0.0002404802291524768, + "loss": 4.8776, + "mean_token_accuracy": 0.23071094900369643, + "num_tokens": 12405905.0, + "step": 5525 + }, + { + "entropy": 5.4695710182189945, + "epoch": 5.978907517577069, + "grad_norm": 0.9140625, + "learning_rate": 0.00024005645125200375, + "loss": 4.9449, + "mean_token_accuracy": 0.2118888556957245, + "num_tokens": 12416785.0, + "step": 5530 + }, + { + "entropy": 5.4431023597717285, + "epoch": 5.984315846403462, + "grad_norm": 0.96484375, + "learning_rate": 0.0002396328003364675, + "loss": 4.8562, + "mean_token_accuracy": 0.22554307878017427, + "num_tokens": 12427900.0, + "step": 5535 + }, + { + "entropy": 5.566122770309448, + "epoch": 5.9897241752298545, + "grad_norm": 0.9765625, + "learning_rate": 0.00023920927794541665, + "loss": 4.9858, + "mean_token_accuracy": 0.22574359327554702, + "num_tokens": 12439823.0, + "step": 5540 + }, + { + "entropy": 5.481858730316162, + "epoch": 5.995132504056246, + "grad_norm": 0.97265625, + "learning_rate": 0.0002387858856179324, + "loss": 4.9084, + "mean_token_accuracy": 0.21990197598934175, + "num_tokens": 12450988.0, + "step": 5545 + }, + { + "entropy": 5.593845897250706, + "epoch": 6.0, + "grad_norm": 1.59375, + "learning_rate": 0.00023836262489262361, + "loss": 4.9818, + "mean_token_accuracy": 0.2241312480635113, + "num_tokens": 12461334.0, + "step": 5550 + }, + { + "entropy": 5.482817697525024, + "epoch": 6.005408328826393, + "grad_norm": 1.0234375, + "learning_rate": 0.00023793949730762049, + "loss": 4.711, + "mean_token_accuracy": 0.23801302611827851, + "num_tokens": 12473206.0, + "step": 5555 + }, + { + "entropy": 5.48074688911438, + "epoch": 6.010816657652786, + "grad_norm": 0.96484375, + "learning_rate": 0.00023751650440056982, + "loss": 4.8304, + "mean_token_accuracy": 0.22817761451005936, + "num_tokens": 12484247.0, + "step": 5560 + }, + { + "entropy": 5.4692436218261715, + "epoch": 6.016224986479178, + "grad_norm": 1.015625, + "learning_rate": 0.00023709364770862885, + "loss": 4.7426, + "mean_token_accuracy": 0.23947408199310302, + "num_tokens": 12495234.0, + "step": 5565 + }, + { + "entropy": 5.456657409667969, + "epoch": 6.0216333153055706, + "grad_norm": 1.1015625, + "learning_rate": 0.00023667092876845976, + "loss": 4.855, + "mean_token_accuracy": 0.2362171694636345, + "num_tokens": 12506516.0, + "step": 5570 + }, + { + "entropy": 5.474831008911133, + "epoch": 6.027041644131963, + "grad_norm": 1.046875, + "learning_rate": 0.0002362483491162239, + "loss": 4.7585, + "mean_token_accuracy": 0.23608235716819764, + "num_tokens": 12517238.0, + "step": 5575 + }, + { + "entropy": 5.505292367935181, + "epoch": 6.032449972958356, + "grad_norm": 1.0, + "learning_rate": 0.00023582591028757706, + "loss": 4.7658, + "mean_token_accuracy": 0.2349627658724785, + "num_tokens": 12527212.0, + "step": 5580 + }, + { + "entropy": 5.498833179473877, + "epoch": 6.037858301784748, + "grad_norm": 1.140625, + "learning_rate": 0.00023540361381766274, + "loss": 4.7521, + "mean_token_accuracy": 0.24202902466058732, + "num_tokens": 12537939.0, + "step": 5585 + }, + { + "entropy": 5.450468730926514, + "epoch": 6.043266630611141, + "grad_norm": 1.1015625, + "learning_rate": 0.0002349814612411073, + "loss": 4.7608, + "mean_token_accuracy": 0.2359851762652397, + "num_tokens": 12547987.0, + "step": 5590 + }, + { + "entropy": 5.448811483383179, + "epoch": 6.048674959437534, + "grad_norm": 1.078125, + "learning_rate": 0.00023455945409201411, + "loss": 4.7812, + "mean_token_accuracy": 0.22653527408838273, + "num_tokens": 12558505.0, + "step": 5595 + }, + { + "entropy": 5.464963436126709, + "epoch": 6.054083288263927, + "grad_norm": 0.94921875, + "learning_rate": 0.00023413759390395828, + "loss": 4.7156, + "mean_token_accuracy": 0.2361931696534157, + "num_tokens": 12569748.0, + "step": 5600 + }, + { + "entropy": 5.405935955047608, + "epoch": 6.059491617090319, + "grad_norm": 0.97265625, + "learning_rate": 0.0002337158822099807, + "loss": 4.6811, + "mean_token_accuracy": 0.23703676611185073, + "num_tokens": 12581420.0, + "step": 5605 + }, + { + "entropy": 5.496515464782715, + "epoch": 6.064899945916712, + "grad_norm": 0.97265625, + "learning_rate": 0.0002332943205425825, + "loss": 4.7871, + "mean_token_accuracy": 0.23721451163291932, + "num_tokens": 12593781.0, + "step": 5610 + }, + { + "entropy": 5.41494345664978, + "epoch": 6.0703082747431045, + "grad_norm": 0.96875, + "learning_rate": 0.00023287291043371978, + "loss": 4.7303, + "mean_token_accuracy": 0.23353902548551558, + "num_tokens": 12606264.0, + "step": 5615 + }, + { + "entropy": 5.530503511428833, + "epoch": 6.075716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.00023245165341479796, + "loss": 4.7879, + "mean_token_accuracy": 0.23578621298074723, + "num_tokens": 12617419.0, + "step": 5620 + }, + { + "entropy": 5.488958168029785, + "epoch": 6.081124932395889, + "grad_norm": 0.9921875, + "learning_rate": 0.00023203055101666593, + "loss": 4.7215, + "mean_token_accuracy": 0.23366791605949402, + "num_tokens": 12628628.0, + "step": 5625 + }, + { + "entropy": 5.430446004867553, + "epoch": 6.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 0.0002316096047696108, + "loss": 4.7062, + "mean_token_accuracy": 0.236600761115551, + "num_tokens": 12638375.0, + "step": 5630 + }, + { + "entropy": 5.397326183319092, + "epoch": 6.091941590048675, + "grad_norm": 1.0078125, + "learning_rate": 0.0002311888162033522, + "loss": 4.7394, + "mean_token_accuracy": 0.22856123596429825, + "num_tokens": 12649174.0, + "step": 5635 + }, + { + "entropy": 5.44256558418274, + "epoch": 6.097349918875068, + "grad_norm": 1.1171875, + "learning_rate": 0.00023076818684703682, + "loss": 4.699, + "mean_token_accuracy": 0.24027512669563295, + "num_tokens": 12659454.0, + "step": 5640 + }, + { + "entropy": 5.453388214111328, + "epoch": 6.10275824770146, + "grad_norm": 0.890625, + "learning_rate": 0.00023034771822923268, + "loss": 4.7424, + "mean_token_accuracy": 0.23804700821638108, + "num_tokens": 12672093.0, + "step": 5645 + }, + { + "entropy": 5.454080533981323, + "epoch": 6.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0002299274118779236, + "loss": 4.785, + "mean_token_accuracy": 0.2312723308801651, + "num_tokens": 12683628.0, + "step": 5650 + }, + { + "entropy": 5.4466057300567625, + "epoch": 6.113574905354246, + "grad_norm": 1.046875, + "learning_rate": 0.00022950726932050386, + "loss": 4.7334, + "mean_token_accuracy": 0.23570535182952881, + "num_tokens": 12694726.0, + "step": 5655 + }, + { + "entropy": 5.5058012962341305, + "epoch": 6.1189832341806385, + "grad_norm": 1.0234375, + "learning_rate": 0.00022908729208377267, + "loss": 4.7932, + "mean_token_accuracy": 0.23238887786865234, + "num_tokens": 12705292.0, + "step": 5660 + }, + { + "entropy": 5.484908533096314, + "epoch": 6.1243915630070305, + "grad_norm": 0.96484375, + "learning_rate": 0.00022866748169392815, + "loss": 4.7849, + "mean_token_accuracy": 0.23078074902296067, + "num_tokens": 12717721.0, + "step": 5665 + }, + { + "entropy": 5.498049545288086, + "epoch": 6.129799891833423, + "grad_norm": 1.1171875, + "learning_rate": 0.00022824783967656208, + "loss": 4.7845, + "mean_token_accuracy": 0.2278717815876007, + "num_tokens": 12728360.0, + "step": 5670 + }, + { + "entropy": 5.479033756256103, + "epoch": 6.135208220659816, + "grad_norm": 0.99609375, + "learning_rate": 0.00022782836755665475, + "loss": 4.8063, + "mean_token_accuracy": 0.23036560267210007, + "num_tokens": 12739771.0, + "step": 5675 + }, + { + "entropy": 5.458578395843506, + "epoch": 6.140616549486209, + "grad_norm": 0.9921875, + "learning_rate": 0.00022740906685856876, + "loss": 4.7555, + "mean_token_accuracy": 0.23326312750577927, + "num_tokens": 12750024.0, + "step": 5680 + }, + { + "entropy": 5.433383131027222, + "epoch": 6.146024878312601, + "grad_norm": 1.03125, + "learning_rate": 0.00022698993910604383, + "loss": 4.7345, + "mean_token_accuracy": 0.23391510397195817, + "num_tokens": 12761160.0, + "step": 5685 + }, + { + "entropy": 5.495377540588379, + "epoch": 6.151433207138994, + "grad_norm": 1.0, + "learning_rate": 0.000226570985822191, + "loss": 4.7313, + "mean_token_accuracy": 0.24146672785282136, + "num_tokens": 12773043.0, + "step": 5690 + }, + { + "entropy": 5.40164361000061, + "epoch": 6.156841535965387, + "grad_norm": 0.984375, + "learning_rate": 0.00022615220852948765, + "loss": 4.7302, + "mean_token_accuracy": 0.23376860320568085, + "num_tokens": 12783479.0, + "step": 5695 + }, + { + "entropy": 5.515926313400269, + "epoch": 6.16224986479178, + "grad_norm": 0.93359375, + "learning_rate": 0.00022573360874977145, + "loss": 4.8247, + "mean_token_accuracy": 0.23175337463617324, + "num_tokens": 12794889.0, + "step": 5700 + }, + { + "entropy": 5.480621385574341, + "epoch": 6.167658193618172, + "grad_norm": 1.0625, + "learning_rate": 0.00022531518800423484, + "loss": 4.7982, + "mean_token_accuracy": 0.22605834305286407, + "num_tokens": 12806161.0, + "step": 5705 + }, + { + "entropy": 5.527550983428955, + "epoch": 6.173066522444564, + "grad_norm": 0.9609375, + "learning_rate": 0.0002248969478134199, + "loss": 4.8218, + "mean_token_accuracy": 0.23102053105831147, + "num_tokens": 12817829.0, + "step": 5710 + }, + { + "entropy": 5.474001789093018, + "epoch": 6.178474851270957, + "grad_norm": 1.15625, + "learning_rate": 0.00022447888969721232, + "loss": 4.8695, + "mean_token_accuracy": 0.22121107429265977, + "num_tokens": 12828212.0, + "step": 5715 + }, + { + "entropy": 5.518413400650024, + "epoch": 6.18388318009735, + "grad_norm": 1.109375, + "learning_rate": 0.00022406101517483636, + "loss": 4.7935, + "mean_token_accuracy": 0.23179168701171876, + "num_tokens": 12840058.0, + "step": 5720 + }, + { + "entropy": 5.461467647552491, + "epoch": 6.189291508923742, + "grad_norm": 0.88671875, + "learning_rate": 0.00022364332576484897, + "loss": 4.7839, + "mean_token_accuracy": 0.230883426964283, + "num_tokens": 12852833.0, + "step": 5725 + }, + { + "entropy": 5.48510422706604, + "epoch": 6.194699837750135, + "grad_norm": 1.0078125, + "learning_rate": 0.0002232258229851345, + "loss": 4.7751, + "mean_token_accuracy": 0.23518833070993422, + "num_tokens": 12863487.0, + "step": 5730 + }, + { + "entropy": 5.440191650390625, + "epoch": 6.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00022280850835289885, + "loss": 4.6923, + "mean_token_accuracy": 0.23732944577932358, + "num_tokens": 12873952.0, + "step": 5735 + }, + { + "entropy": 5.431076765060425, + "epoch": 6.205516495402921, + "grad_norm": 1.140625, + "learning_rate": 0.00022239138338466452, + "loss": 4.7793, + "mean_token_accuracy": 0.23101767003536225, + "num_tokens": 12884462.0, + "step": 5740 + }, + { + "entropy": 5.446973085403442, + "epoch": 6.210924824229313, + "grad_norm": 1.078125, + "learning_rate": 0.00022197444959626451, + "loss": 4.727, + "mean_token_accuracy": 0.23917102962732315, + "num_tokens": 12894996.0, + "step": 5745 + }, + { + "entropy": 5.430508470535278, + "epoch": 6.2163331530557056, + "grad_norm": 1.0625, + "learning_rate": 0.00022155770850283723, + "loss": 4.7103, + "mean_token_accuracy": 0.2357731357216835, + "num_tokens": 12906256.0, + "step": 5750 + }, + { + "entropy": 5.462933015823364, + "epoch": 6.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.00022114116161882065, + "loss": 4.8337, + "mean_token_accuracy": 0.2271495670080185, + "num_tokens": 12918738.0, + "step": 5755 + }, + { + "entropy": 5.434539031982422, + "epoch": 6.227149810708491, + "grad_norm": 1.0, + "learning_rate": 0.00022072481045794733, + "loss": 4.7419, + "mean_token_accuracy": 0.2339697703719139, + "num_tokens": 12929918.0, + "step": 5760 + }, + { + "entropy": 5.537877035140991, + "epoch": 6.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.00022030865653323823, + "loss": 4.8251, + "mean_token_accuracy": 0.23042406886816025, + "num_tokens": 12941427.0, + "step": 5765 + }, + { + "entropy": 5.459821033477783, + "epoch": 6.237966468361276, + "grad_norm": 0.9921875, + "learning_rate": 0.0002198927013569977, + "loss": 4.755, + "mean_token_accuracy": 0.23522372245788575, + "num_tokens": 12952889.0, + "step": 5770 + }, + { + "entropy": 5.45594425201416, + "epoch": 6.243374797187669, + "grad_norm": 1.0859375, + "learning_rate": 0.0002194769464408076, + "loss": 4.7728, + "mean_token_accuracy": 0.23804499059915543, + "num_tokens": 12962928.0, + "step": 5775 + }, + { + "entropy": 5.472302389144898, + "epoch": 6.248783126014062, + "grad_norm": 1.1484375, + "learning_rate": 0.0002190613932955226, + "loss": 4.7282, + "mean_token_accuracy": 0.24171511083841324, + "num_tokens": 12972901.0, + "step": 5780 + }, + { + "entropy": 5.48187289237976, + "epoch": 6.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00021864604343126365, + "loss": 4.8139, + "mean_token_accuracy": 0.23290316462516786, + "num_tokens": 12985296.0, + "step": 5785 + }, + { + "entropy": 5.538161706924439, + "epoch": 6.259599783666847, + "grad_norm": 0.9921875, + "learning_rate": 0.00021823089835741312, + "loss": 4.881, + "mean_token_accuracy": 0.22790266275405885, + "num_tokens": 12997069.0, + "step": 5790 + }, + { + "entropy": 5.485204887390137, + "epoch": 6.2650081124932395, + "grad_norm": 1.046875, + "learning_rate": 0.000217815959582609, + "loss": 4.7595, + "mean_token_accuracy": 0.23940668255090714, + "num_tokens": 13007147.0, + "step": 5795 + }, + { + "entropy": 5.438343048095703, + "epoch": 6.270416441319632, + "grad_norm": 0.984375, + "learning_rate": 0.00021740122861473992, + "loss": 4.7979, + "mean_token_accuracy": 0.23777374029159545, + "num_tokens": 13019084.0, + "step": 5800 + }, + { + "entropy": 5.5151256084442135, + "epoch": 6.275824770146025, + "grad_norm": 0.93359375, + "learning_rate": 0.00021698670696093932, + "loss": 4.8021, + "mean_token_accuracy": 0.23370311856269838, + "num_tokens": 13030751.0, + "step": 5805 + }, + { + "entropy": 5.4750467300415036, + "epoch": 6.281233098972417, + "grad_norm": 0.98046875, + "learning_rate": 0.00021657239612757963, + "loss": 4.7488, + "mean_token_accuracy": 0.23250595033168792, + "num_tokens": 13042731.0, + "step": 5810 + }, + { + "entropy": 5.464777565002441, + "epoch": 6.28664142779881, + "grad_norm": 1.0546875, + "learning_rate": 0.00021615829762026734, + "loss": 4.7205, + "mean_token_accuracy": 0.23873378783464433, + "num_tokens": 13053442.0, + "step": 5815 + }, + { + "entropy": 5.484056568145752, + "epoch": 6.292049756625203, + "grad_norm": 1.125, + "learning_rate": 0.00021574441294383752, + "loss": 4.7793, + "mean_token_accuracy": 0.2335501179099083, + "num_tokens": 13063911.0, + "step": 5820 + }, + { + "entropy": 5.4915848731994625, + "epoch": 6.297458085451596, + "grad_norm": 0.91796875, + "learning_rate": 0.00021533074360234806, + "loss": 4.8487, + "mean_token_accuracy": 0.22842135578393935, + "num_tokens": 13075887.0, + "step": 5825 + }, + { + "entropy": 5.432464218139648, + "epoch": 6.302866414277988, + "grad_norm": 1.0859375, + "learning_rate": 0.00021491729109907414, + "loss": 4.7111, + "mean_token_accuracy": 0.24290824681520462, + "num_tokens": 13087320.0, + "step": 5830 + }, + { + "entropy": 5.4360270500183105, + "epoch": 6.308274743104381, + "grad_norm": 1.0078125, + "learning_rate": 0.00021450405693650333, + "loss": 4.7483, + "mean_token_accuracy": 0.2368444621562958, + "num_tokens": 13099078.0, + "step": 5835 + }, + { + "entropy": 5.488501501083374, + "epoch": 6.3136830719307735, + "grad_norm": 1.0078125, + "learning_rate": 0.00021409104261632932, + "loss": 4.8415, + "mean_token_accuracy": 0.23506940752267838, + "num_tokens": 13111909.0, + "step": 5840 + }, + { + "entropy": 5.4188000679016115, + "epoch": 6.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.00021367824963944727, + "loss": 4.736, + "mean_token_accuracy": 0.2346210688352585, + "num_tokens": 13123297.0, + "step": 5845 + }, + { + "entropy": 5.407528495788574, + "epoch": 6.324499729583558, + "grad_norm": 1.0078125, + "learning_rate": 0.00021326567950594766, + "loss": 4.7807, + "mean_token_accuracy": 0.23231735378503798, + "num_tokens": 13133959.0, + "step": 5850 + }, + { + "entropy": 5.401265668869018, + "epoch": 6.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.0002128533337151114, + "loss": 4.6422, + "mean_token_accuracy": 0.24409369081258775, + "num_tokens": 13144858.0, + "step": 5855 + }, + { + "entropy": 5.4279073715209964, + "epoch": 6.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.0002124412137654041, + "loss": 4.7921, + "mean_token_accuracy": 0.2318548381328583, + "num_tokens": 13156437.0, + "step": 5860 + }, + { + "entropy": 5.446533298492431, + "epoch": 6.340724716062737, + "grad_norm": 1.046875, + "learning_rate": 0.00021202932115447056, + "loss": 4.7419, + "mean_token_accuracy": 0.24057282507419586, + "num_tokens": 13166860.0, + "step": 5865 + }, + { + "entropy": 5.4611639976501465, + "epoch": 6.346133044889129, + "grad_norm": 1.078125, + "learning_rate": 0.00021161765737912937, + "loss": 4.8228, + "mean_token_accuracy": 0.23280464708805085, + "num_tokens": 13178563.0, + "step": 5870 + }, + { + "entropy": 5.496692562103272, + "epoch": 6.351541373715522, + "grad_norm": 1.0703125, + "learning_rate": 0.00021120622393536775, + "loss": 4.7578, + "mean_token_accuracy": 0.22650425583124162, + "num_tokens": 13189915.0, + "step": 5875 + }, + { + "entropy": 5.509976005554199, + "epoch": 6.356949702541915, + "grad_norm": 1.125, + "learning_rate": 0.00021079502231833585, + "loss": 4.7769, + "mean_token_accuracy": 0.2329890564084053, + "num_tokens": 13201767.0, + "step": 5880 + }, + { + "entropy": 5.455395841598511, + "epoch": 6.3623580313683075, + "grad_norm": 1.1484375, + "learning_rate": 0.00021038405402234116, + "loss": 4.7817, + "mean_token_accuracy": 0.23451150208711624, + "num_tokens": 13212265.0, + "step": 5885 + }, + { + "entropy": 5.424297761917114, + "epoch": 6.367766360194699, + "grad_norm": 0.94140625, + "learning_rate": 0.0002099733205408435, + "loss": 4.8023, + "mean_token_accuracy": 0.23045464754104614, + "num_tokens": 13223503.0, + "step": 5890 + }, + { + "entropy": 5.491450643539428, + "epoch": 6.373174689021092, + "grad_norm": 1.1015625, + "learning_rate": 0.0002095628233664492, + "loss": 4.7904, + "mean_token_accuracy": 0.22897710502147675, + "num_tokens": 13234797.0, + "step": 5895 + }, + { + "entropy": 5.440606880187988, + "epoch": 6.378583017847485, + "grad_norm": 1.046875, + "learning_rate": 0.0002091525639909061, + "loss": 4.7548, + "mean_token_accuracy": 0.2377723589539528, + "num_tokens": 13246421.0, + "step": 5900 + }, + { + "entropy": 5.4440460205078125, + "epoch": 6.383991346673878, + "grad_norm": 0.96875, + "learning_rate": 0.00020874254390509757, + "loss": 4.7624, + "mean_token_accuracy": 0.23135251700878143, + "num_tokens": 13256747.0, + "step": 5905 + }, + { + "entropy": 5.482359123229981, + "epoch": 6.38939967550027, + "grad_norm": 1.1484375, + "learning_rate": 0.00020833276459903766, + "loss": 4.74, + "mean_token_accuracy": 0.23761427402496338, + "num_tokens": 13267620.0, + "step": 5910 + }, + { + "entropy": 5.496868753433228, + "epoch": 6.394808004326663, + "grad_norm": 1.03125, + "learning_rate": 0.0002079232275618651, + "loss": 4.7261, + "mean_token_accuracy": 0.23711277842521666, + "num_tokens": 13277818.0, + "step": 5915 + }, + { + "entropy": 5.354647064208985, + "epoch": 6.400216333153056, + "grad_norm": 1.0546875, + "learning_rate": 0.0002075139342818388, + "loss": 4.6986, + "mean_token_accuracy": 0.2438313126564026, + "num_tokens": 13289905.0, + "step": 5920 + }, + { + "entropy": 5.426370525360108, + "epoch": 6.405624661979449, + "grad_norm": 0.92578125, + "learning_rate": 0.00020710488624633118, + "loss": 4.6988, + "mean_token_accuracy": 0.23948602080345155, + "num_tokens": 13302465.0, + "step": 5925 + }, + { + "entropy": 5.454558897018432, + "epoch": 6.411032990805841, + "grad_norm": 1.078125, + "learning_rate": 0.00020669608494182384, + "loss": 4.7905, + "mean_token_accuracy": 0.2280614882707596, + "num_tokens": 13314366.0, + "step": 5930 + }, + { + "entropy": 5.339557838439942, + "epoch": 6.416441319632233, + "grad_norm": 1.0078125, + "learning_rate": 0.00020628753185390164, + "loss": 4.639, + "mean_token_accuracy": 0.24252013713121415, + "num_tokens": 13324981.0, + "step": 5935 + }, + { + "entropy": 5.456610202789307, + "epoch": 6.421849648458626, + "grad_norm": 1.015625, + "learning_rate": 0.0002058792284672475, + "loss": 4.7473, + "mean_token_accuracy": 0.234878046810627, + "num_tokens": 13335705.0, + "step": 5940 + }, + { + "entropy": 5.3233154296875, + "epoch": 6.427257977285019, + "grad_norm": 1.015625, + "learning_rate": 0.0002054711762656369, + "loss": 4.6921, + "mean_token_accuracy": 0.23819227814674376, + "num_tokens": 13346515.0, + "step": 5945 + }, + { + "entropy": 5.402464580535889, + "epoch": 6.432666306111411, + "grad_norm": 1.0078125, + "learning_rate": 0.00020506337673193236, + "loss": 4.7412, + "mean_token_accuracy": 0.23467027246952057, + "num_tokens": 13357780.0, + "step": 5950 + }, + { + "entropy": 5.4471968650817875, + "epoch": 6.438074634937804, + "grad_norm": 0.98828125, + "learning_rate": 0.00020465583134807836, + "loss": 4.7435, + "mean_token_accuracy": 0.24032192826271057, + "num_tokens": 13369549.0, + "step": 5955 + }, + { + "entropy": 5.520180511474609, + "epoch": 6.443482963764197, + "grad_norm": 1.0390625, + "learning_rate": 0.00020424854159509587, + "loss": 4.8087, + "mean_token_accuracy": 0.2298721730709076, + "num_tokens": 13380259.0, + "step": 5960 + }, + { + "entropy": 5.495610284805298, + "epoch": 6.44889129259059, + "grad_norm": 1.171875, + "learning_rate": 0.0002038415089530767, + "loss": 4.8364, + "mean_token_accuracy": 0.2270108386874199, + "num_tokens": 13392049.0, + "step": 5965 + }, + { + "entropy": 5.467788505554199, + "epoch": 6.4542996214169825, + "grad_norm": 1.09375, + "learning_rate": 0.00020343473490117846, + "loss": 4.7871, + "mean_token_accuracy": 0.22844729274511338, + "num_tokens": 13403874.0, + "step": 5970 + }, + { + "entropy": 5.432657051086426, + "epoch": 6.4597079502433745, + "grad_norm": 1.1171875, + "learning_rate": 0.00020302822091761884, + "loss": 4.7664, + "mean_token_accuracy": 0.2360194906592369, + "num_tokens": 13415194.0, + "step": 5975 + }, + { + "entropy": 5.463835048675537, + "epoch": 6.465116279069767, + "grad_norm": 1.203125, + "learning_rate": 0.00020262196847967091, + "loss": 4.7913, + "mean_token_accuracy": 0.23191041946411134, + "num_tokens": 13425159.0, + "step": 5980 + }, + { + "entropy": 5.454825782775879, + "epoch": 6.47052460789616, + "grad_norm": 0.98828125, + "learning_rate": 0.00020221597906365667, + "loss": 4.7798, + "mean_token_accuracy": 0.23226822465658187, + "num_tokens": 13437279.0, + "step": 5985 + }, + { + "entropy": 5.478639888763428, + "epoch": 6.475932936722553, + "grad_norm": 0.95703125, + "learning_rate": 0.00020181025414494285, + "loss": 4.7898, + "mean_token_accuracy": 0.2360480844974518, + "num_tokens": 13449170.0, + "step": 5990 + }, + { + "entropy": 5.514584064483643, + "epoch": 6.481341265548945, + "grad_norm": 1.0546875, + "learning_rate": 0.0002014047951979344, + "loss": 4.8438, + "mean_token_accuracy": 0.22370945364236833, + "num_tokens": 13460216.0, + "step": 5995 + }, + { + "entropy": 5.464205169677735, + "epoch": 6.486749594375338, + "grad_norm": 1.0625, + "learning_rate": 0.0002009996036960704, + "loss": 4.7955, + "mean_token_accuracy": 0.2337394878268242, + "num_tokens": 13470468.0, + "step": 6000 + }, + { + "epoch": 6.486749594375338, + "eval_entropy": 5.356367090615359, + "eval_loss": 5.836918830871582, + "eval_mean_token_accuracy": 0.18327153573997995, + "eval_num_tokens": 13470468.0, + "eval_runtime": 3.5524, + "eval_samples_per_second": 989.467, + "eval_steps_per_second": 123.859, + "step": 6000 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 3119867878440960.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-6000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-6500/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..ea755d9 --- /dev/null +++ b/checkpoint-6500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8eaa654be144cfe51deb87707ba8ebd483b221ec9ffd032342db0c7491e48c76 +size 78179408 diff --git a/checkpoint-6500/rng_state.pth b/checkpoint-6500/rng_state.pth new file mode 100644 index 0000000..67723bd --- /dev/null +++ b/checkpoint-6500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:719f261f6e5865180ade79432760781f22a912242613fbb4effa794b5ecdd2ff +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-6500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-6500/trainer_state.json b/checkpoint-6500/trainer_state.json new file mode 100644 index 0000000..115bb09 --- /dev/null +++ b/checkpoint-6500/trainer_state.json @@ -0,0 +1,13177 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 7.027041644131963, + "eval_steps": 500, + "global_step": 6500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + }, + { + "entropy": 5.5260412216186525, + "epoch": 4.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0003273583644789772, + "loss": 5.0416, + "mean_token_accuracy": 0.2119097203016281, + "num_tokens": 10116420.0, + "step": 4505 + }, + { + "entropy": 5.480229425430298, + "epoch": 4.876149269875609, + "grad_norm": 0.984375, + "learning_rate": 0.00032694112553039795, + "loss": 5.0407, + "mean_token_accuracy": 0.20997347682714462, + "num_tokens": 10127289.0, + "step": 4510 + }, + { + "entropy": 5.582333183288574, + "epoch": 4.881557598702001, + "grad_norm": 0.89453125, + "learning_rate": 0.0003265236978276484, + "loss": 5.1776, + "mean_token_accuracy": 0.2014921173453331, + "num_tokens": 10139216.0, + "step": 4515 + }, + { + "entropy": 5.586625242233277, + "epoch": 4.886965927528394, + "grad_norm": 0.9609375, + "learning_rate": 0.00032610608288766185, + "loss": 5.0455, + "mean_token_accuracy": 0.22018371075391768, + "num_tokens": 10150010.0, + "step": 4520 + }, + { + "entropy": 5.507440090179443, + "epoch": 4.8923742563547865, + "grad_norm": 0.93359375, + "learning_rate": 0.00032568828222805216, + "loss": 5.0416, + "mean_token_accuracy": 0.21397803723812103, + "num_tokens": 10161317.0, + "step": 4525 + }, + { + "entropy": 5.520569133758545, + "epoch": 4.897782585181179, + "grad_norm": 1.0390625, + "learning_rate": 0.0003252702973671075, + "loss": 5.0784, + "mean_token_accuracy": 0.22154383063316346, + "num_tokens": 10172681.0, + "step": 4530 + }, + { + "entropy": 5.564612579345703, + "epoch": 4.903190914007571, + "grad_norm": 0.9375, + "learning_rate": 0.00032485212982378615, + "loss": 5.0628, + "mean_token_accuracy": 0.21105246245861053, + "num_tokens": 10184755.0, + "step": 4535 + }, + { + "entropy": 5.513889312744141, + "epoch": 4.908599242833964, + "grad_norm": 1.015625, + "learning_rate": 0.0003244337811177098, + "loss": 5.0479, + "mean_token_accuracy": 0.21932805627584456, + "num_tokens": 10195252.0, + "step": 4540 + }, + { + "entropy": 5.543384790420532, + "epoch": 4.914007571660357, + "grad_norm": 0.97265625, + "learning_rate": 0.0003240152527691586, + "loss": 5.152, + "mean_token_accuracy": 0.1962687239050865, + "num_tokens": 10207660.0, + "step": 4545 + }, + { + "entropy": 5.5311463356018065, + "epoch": 4.91941590048675, + "grad_norm": 0.94140625, + "learning_rate": 0.00032359654629906555, + "loss": 5.0906, + "mean_token_accuracy": 0.21332904547452927, + "num_tokens": 10218154.0, + "step": 4550 + }, + { + "entropy": 5.496583652496338, + "epoch": 4.924824229313142, + "grad_norm": 0.92578125, + "learning_rate": 0.00032317766322901106, + "loss": 5.0363, + "mean_token_accuracy": 0.2050163671374321, + "num_tokens": 10229624.0, + "step": 4555 + }, + { + "entropy": 5.5351176261901855, + "epoch": 4.930232558139535, + "grad_norm": 0.97265625, + "learning_rate": 0.000322758605081217, + "loss": 5.0029, + "mean_token_accuracy": 0.2171091064810753, + "num_tokens": 10240338.0, + "step": 4560 + }, + { + "entropy": 5.489692735671997, + "epoch": 4.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.00032233937337854167, + "loss": 5.0781, + "mean_token_accuracy": 0.21066401302814483, + "num_tokens": 10250721.0, + "step": 4565 + }, + { + "entropy": 5.483132600784302, + "epoch": 4.9410492157923205, + "grad_norm": 0.85546875, + "learning_rate": 0.0003219199696444741, + "loss": 5.1115, + "mean_token_accuracy": 0.20521238595247268, + "num_tokens": 10262596.0, + "step": 4570 + }, + { + "entropy": 5.630878591537476, + "epoch": 4.9464575446187125, + "grad_norm": 0.9375, + "learning_rate": 0.00032150039540312843, + "loss": 5.2161, + "mean_token_accuracy": 0.20218149423599244, + "num_tokens": 10275043.0, + "step": 4575 + }, + { + "entropy": 5.597415924072266, + "epoch": 4.951865873445105, + "grad_norm": 0.86328125, + "learning_rate": 0.00032108065217923836, + "loss": 5.1768, + "mean_token_accuracy": 0.20507008731365203, + "num_tokens": 10286593.0, + "step": 4580 + }, + { + "entropy": 5.684569835662842, + "epoch": 4.957274202271498, + "grad_norm": 0.91796875, + "learning_rate": 0.00032066074149815184, + "loss": 5.1852, + "mean_token_accuracy": 0.20786730647087098, + "num_tokens": 10297459.0, + "step": 4585 + }, + { + "entropy": 5.420581722259522, + "epoch": 4.962682531097891, + "grad_norm": 0.8984375, + "learning_rate": 0.00032024066488582517, + "loss": 4.9087, + "mean_token_accuracy": 0.22307772785425187, + "num_tokens": 10308397.0, + "step": 4590 + }, + { + "entropy": 5.616361284255982, + "epoch": 4.968090859924283, + "grad_norm": 0.9921875, + "learning_rate": 0.0003198204238688178, + "loss": 5.1932, + "mean_token_accuracy": 0.20035981386899948, + "num_tokens": 10319648.0, + "step": 4595 + }, + { + "entropy": 5.652286148071289, + "epoch": 4.973499188750676, + "grad_norm": 0.94140625, + "learning_rate": 0.00031940001997428645, + "loss": 5.1707, + "mean_token_accuracy": 0.2010723575949669, + "num_tokens": 10330922.0, + "step": 4600 + }, + { + "entropy": 5.523626327514648, + "epoch": 4.978907517577069, + "grad_norm": 1.03125, + "learning_rate": 0.00031897945472997996, + "loss": 5.0548, + "mean_token_accuracy": 0.20578106194734574, + "num_tokens": 10341959.0, + "step": 4605 + }, + { + "entropy": 5.5449658870697025, + "epoch": 4.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0003185587296642333, + "loss": 5.1312, + "mean_token_accuracy": 0.21090947985649108, + "num_tokens": 10353125.0, + "step": 4610 + }, + { + "entropy": 5.567223691940308, + "epoch": 4.9897241752298545, + "grad_norm": 1.0546875, + "learning_rate": 0.0003181378463059625, + "loss": 5.155, + "mean_token_accuracy": 0.2045162320137024, + "num_tokens": 10364528.0, + "step": 4615 + }, + { + "entropy": 5.502493953704834, + "epoch": 4.995132504056246, + "grad_norm": 0.8984375, + "learning_rate": 0.0003177168061846584, + "loss": 5.013, + "mean_token_accuracy": 0.21816083341836928, + "num_tokens": 10375252.0, + "step": 4620 + }, + { + "entropy": 5.496442000071208, + "epoch": 5.0, + "grad_norm": 1.84375, + "learning_rate": 0.0003172956108303819, + "loss": 4.9872, + "mean_token_accuracy": 0.216766443517473, + "num_tokens": 10384445.0, + "step": 4625 + }, + { + "entropy": 5.528093242645264, + "epoch": 5.005408328826393, + "grad_norm": 0.88671875, + "learning_rate": 0.0003168742617737579, + "loss": 4.9556, + "mean_token_accuracy": 0.21919166445732116, + "num_tokens": 10396122.0, + "step": 4630 + }, + { + "entropy": 5.603008890151978, + "epoch": 5.010816657652786, + "grad_norm": 0.7890625, + "learning_rate": 0.00031645276054597006, + "loss": 4.9064, + "mean_token_accuracy": 0.2211405813694, + "num_tokens": 10409135.0, + "step": 4635 + }, + { + "entropy": 5.586550092697143, + "epoch": 5.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.00031603110867875435, + "loss": 4.8883, + "mean_token_accuracy": 0.22872422486543656, + "num_tokens": 10421068.0, + "step": 4640 + }, + { + "entropy": 5.501196575164795, + "epoch": 5.0216333153055706, + "grad_norm": 0.953125, + "learning_rate": 0.000315609307704395, + "loss": 4.8529, + "mean_token_accuracy": 0.2281401500105858, + "num_tokens": 10432117.0, + "step": 4645 + }, + { + "entropy": 5.535338020324707, + "epoch": 5.027041644131963, + "grad_norm": 0.8984375, + "learning_rate": 0.0003151873591557176, + "loss": 4.8912, + "mean_token_accuracy": 0.22080296128988267, + "num_tokens": 10443547.0, + "step": 4650 + }, + { + "entropy": 5.5264379501342775, + "epoch": 5.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.00031476526456608415, + "loss": 4.8489, + "mean_token_accuracy": 0.22700522541999818, + "num_tokens": 10455038.0, + "step": 4655 + }, + { + "entropy": 5.550225639343262, + "epoch": 5.037858301784748, + "grad_norm": 0.95703125, + "learning_rate": 0.0003143430254693873, + "loss": 4.9477, + "mean_token_accuracy": 0.21674466133117676, + "num_tokens": 10466682.0, + "step": 4660 + }, + { + "entropy": 5.5271460056304935, + "epoch": 5.043266630611141, + "grad_norm": 1.0078125, + "learning_rate": 0.0003139206434000451, + "loss": 4.9151, + "mean_token_accuracy": 0.22240815162658692, + "num_tokens": 10478575.0, + "step": 4665 + }, + { + "entropy": 5.569495391845703, + "epoch": 5.048674959437534, + "grad_norm": 0.94140625, + "learning_rate": 0.0003134981198929948, + "loss": 4.8959, + "mean_token_accuracy": 0.2266492411494255, + "num_tokens": 10490088.0, + "step": 4670 + }, + { + "entropy": 5.498064756393433, + "epoch": 5.054083288263927, + "grad_norm": 1.0546875, + "learning_rate": 0.00031307545648368777, + "loss": 4.7767, + "mean_token_accuracy": 0.2328466773033142, + "num_tokens": 10499877.0, + "step": 4675 + }, + { + "entropy": 5.46832504272461, + "epoch": 5.059491617090319, + "grad_norm": 0.9765625, + "learning_rate": 0.00031265265470808393, + "loss": 4.7688, + "mean_token_accuracy": 0.23446664959192276, + "num_tokens": 10509830.0, + "step": 4680 + }, + { + "entropy": 5.477397060394287, + "epoch": 5.064899945916712, + "grad_norm": 1.0078125, + "learning_rate": 0.00031222971610264595, + "loss": 4.8014, + "mean_token_accuracy": 0.22999125868082046, + "num_tokens": 10520072.0, + "step": 4685 + }, + { + "entropy": 5.526410722732544, + "epoch": 5.0703082747431045, + "grad_norm": 1.0, + "learning_rate": 0.00031180664220433347, + "loss": 4.9696, + "mean_token_accuracy": 0.22071902453899384, + "num_tokens": 10531260.0, + "step": 4690 + }, + { + "entropy": 5.477414608001709, + "epoch": 5.075716603569497, + "grad_norm": 1.0, + "learning_rate": 0.00031138343455059823, + "loss": 4.8571, + "mean_token_accuracy": 0.22696343213319778, + "num_tokens": 10542971.0, + "step": 4695 + }, + { + "entropy": 5.464529418945313, + "epoch": 5.081124932395889, + "grad_norm": 0.97265625, + "learning_rate": 0.0003109600946793778, + "loss": 4.8392, + "mean_token_accuracy": 0.2284951239824295, + "num_tokens": 10554101.0, + "step": 4700 + }, + { + "entropy": 5.605349922180176, + "epoch": 5.086533261222282, + "grad_norm": 0.94140625, + "learning_rate": 0.00031053662412909024, + "loss": 4.9924, + "mean_token_accuracy": 0.21688981205224991, + "num_tokens": 10565866.0, + "step": 4705 + }, + { + "entropy": 5.453184270858765, + "epoch": 5.091941590048675, + "grad_norm": 0.8671875, + "learning_rate": 0.0003101130244386283, + "loss": 4.8064, + "mean_token_accuracy": 0.23072075247764587, + "num_tokens": 10577276.0, + "step": 4710 + }, + { + "entropy": 5.594261884689331, + "epoch": 5.097349918875068, + "grad_norm": 0.9609375, + "learning_rate": 0.00030968929714735456, + "loss": 5.0054, + "mean_token_accuracy": 0.21874586939811708, + "num_tokens": 10588625.0, + "step": 4715 + }, + { + "entropy": 5.425375604629517, + "epoch": 5.10275824770146, + "grad_norm": 0.96875, + "learning_rate": 0.0003092654437950947, + "loss": 4.8637, + "mean_token_accuracy": 0.22720252275466918, + "num_tokens": 10599833.0, + "step": 4720 + }, + { + "entropy": 5.456516408920288, + "epoch": 5.108166576527853, + "grad_norm": 0.9921875, + "learning_rate": 0.0003088414659221331, + "loss": 4.8677, + "mean_token_accuracy": 0.21797628104686737, + "num_tokens": 10610156.0, + "step": 4725 + }, + { + "entropy": 5.480758142471314, + "epoch": 5.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.000308417365069206, + "loss": 4.8825, + "mean_token_accuracy": 0.22795740216970445, + "num_tokens": 10619839.0, + "step": 4730 + }, + { + "entropy": 5.499576425552368, + "epoch": 5.1189832341806385, + "grad_norm": 0.97265625, + "learning_rate": 0.00030799314277749697, + "loss": 4.8791, + "mean_token_accuracy": 0.22572332620620728, + "num_tokens": 10631671.0, + "step": 4735 + }, + { + "entropy": 5.485957908630371, + "epoch": 5.1243915630070305, + "grad_norm": 1.0, + "learning_rate": 0.00030756880058863085, + "loss": 4.8818, + "mean_token_accuracy": 0.22702433317899703, + "num_tokens": 10642597.0, + "step": 4740 + }, + { + "entropy": 5.547960376739502, + "epoch": 5.129799891833423, + "grad_norm": 1.015625, + "learning_rate": 0.00030714434004466823, + "loss": 4.9414, + "mean_token_accuracy": 0.21335140615701675, + "num_tokens": 10653323.0, + "step": 4745 + }, + { + "entropy": 5.5615216255187985, + "epoch": 5.135208220659816, + "grad_norm": 0.9609375, + "learning_rate": 0.00030671976268809947, + "loss": 4.9737, + "mean_token_accuracy": 0.21917204856872557, + "num_tokens": 10665572.0, + "step": 4750 + }, + { + "entropy": 5.450459241867065, + "epoch": 5.140616549486209, + "grad_norm": 1.09375, + "learning_rate": 0.00030629507006183995, + "loss": 4.8015, + "mean_token_accuracy": 0.22744957357645035, + "num_tokens": 10676686.0, + "step": 4755 + }, + { + "entropy": 5.458092498779297, + "epoch": 5.146024878312601, + "grad_norm": 1.1328125, + "learning_rate": 0.0003058702637092234, + "loss": 4.9562, + "mean_token_accuracy": 0.2186889737844467, + "num_tokens": 10687188.0, + "step": 4760 + }, + { + "entropy": 5.513929224014282, + "epoch": 5.151433207138994, + "grad_norm": 0.95703125, + "learning_rate": 0.00030544534517399724, + "loss": 4.8805, + "mean_token_accuracy": 0.22149462401866912, + "num_tokens": 10698343.0, + "step": 4765 + }, + { + "entropy": 5.509257984161377, + "epoch": 5.156841535965387, + "grad_norm": 0.94921875, + "learning_rate": 0.0003050203160003163, + "loss": 4.8566, + "mean_token_accuracy": 0.2240440934896469, + "num_tokens": 10710732.0, + "step": 4770 + }, + { + "entropy": 5.527531480789184, + "epoch": 5.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.0003045951777327377, + "loss": 4.9337, + "mean_token_accuracy": 0.2243843585252762, + "num_tokens": 10722397.0, + "step": 4775 + }, + { + "entropy": 5.396258449554443, + "epoch": 5.167658193618172, + "grad_norm": 0.96484375, + "learning_rate": 0.0003041699319162148, + "loss": 4.8263, + "mean_token_accuracy": 0.221099328994751, + "num_tokens": 10733714.0, + "step": 4780 + }, + { + "entropy": 5.487423133850098, + "epoch": 5.173066522444564, + "grad_norm": 0.921875, + "learning_rate": 0.00030374458009609193, + "loss": 4.9096, + "mean_token_accuracy": 0.22515179812908173, + "num_tokens": 10745748.0, + "step": 4785 + }, + { + "entropy": 5.6112525939941404, + "epoch": 5.178474851270957, + "grad_norm": 1.015625, + "learning_rate": 0.0003033191238180985, + "loss": 4.9403, + "mean_token_accuracy": 0.2272365614771843, + "num_tokens": 10756094.0, + "step": 4790 + }, + { + "entropy": 5.50868330001831, + "epoch": 5.18388318009735, + "grad_norm": 0.9921875, + "learning_rate": 0.0003028935646283438, + "loss": 4.994, + "mean_token_accuracy": 0.21618228554725646, + "num_tokens": 10768068.0, + "step": 4795 + }, + { + "entropy": 5.4779845714569095, + "epoch": 5.189291508923742, + "grad_norm": 1.03125, + "learning_rate": 0.00030246790407331063, + "loss": 4.8476, + "mean_token_accuracy": 0.2233078360557556, + "num_tokens": 10778917.0, + "step": 4800 + }, + { + "entropy": 5.495712518692017, + "epoch": 5.194699837750135, + "grad_norm": 0.99609375, + "learning_rate": 0.00030204214369985066, + "loss": 4.8669, + "mean_token_accuracy": 0.2277569890022278, + "num_tokens": 10790552.0, + "step": 4805 + }, + { + "entropy": 5.527979612350464, + "epoch": 5.200108166576528, + "grad_norm": 0.94140625, + "learning_rate": 0.00030161628505517797, + "loss": 4.9054, + "mean_token_accuracy": 0.21913376003503798, + "num_tokens": 10803199.0, + "step": 4810 + }, + { + "entropy": 5.44367413520813, + "epoch": 5.205516495402921, + "grad_norm": 0.984375, + "learning_rate": 0.00030119032968686397, + "loss": 4.8415, + "mean_token_accuracy": 0.22889240086078644, + "num_tokens": 10814339.0, + "step": 4815 + }, + { + "entropy": 5.460538148880005, + "epoch": 5.210924824229313, + "grad_norm": 0.9140625, + "learning_rate": 0.00030076427914283127, + "loss": 4.9144, + "mean_token_accuracy": 0.21594512164592744, + "num_tokens": 10825776.0, + "step": 4820 + }, + { + "entropy": 5.530256366729736, + "epoch": 5.2163331530557056, + "grad_norm": 0.99609375, + "learning_rate": 0.00030033813497134864, + "loss": 4.8544, + "mean_token_accuracy": 0.22742793411016465, + "num_tokens": 10837179.0, + "step": 4825 + }, + { + "entropy": 5.434867238998413, + "epoch": 5.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.000299911898721025, + "loss": 4.9009, + "mean_token_accuracy": 0.22611162364482879, + "num_tokens": 10847205.0, + "step": 4830 + }, + { + "entropy": 5.504870128631592, + "epoch": 5.227149810708491, + "grad_norm": 0.859375, + "learning_rate": 0.00029948557194080385, + "loss": 4.8953, + "mean_token_accuracy": 0.2238959863781929, + "num_tokens": 10859895.0, + "step": 4835 + }, + { + "entropy": 5.442061185836792, + "epoch": 5.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.0002990591561799576, + "loss": 4.9241, + "mean_token_accuracy": 0.21286537796258925, + "num_tokens": 10871286.0, + "step": 4840 + }, + { + "entropy": 5.443824434280396, + "epoch": 5.237966468361276, + "grad_norm": 1.03125, + "learning_rate": 0.0002986326529880823, + "loss": 4.756, + "mean_token_accuracy": 0.23349499106407165, + "num_tokens": 10883479.0, + "step": 4845 + }, + { + "entropy": 5.577119398117065, + "epoch": 5.243374797187669, + "grad_norm": 1.125, + "learning_rate": 0.0002982060639150913, + "loss": 4.9296, + "mean_token_accuracy": 0.22659704983234405, + "num_tokens": 10895432.0, + "step": 4850 + }, + { + "entropy": 5.486083078384399, + "epoch": 5.248783126014062, + "grad_norm": 0.953125, + "learning_rate": 0.0002977793905112106, + "loss": 4.9538, + "mean_token_accuracy": 0.22209923714399338, + "num_tokens": 10906891.0, + "step": 4855 + }, + { + "entropy": 5.444073104858399, + "epoch": 5.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00029735263432697183, + "loss": 4.9508, + "mean_token_accuracy": 0.21773838251829147, + "num_tokens": 10917706.0, + "step": 4860 + }, + { + "entropy": 5.456596851348877, + "epoch": 5.259599783666847, + "grad_norm": 0.9609375, + "learning_rate": 0.0002969257969132085, + "loss": 4.9405, + "mean_token_accuracy": 0.2228843316435814, + "num_tokens": 10929325.0, + "step": 4865 + }, + { + "entropy": 5.524547338485718, + "epoch": 5.2650081124932395, + "grad_norm": 1.109375, + "learning_rate": 0.0002964988798210485, + "loss": 4.9319, + "mean_token_accuracy": 0.2103923425078392, + "num_tokens": 10939899.0, + "step": 4870 + }, + { + "entropy": 5.495690202713012, + "epoch": 5.270416441319632, + "grad_norm": 0.9921875, + "learning_rate": 0.0002960718846019095, + "loss": 4.8823, + "mean_token_accuracy": 0.22650152891874314, + "num_tokens": 10949801.0, + "step": 4875 + }, + { + "entropy": 5.351631355285645, + "epoch": 5.275824770146025, + "grad_norm": 1.0078125, + "learning_rate": 0.0002956448128074931, + "loss": 4.7594, + "mean_token_accuracy": 0.2333318457007408, + "num_tokens": 10960191.0, + "step": 4880 + }, + { + "entropy": 5.565910768508911, + "epoch": 5.281233098972417, + "grad_norm": 0.88671875, + "learning_rate": 0.0002952176659897794, + "loss": 5.0229, + "mean_token_accuracy": 0.21818405240774155, + "num_tokens": 10972818.0, + "step": 4885 + }, + { + "entropy": 5.542775964736938, + "epoch": 5.28664142779881, + "grad_norm": 1.015625, + "learning_rate": 0.0002947904457010207, + "loss": 4.9287, + "mean_token_accuracy": 0.21841724514961242, + "num_tokens": 10984320.0, + "step": 4890 + }, + { + "entropy": 5.501249027252197, + "epoch": 5.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0002943631534937366, + "loss": 4.8801, + "mean_token_accuracy": 0.22640899568796158, + "num_tokens": 10995262.0, + "step": 4895 + }, + { + "entropy": 5.385098266601562, + "epoch": 5.297458085451596, + "grad_norm": 0.984375, + "learning_rate": 0.0002939357909207079, + "loss": 4.8709, + "mean_token_accuracy": 0.22468690872192382, + "num_tokens": 11005788.0, + "step": 4900 + }, + { + "entropy": 5.5195540428161625, + "epoch": 5.302866414277988, + "grad_norm": 1.0390625, + "learning_rate": 0.0002935083595349713, + "loss": 4.9028, + "mean_token_accuracy": 0.2290490075945854, + "num_tokens": 11016772.0, + "step": 4905 + }, + { + "entropy": 5.531022310256958, + "epoch": 5.308274743104381, + "grad_norm": 0.92578125, + "learning_rate": 0.00029308086088981335, + "loss": 4.962, + "mean_token_accuracy": 0.22039518356323243, + "num_tokens": 11028917.0, + "step": 4910 + }, + { + "entropy": 5.498329496383667, + "epoch": 5.3136830719307735, + "grad_norm": 1.0546875, + "learning_rate": 0.00029265329653876515, + "loss": 4.9503, + "mean_token_accuracy": 0.21752556413412094, + "num_tokens": 11040500.0, + "step": 4915 + }, + { + "entropy": 5.476529359817505, + "epoch": 5.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.0002922256680355965, + "loss": 4.8668, + "mean_token_accuracy": 0.2250487968325615, + "num_tokens": 11052173.0, + "step": 4920 + }, + { + "entropy": 5.542095422744751, + "epoch": 5.324499729583558, + "grad_norm": 1.109375, + "learning_rate": 0.00029179797693431046, + "loss": 4.8896, + "mean_token_accuracy": 0.22516080290079116, + "num_tokens": 11061917.0, + "step": 4925 + }, + { + "entropy": 5.450285196304321, + "epoch": 5.329908058409951, + "grad_norm": 1.0703125, + "learning_rate": 0.0002913702247891374, + "loss": 4.8752, + "mean_token_accuracy": 0.23229186683893205, + "num_tokens": 11072820.0, + "step": 4930 + }, + { + "entropy": 5.564850187301635, + "epoch": 5.335316387236344, + "grad_norm": 1.0625, + "learning_rate": 0.0002909424131545296, + "loss": 4.9642, + "mean_token_accuracy": 0.22445973008871078, + "num_tokens": 11083140.0, + "step": 4935 + }, + { + "entropy": 5.542190027236939, + "epoch": 5.340724716062737, + "grad_norm": 0.90234375, + "learning_rate": 0.00029051454358515553, + "loss": 4.9289, + "mean_token_accuracy": 0.22055180966854096, + "num_tokens": 11094314.0, + "step": 4940 + }, + { + "entropy": 5.50953254699707, + "epoch": 5.346133044889129, + "grad_norm": 0.92578125, + "learning_rate": 0.00029008661763589436, + "loss": 4.9733, + "mean_token_accuracy": 0.2225899413228035, + "num_tokens": 11106748.0, + "step": 4945 + }, + { + "entropy": 5.510439777374268, + "epoch": 5.351541373715522, + "grad_norm": 0.91796875, + "learning_rate": 0.0002896586368618297, + "loss": 4.9464, + "mean_token_accuracy": 0.22568726241588594, + "num_tokens": 11118702.0, + "step": 4950 + }, + { + "entropy": 5.525369310379029, + "epoch": 5.356949702541915, + "grad_norm": 0.96875, + "learning_rate": 0.00028923060281824483, + "loss": 4.9396, + "mean_token_accuracy": 0.21333917528390883, + "num_tokens": 11130782.0, + "step": 4955 + }, + { + "entropy": 5.4839788436889645, + "epoch": 5.3623580313683075, + "grad_norm": 1.015625, + "learning_rate": 0.0002888025170606165, + "loss": 4.9011, + "mean_token_accuracy": 0.22421319633722306, + "num_tokens": 11142536.0, + "step": 4960 + }, + { + "entropy": 5.483171844482422, + "epoch": 5.367766360194699, + "grad_norm": 1.0, + "learning_rate": 0.00028837438114460924, + "loss": 4.9031, + "mean_token_accuracy": 0.2182278573513031, + "num_tokens": 11154027.0, + "step": 4965 + }, + { + "entropy": 5.48946442604065, + "epoch": 5.373174689021092, + "grad_norm": 1.0625, + "learning_rate": 0.0002879461966260699, + "loss": 4.9259, + "mean_token_accuracy": 0.2160453200340271, + "num_tokens": 11164759.0, + "step": 4970 + }, + { + "entropy": 5.501074504852295, + "epoch": 5.378583017847485, + "grad_norm": 0.953125, + "learning_rate": 0.00028751796506102224, + "loss": 4.9456, + "mean_token_accuracy": 0.22141506671905517, + "num_tokens": 11176341.0, + "step": 4975 + }, + { + "entropy": 5.5393781661987305, + "epoch": 5.383991346673878, + "grad_norm": 0.95703125, + "learning_rate": 0.00028708968800566056, + "loss": 4.906, + "mean_token_accuracy": 0.22104442417621611, + "num_tokens": 11188958.0, + "step": 4980 + }, + { + "entropy": 5.5685571193695065, + "epoch": 5.38939967550027, + "grad_norm": 1.140625, + "learning_rate": 0.00028666136701634474, + "loss": 5.0001, + "mean_token_accuracy": 0.20960879027843476, + "num_tokens": 11200895.0, + "step": 4985 + }, + { + "entropy": 5.529350328445434, + "epoch": 5.394808004326663, + "grad_norm": 0.96875, + "learning_rate": 0.0002862330036495942, + "loss": 4.9108, + "mean_token_accuracy": 0.22896960824728013, + "num_tokens": 11211563.0, + "step": 4990 + }, + { + "entropy": 5.5777318477630615, + "epoch": 5.400216333153056, + "grad_norm": 0.9921875, + "learning_rate": 0.0002858045994620825, + "loss": 5.0099, + "mean_token_accuracy": 0.21429480612277985, + "num_tokens": 11223323.0, + "step": 4995 + }, + { + "entropy": 5.532574558258057, + "epoch": 5.405624661979449, + "grad_norm": 0.9375, + "learning_rate": 0.00028537615601063133, + "loss": 4.9088, + "mean_token_accuracy": 0.2173854023218155, + "num_tokens": 11235991.0, + "step": 5000 + }, + { + "epoch": 5.405624661979449, + "eval_entropy": 5.359868227351796, + "eval_loss": 5.847285270690918, + "eval_mean_token_accuracy": 0.18075780379162593, + "eval_num_tokens": 11235991.0, + "eval_runtime": 3.5358, + "eval_samples_per_second": 994.104, + "eval_steps_per_second": 124.44, + "step": 5000 + }, + { + "entropy": 5.455257225036621, + "epoch": 5.411032990805841, + "grad_norm": 0.9609375, + "learning_rate": 0.0002849476748522052, + "loss": 4.8879, + "mean_token_accuracy": 0.22323424369096756, + "num_tokens": 11247406.0, + "step": 5005 + }, + { + "entropy": 5.3663108348846436, + "epoch": 5.416441319632233, + "grad_norm": 0.89453125, + "learning_rate": 0.0002845191575439057, + "loss": 4.8489, + "mean_token_accuracy": 0.22015611827373505, + "num_tokens": 11259031.0, + "step": 5010 + }, + { + "entropy": 5.463020086288452, + "epoch": 5.421849648458626, + "grad_norm": 0.9609375, + "learning_rate": 0.0002840906056429658, + "loss": 4.9252, + "mean_token_accuracy": 0.2181644394993782, + "num_tokens": 11270321.0, + "step": 5015 + }, + { + "entropy": 5.51222939491272, + "epoch": 5.427257977285019, + "grad_norm": 1.0703125, + "learning_rate": 0.0002836620207067439, + "loss": 5.0229, + "mean_token_accuracy": 0.2076768919825554, + "num_tokens": 11282209.0, + "step": 5020 + }, + { + "entropy": 5.5796140193939205, + "epoch": 5.432666306111411, + "grad_norm": 1.1171875, + "learning_rate": 0.00028323340429271875, + "loss": 4.9472, + "mean_token_accuracy": 0.21594048887491227, + "num_tokens": 11292987.0, + "step": 5025 + }, + { + "entropy": 5.507422924041748, + "epoch": 5.438074634937804, + "grad_norm": 1.0390625, + "learning_rate": 0.0002828047579584833, + "loss": 4.9016, + "mean_token_accuracy": 0.22376736998558044, + "num_tokens": 11303197.0, + "step": 5030 + }, + { + "entropy": 5.413560152053833, + "epoch": 5.443482963764197, + "grad_norm": 0.98828125, + "learning_rate": 0.00028237608326173944, + "loss": 4.8308, + "mean_token_accuracy": 0.23067670911550522, + "num_tokens": 11315229.0, + "step": 5035 + }, + { + "entropy": 5.44630651473999, + "epoch": 5.44889129259059, + "grad_norm": 1.078125, + "learning_rate": 0.00028194738176029206, + "loss": 4.9124, + "mean_token_accuracy": 0.2220005840063095, + "num_tokens": 11326033.0, + "step": 5040 + }, + { + "entropy": 5.43988265991211, + "epoch": 5.4542996214169825, + "grad_norm": 1.0078125, + "learning_rate": 0.00028151865501204316, + "loss": 4.9213, + "mean_token_accuracy": 0.21385481357574462, + "num_tokens": 11335670.0, + "step": 5045 + }, + { + "entropy": 5.48417558670044, + "epoch": 5.4597079502433745, + "grad_norm": 0.91015625, + "learning_rate": 0.00028108990457498696, + "loss": 4.8722, + "mean_token_accuracy": 0.2302040845155716, + "num_tokens": 11346882.0, + "step": 5050 + }, + { + "entropy": 5.480646085739136, + "epoch": 5.465116279069767, + "grad_norm": 1.015625, + "learning_rate": 0.00028066113200720343, + "loss": 4.8288, + "mean_token_accuracy": 0.22758808583021164, + "num_tokens": 11358141.0, + "step": 5055 + }, + { + "entropy": 5.407720994949341, + "epoch": 5.47052460789616, + "grad_norm": 0.984375, + "learning_rate": 0.00028023233886685314, + "loss": 4.8753, + "mean_token_accuracy": 0.22024642527103425, + "num_tokens": 11368981.0, + "step": 5060 + }, + { + "entropy": 5.502127361297608, + "epoch": 5.475932936722553, + "grad_norm": 1.0234375, + "learning_rate": 0.0002798035267121713, + "loss": 5.0012, + "mean_token_accuracy": 0.21348655074834824, + "num_tokens": 11381613.0, + "step": 5065 + }, + { + "entropy": 5.569995927810669, + "epoch": 5.481341265548945, + "grad_norm": 1.046875, + "learning_rate": 0.0002793746971014623, + "loss": 4.9372, + "mean_token_accuracy": 0.22158569246530532, + "num_tokens": 11392321.0, + "step": 5070 + }, + { + "entropy": 5.4565346240997314, + "epoch": 5.486749594375338, + "grad_norm": 1.078125, + "learning_rate": 0.0002789458515930939, + "loss": 4.9292, + "mean_token_accuracy": 0.2208003059029579, + "num_tokens": 11403546.0, + "step": 5075 + }, + { + "entropy": 5.454629850387573, + "epoch": 5.492157923201731, + "grad_norm": 0.98046875, + "learning_rate": 0.00027851699174549164, + "loss": 4.8671, + "mean_token_accuracy": 0.22627684772014617, + "num_tokens": 11415167.0, + "step": 5080 + }, + { + "entropy": 5.518552207946778, + "epoch": 5.497566252028124, + "grad_norm": 1.0234375, + "learning_rate": 0.0002780881191171333, + "loss": 4.8769, + "mean_token_accuracy": 0.22364618480205536, + "num_tokens": 11426715.0, + "step": 5085 + }, + { + "entropy": 5.49597282409668, + "epoch": 5.502974580854516, + "grad_norm": 1.0078125, + "learning_rate": 0.00027765923526654304, + "loss": 4.8677, + "mean_token_accuracy": 0.22670321613550187, + "num_tokens": 11437760.0, + "step": 5090 + }, + { + "entropy": 5.492688322067261, + "epoch": 5.5083829096809085, + "grad_norm": 0.9765625, + "learning_rate": 0.00027723034175228554, + "loss": 4.9421, + "mean_token_accuracy": 0.22019703984260558, + "num_tokens": 11448329.0, + "step": 5095 + }, + { + "entropy": 5.431415700912476, + "epoch": 5.513791238507301, + "grad_norm": 1.046875, + "learning_rate": 0.000276801440132961, + "loss": 4.7698, + "mean_token_accuracy": 0.234079709649086, + "num_tokens": 11459173.0, + "step": 5100 + }, + { + "entropy": 5.4285736083984375, + "epoch": 5.519199567333694, + "grad_norm": 0.9921875, + "learning_rate": 0.0002763725319671989, + "loss": 4.8748, + "mean_token_accuracy": 0.22336506843566895, + "num_tokens": 11470232.0, + "step": 5105 + }, + { + "entropy": 5.375560235977173, + "epoch": 5.524607896160086, + "grad_norm": 1.0234375, + "learning_rate": 0.0002759436188136525, + "loss": 4.8556, + "mean_token_accuracy": 0.22446597516536712, + "num_tokens": 11481181.0, + "step": 5110 + }, + { + "entropy": 5.518925189971924, + "epoch": 5.530016224986479, + "grad_norm": 1.0, + "learning_rate": 0.00027551470223099306, + "loss": 4.9085, + "mean_token_accuracy": 0.2181531310081482, + "num_tokens": 11491772.0, + "step": 5115 + }, + { + "entropy": 5.5260766506195065, + "epoch": 5.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0002750857837779045, + "loss": 4.8638, + "mean_token_accuracy": 0.22381193935871124, + "num_tokens": 11503895.0, + "step": 5120 + }, + { + "entropy": 5.480987071990967, + "epoch": 5.540832882639265, + "grad_norm": 1.0390625, + "learning_rate": 0.0002746568650130775, + "loss": 4.889, + "mean_token_accuracy": 0.22760302275419236, + "num_tokens": 11514189.0, + "step": 5125 + }, + { + "entropy": 5.37455005645752, + "epoch": 5.546241211465657, + "grad_norm": 0.95703125, + "learning_rate": 0.0002742279474952039, + "loss": 4.9044, + "mean_token_accuracy": 0.22398550659418107, + "num_tokens": 11526142.0, + "step": 5130 + }, + { + "entropy": 5.507328224182129, + "epoch": 5.55164954029205, + "grad_norm": 1.0234375, + "learning_rate": 0.00027379903278297086, + "loss": 4.9312, + "mean_token_accuracy": 0.21721230298280716, + "num_tokens": 11537061.0, + "step": 5135 + }, + { + "entropy": 5.530687284469605, + "epoch": 5.5570578691184425, + "grad_norm": 1.0234375, + "learning_rate": 0.00027337012243505536, + "loss": 5.0297, + "mean_token_accuracy": 0.20581408888101577, + "num_tokens": 11547319.0, + "step": 5140 + }, + { + "entropy": 5.504242658615112, + "epoch": 5.562466197944835, + "grad_norm": 0.98828125, + "learning_rate": 0.00027294121801011887, + "loss": 4.9418, + "mean_token_accuracy": 0.22116187661886216, + "num_tokens": 11558766.0, + "step": 5145 + }, + { + "entropy": 5.4529502391815186, + "epoch": 5.567874526771227, + "grad_norm": 1.0, + "learning_rate": 0.00027251232106680084, + "loss": 4.8547, + "mean_token_accuracy": 0.2266584575176239, + "num_tokens": 11570039.0, + "step": 5150 + }, + { + "entropy": 5.399138593673706, + "epoch": 5.57328285559762, + "grad_norm": 1.0078125, + "learning_rate": 0.00027208343316371383, + "loss": 4.8922, + "mean_token_accuracy": 0.2278255820274353, + "num_tokens": 11581664.0, + "step": 5155 + }, + { + "entropy": 5.466609287261963, + "epoch": 5.578691184424013, + "grad_norm": 0.9296875, + "learning_rate": 0.0002716545558594373, + "loss": 4.9241, + "mean_token_accuracy": 0.2118991419672966, + "num_tokens": 11592689.0, + "step": 5160 + }, + { + "entropy": 5.508473634719849, + "epoch": 5.584099513250406, + "grad_norm": 0.99609375, + "learning_rate": 0.0002712256907125126, + "loss": 4.8443, + "mean_token_accuracy": 0.2241092950105667, + "num_tokens": 11604315.0, + "step": 5165 + }, + { + "entropy": 5.543499088287353, + "epoch": 5.589507842076799, + "grad_norm": 1.0703125, + "learning_rate": 0.0002707968392814366, + "loss": 4.9643, + "mean_token_accuracy": 0.22009238004684448, + "num_tokens": 11614510.0, + "step": 5170 + }, + { + "entropy": 5.469890308380127, + "epoch": 5.594916170903191, + "grad_norm": 0.97265625, + "learning_rate": 0.00027036800312465635, + "loss": 4.8773, + "mean_token_accuracy": 0.22867128401994705, + "num_tokens": 11625501.0, + "step": 5175 + }, + { + "entropy": 5.535786056518555, + "epoch": 5.600324499729584, + "grad_norm": 1.0546875, + "learning_rate": 0.0002699391838005634, + "loss": 4.9374, + "mean_token_accuracy": 0.22422817051410676, + "num_tokens": 11636841.0, + "step": 5180 + }, + { + "entropy": 5.418750333786011, + "epoch": 5.605732828555976, + "grad_norm": 1.0859375, + "learning_rate": 0.00026951038286748824, + "loss": 4.8465, + "mean_token_accuracy": 0.2297739565372467, + "num_tokens": 11647475.0, + "step": 5185 + }, + { + "entropy": 5.530784225463867, + "epoch": 5.611141157382368, + "grad_norm": 0.96875, + "learning_rate": 0.0002690816018836945, + "loss": 4.9507, + "mean_token_accuracy": 0.2173537626862526, + "num_tokens": 11658887.0, + "step": 5190 + }, + { + "entropy": 5.471008729934693, + "epoch": 5.616549486208761, + "grad_norm": 1.0, + "learning_rate": 0.0002686528424073731, + "loss": 5.0088, + "mean_token_accuracy": 0.21145847886800767, + "num_tokens": 11669658.0, + "step": 5195 + }, + { + "entropy": 5.535061264038086, + "epoch": 5.621957815035154, + "grad_norm": 0.953125, + "learning_rate": 0.00026822410599663704, + "loss": 4.9716, + "mean_token_accuracy": 0.21699988692998887, + "num_tokens": 11681792.0, + "step": 5200 + }, + { + "entropy": 5.509040117263794, + "epoch": 5.627366143861547, + "grad_norm": 1.078125, + "learning_rate": 0.00026779539420951554, + "loss": 4.9293, + "mean_token_accuracy": 0.21873082220554352, + "num_tokens": 11691903.0, + "step": 5205 + }, + { + "entropy": 5.532304048538208, + "epoch": 5.63277447268794, + "grad_norm": 1.0390625, + "learning_rate": 0.0002673667086039481, + "loss": 4.9355, + "mean_token_accuracy": 0.22825905084609985, + "num_tokens": 11703383.0, + "step": 5210 + }, + { + "entropy": 5.5031740188598635, + "epoch": 5.638182801514332, + "grad_norm": 1.03125, + "learning_rate": 0.0002669380507377792, + "loss": 4.9336, + "mean_token_accuracy": 0.22372952252626419, + "num_tokens": 11714721.0, + "step": 5215 + }, + { + "entropy": 5.449891853332519, + "epoch": 5.643591130340725, + "grad_norm": 1.0234375, + "learning_rate": 0.0002665094221687525, + "loss": 4.935, + "mean_token_accuracy": 0.21551574170589446, + "num_tokens": 11726016.0, + "step": 5220 + }, + { + "entropy": 5.413540506362915, + "epoch": 5.6489994591671175, + "grad_norm": 1.0234375, + "learning_rate": 0.0002660808244545054, + "loss": 4.7575, + "mean_token_accuracy": 0.23251993656158448, + "num_tokens": 11737589.0, + "step": 5225 + }, + { + "entropy": 5.4685218811035154, + "epoch": 5.6544077879935095, + "grad_norm": 0.91796875, + "learning_rate": 0.00026565225915256276, + "loss": 4.8658, + "mean_token_accuracy": 0.22948329597711564, + "num_tokens": 11747969.0, + "step": 5230 + }, + { + "entropy": 5.443226861953735, + "epoch": 5.659816116819902, + "grad_norm": 1.0625, + "learning_rate": 0.000265223727820332, + "loss": 4.836, + "mean_token_accuracy": 0.22504404336214065, + "num_tokens": 11759535.0, + "step": 5235 + }, + { + "entropy": 5.523590898513794, + "epoch": 5.665224445646295, + "grad_norm": 1.0390625, + "learning_rate": 0.0002647952320150969, + "loss": 4.9775, + "mean_token_accuracy": 0.21442292630672455, + "num_tokens": 11770863.0, + "step": 5240 + }, + { + "entropy": 5.485964727401734, + "epoch": 5.670632774472688, + "grad_norm": 1.015625, + "learning_rate": 0.0002643667732940122, + "loss": 4.9001, + "mean_token_accuracy": 0.216877081990242, + "num_tokens": 11782643.0, + "step": 5245 + }, + { + "entropy": 5.467176008224487, + "epoch": 5.676041103299081, + "grad_norm": 0.94921875, + "learning_rate": 0.00026393835321409796, + "loss": 4.933, + "mean_token_accuracy": 0.22458599954843522, + "num_tokens": 11794468.0, + "step": 5250 + }, + { + "entropy": 5.514464282989502, + "epoch": 5.681449432125473, + "grad_norm": 0.99609375, + "learning_rate": 0.00026350997333223375, + "loss": 4.8836, + "mean_token_accuracy": 0.23128425031900407, + "num_tokens": 11807051.0, + "step": 5255 + }, + { + "entropy": 5.432554149627686, + "epoch": 5.686857760951866, + "grad_norm": 1.046875, + "learning_rate": 0.00026308163520515293, + "loss": 4.9193, + "mean_token_accuracy": 0.21702346503734588, + "num_tokens": 11817067.0, + "step": 5260 + }, + { + "entropy": 5.428543901443481, + "epoch": 5.692266089778259, + "grad_norm": 0.9375, + "learning_rate": 0.00026265334038943735, + "loss": 4.919, + "mean_token_accuracy": 0.22408238500356675, + "num_tokens": 11828111.0, + "step": 5265 + }, + { + "entropy": 5.502649211883545, + "epoch": 5.6976744186046515, + "grad_norm": 0.98828125, + "learning_rate": 0.0002622250904415113, + "loss": 4.8822, + "mean_token_accuracy": 0.2273074984550476, + "num_tokens": 11838536.0, + "step": 5270 + }, + { + "entropy": 5.53525743484497, + "epoch": 5.7030827474310435, + "grad_norm": 1.0234375, + "learning_rate": 0.0002617968869176362, + "loss": 4.9228, + "mean_token_accuracy": 0.22227408438920976, + "num_tokens": 11848899.0, + "step": 5275 + }, + { + "entropy": 5.473860883712769, + "epoch": 5.708491076257436, + "grad_norm": 0.98046875, + "learning_rate": 0.0002613687313739044, + "loss": 4.9651, + "mean_token_accuracy": 0.22359169721603395, + "num_tokens": 11861023.0, + "step": 5280 + }, + { + "entropy": 5.43254508972168, + "epoch": 5.713899405083829, + "grad_norm": 1.015625, + "learning_rate": 0.0002609406253662344, + "loss": 4.9318, + "mean_token_accuracy": 0.21903841942548752, + "num_tokens": 11871953.0, + "step": 5285 + }, + { + "entropy": 5.501645612716675, + "epoch": 5.719307733910222, + "grad_norm": 1.1171875, + "learning_rate": 0.0002605125704503643, + "loss": 4.9505, + "mean_token_accuracy": 0.2237919017672539, + "num_tokens": 11882874.0, + "step": 5290 + }, + { + "entropy": 5.58112268447876, + "epoch": 5.724716062736614, + "grad_norm": 0.95703125, + "learning_rate": 0.0002600845681818467, + "loss": 4.8646, + "mean_token_accuracy": 0.22650408893823623, + "num_tokens": 11893431.0, + "step": 5295 + }, + { + "entropy": 5.454003143310547, + "epoch": 5.730124391563007, + "grad_norm": 0.9296875, + "learning_rate": 0.0002596566201160427, + "loss": 4.8851, + "mean_token_accuracy": 0.22219976037740707, + "num_tokens": 11905311.0, + "step": 5300 + }, + { + "entropy": 5.404032039642334, + "epoch": 5.7355327203894, + "grad_norm": 1.0078125, + "learning_rate": 0.00025922872780811664, + "loss": 4.9546, + "mean_token_accuracy": 0.21621623486280442, + "num_tokens": 11916342.0, + "step": 5305 + }, + { + "entropy": 5.492973470687867, + "epoch": 5.740941049215793, + "grad_norm": 1.046875, + "learning_rate": 0.00025880089281303027, + "loss": 4.9193, + "mean_token_accuracy": 0.21626884043216704, + "num_tokens": 11927485.0, + "step": 5310 + }, + { + "entropy": 5.476612329483032, + "epoch": 5.746349378042185, + "grad_norm": 1.015625, + "learning_rate": 0.00025837311668553683, + "loss": 4.8302, + "mean_token_accuracy": 0.2276885449886322, + "num_tokens": 11937968.0, + "step": 5315 + }, + { + "entropy": 5.44808611869812, + "epoch": 5.7517577068685775, + "grad_norm": 1.09375, + "learning_rate": 0.0002579454009801757, + "loss": 4.7927, + "mean_token_accuracy": 0.23528771847486496, + "num_tokens": 11947510.0, + "step": 5320 + }, + { + "entropy": 5.477059698104858, + "epoch": 5.75716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.0002575177472512669, + "loss": 4.9526, + "mean_token_accuracy": 0.2218560740351677, + "num_tokens": 11960002.0, + "step": 5325 + }, + { + "entropy": 5.444899559020996, + "epoch": 5.762574364521363, + "grad_norm": 0.9921875, + "learning_rate": 0.000257090157052905, + "loss": 4.8705, + "mean_token_accuracy": 0.21838984936475753, + "num_tokens": 11970895.0, + "step": 5330 + }, + { + "entropy": 5.459397077560425, + "epoch": 5.767982693347756, + "grad_norm": 1.015625, + "learning_rate": 0.00025666263193895375, + "loss": 4.888, + "mean_token_accuracy": 0.21968889981508255, + "num_tokens": 11982910.0, + "step": 5335 + }, + { + "entropy": 5.511087703704834, + "epoch": 5.773391022174148, + "grad_norm": 1.0546875, + "learning_rate": 0.00025623517346304027, + "loss": 4.9507, + "mean_token_accuracy": 0.21630610823631286, + "num_tokens": 11994066.0, + "step": 5340 + }, + { + "entropy": 5.47811861038208, + "epoch": 5.778799351000541, + "grad_norm": 0.96484375, + "learning_rate": 0.00025580778317855, + "loss": 4.8659, + "mean_token_accuracy": 0.22627412974834443, + "num_tokens": 12004821.0, + "step": 5345 + }, + { + "entropy": 5.475780200958252, + "epoch": 5.784207679826934, + "grad_norm": 1.0859375, + "learning_rate": 0.0002553804626386199, + "loss": 4.9451, + "mean_token_accuracy": 0.2223440647125244, + "num_tokens": 12014973.0, + "step": 5350 + }, + { + "entropy": 5.551906108856201, + "epoch": 5.789616008653326, + "grad_norm": 0.9453125, + "learning_rate": 0.0002549532133961339, + "loss": 5.0273, + "mean_token_accuracy": 0.2145695760846138, + "num_tokens": 12026528.0, + "step": 5355 + }, + { + "entropy": 5.607546472549439, + "epoch": 5.795024337479719, + "grad_norm": 1.0625, + "learning_rate": 0.00025452603700371675, + "loss": 5.0506, + "mean_token_accuracy": 0.21419217735528945, + "num_tokens": 12038733.0, + "step": 5360 + }, + { + "entropy": 5.5201372623443605, + "epoch": 5.800432666306111, + "grad_norm": 1.015625, + "learning_rate": 0.0002540989350137285, + "loss": 4.9722, + "mean_token_accuracy": 0.21627445071935653, + "num_tokens": 12049821.0, + "step": 5365 + }, + { + "entropy": 5.565732765197754, + "epoch": 5.805840995132504, + "grad_norm": 0.99609375, + "learning_rate": 0.00025367190897825873, + "loss": 4.9698, + "mean_token_accuracy": 0.21938712447881697, + "num_tokens": 12060982.0, + "step": 5370 + }, + { + "entropy": 5.489997673034668, + "epoch": 5.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 0.0002532449604491209, + "loss": 4.8542, + "mean_token_accuracy": 0.2305293619632721, + "num_tokens": 12070842.0, + "step": 5375 + }, + { + "entropy": 5.4013769149780275, + "epoch": 5.816657652785289, + "grad_norm": 1.0859375, + "learning_rate": 0.0002528180909778471, + "loss": 4.8389, + "mean_token_accuracy": 0.2326238349080086, + "num_tokens": 12080992.0, + "step": 5380 + }, + { + "entropy": 5.480729961395264, + "epoch": 5.822065981611682, + "grad_norm": 1.046875, + "learning_rate": 0.00025239130211568206, + "loss": 4.9151, + "mean_token_accuracy": 0.22242391854524612, + "num_tokens": 12091905.0, + "step": 5385 + }, + { + "entropy": 5.520739364624023, + "epoch": 5.827474310438075, + "grad_norm": 0.98828125, + "learning_rate": 0.00025196459541357725, + "loss": 4.817, + "mean_token_accuracy": 0.22727247029542924, + "num_tokens": 12101577.0, + "step": 5390 + }, + { + "entropy": 5.555675268173218, + "epoch": 5.832882639264467, + "grad_norm": 1.078125, + "learning_rate": 0.00025153797242218604, + "loss": 5.017, + "mean_token_accuracy": 0.21263125836849212, + "num_tokens": 12112593.0, + "step": 5395 + }, + { + "entropy": 5.465591239929199, + "epoch": 5.83829096809086, + "grad_norm": 1.0625, + "learning_rate": 0.00025111143469185715, + "loss": 4.8337, + "mean_token_accuracy": 0.22807640731334686, + "num_tokens": 12122947.0, + "step": 5400 + }, + { + "entropy": 5.38767294883728, + "epoch": 5.8436992969172525, + "grad_norm": 1.03125, + "learning_rate": 0.0002506849837726299, + "loss": 4.7973, + "mean_token_accuracy": 0.23990508764982224, + "num_tokens": 12133557.0, + "step": 5405 + }, + { + "entropy": 5.5033042430877686, + "epoch": 5.849107625743645, + "grad_norm": 0.9921875, + "learning_rate": 0.0002502586212142278, + "loss": 4.9525, + "mean_token_accuracy": 0.21751385182142258, + "num_tokens": 12144735.0, + "step": 5410 + }, + { + "entropy": 5.468432903289795, + "epoch": 5.854515954570038, + "grad_norm": 1.03125, + "learning_rate": 0.00024983234856605337, + "loss": 4.9072, + "mean_token_accuracy": 0.22422076314687728, + "num_tokens": 12155786.0, + "step": 5415 + }, + { + "entropy": 5.499530363082886, + "epoch": 5.85992428339643, + "grad_norm": 0.84375, + "learning_rate": 0.00024940616737718235, + "loss": 5.0033, + "mean_token_accuracy": 0.21500488370656967, + "num_tokens": 12168846.0, + "step": 5420 + }, + { + "entropy": 5.475531673431396, + "epoch": 5.865332612222823, + "grad_norm": 0.98828125, + "learning_rate": 0.0002489800791963583, + "loss": 4.8433, + "mean_token_accuracy": 0.21648556888103485, + "num_tokens": 12179743.0, + "step": 5425 + }, + { + "entropy": 5.5550652027130125, + "epoch": 5.870740941049216, + "grad_norm": 1.0546875, + "learning_rate": 0.00024855408557198657, + "loss": 4.9396, + "mean_token_accuracy": 0.2263997510075569, + "num_tokens": 12190754.0, + "step": 5430 + }, + { + "entropy": 5.522177076339721, + "epoch": 5.876149269875609, + "grad_norm": 1.0234375, + "learning_rate": 0.000248128188052129, + "loss": 4.926, + "mean_token_accuracy": 0.2201258659362793, + "num_tokens": 12201293.0, + "step": 5435 + }, + { + "entropy": 5.500701284408569, + "epoch": 5.881557598702001, + "grad_norm": 0.87890625, + "learning_rate": 0.00024770238818449804, + "loss": 4.9843, + "mean_token_accuracy": 0.22035838961601256, + "num_tokens": 12214361.0, + "step": 5440 + }, + { + "entropy": 5.56159987449646, + "epoch": 5.886965927528394, + "grad_norm": 1.0546875, + "learning_rate": 0.00024727668751645164, + "loss": 5.0753, + "mean_token_accuracy": 0.20683244466781617, + "num_tokens": 12226766.0, + "step": 5445 + }, + { + "entropy": 5.542806959152221, + "epoch": 5.8923742563547865, + "grad_norm": 1.1640625, + "learning_rate": 0.0002468510875949868, + "loss": 4.9784, + "mean_token_accuracy": 0.22004477828741073, + "num_tokens": 12237339.0, + "step": 5450 + }, + { + "entropy": 5.454771566390991, + "epoch": 5.897782585181179, + "grad_norm": 0.95703125, + "learning_rate": 0.00024642558996673474, + "loss": 4.8806, + "mean_token_accuracy": 0.233289235830307, + "num_tokens": 12248567.0, + "step": 5455 + }, + { + "entropy": 5.475730228424072, + "epoch": 5.903190914007571, + "grad_norm": 1.0546875, + "learning_rate": 0.00024600019617795465, + "loss": 4.8715, + "mean_token_accuracy": 0.22850371301174163, + "num_tokens": 12258968.0, + "step": 5460 + }, + { + "entropy": 5.529723405838013, + "epoch": 5.908599242833964, + "grad_norm": 0.94140625, + "learning_rate": 0.0002455749077745288, + "loss": 4.9315, + "mean_token_accuracy": 0.22943497598171234, + "num_tokens": 12271233.0, + "step": 5465 + }, + { + "entropy": 5.481137132644653, + "epoch": 5.914007571660357, + "grad_norm": 1.03125, + "learning_rate": 0.00024514972630195603, + "loss": 4.894, + "mean_token_accuracy": 0.21706456691026688, + "num_tokens": 12280634.0, + "step": 5470 + }, + { + "entropy": 5.46374282836914, + "epoch": 5.91941590048675, + "grad_norm": 0.9765625, + "learning_rate": 0.0002447246533053469, + "loss": 4.9344, + "mean_token_accuracy": 0.2250108987092972, + "num_tokens": 12292282.0, + "step": 5475 + }, + { + "entropy": 5.479931974411011, + "epoch": 5.924824229313142, + "grad_norm": 1.0703125, + "learning_rate": 0.00024429969032941756, + "loss": 4.9556, + "mean_token_accuracy": 0.2212103560566902, + "num_tokens": 12303940.0, + "step": 5480 + }, + { + "entropy": 5.509561538696289, + "epoch": 5.930232558139535, + "grad_norm": 1.1171875, + "learning_rate": 0.00024387483891848456, + "loss": 4.9408, + "mean_token_accuracy": 0.2256838709115982, + "num_tokens": 12315400.0, + "step": 5485 + }, + { + "entropy": 5.5094701766967775, + "epoch": 5.935640886965928, + "grad_norm": 0.91796875, + "learning_rate": 0.00024345010061645889, + "loss": 4.9519, + "mean_token_accuracy": 0.21615981161594391, + "num_tokens": 12327462.0, + "step": 5490 + }, + { + "entropy": 5.516644716262817, + "epoch": 5.9410492157923205, + "grad_norm": 0.9296875, + "learning_rate": 0.00024302547696684047, + "loss": 4.9017, + "mean_token_accuracy": 0.22320225536823274, + "num_tokens": 12338966.0, + "step": 5495 + }, + { + "entropy": 5.397993087768555, + "epoch": 5.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00024260096951271253, + "loss": 4.8006, + "mean_token_accuracy": 0.228230282664299, + "num_tokens": 12349663.0, + "step": 5500 + }, + { + "epoch": 5.9464575446187125, + "eval_entropy": 5.341046702861786, + "eval_loss": 5.824895858764648, + "eval_mean_token_accuracy": 0.18257011164995757, + "eval_num_tokens": 12349663.0, + "eval_runtime": 3.5324, + "eval_samples_per_second": 995.086, + "eval_steps_per_second": 124.563, + "step": 5500 + }, + { + "entropy": 5.416959285736084, + "epoch": 5.951865873445105, + "grad_norm": 0.890625, + "learning_rate": 0.00024217657979673634, + "loss": 4.8534, + "mean_token_accuracy": 0.22373966872692108, + "num_tokens": 12361304.0, + "step": 5505 + }, + { + "entropy": 5.374241685867309, + "epoch": 5.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.00024175230936114507, + "loss": 4.8172, + "mean_token_accuracy": 0.23078879565000535, + "num_tokens": 12372162.0, + "step": 5510 + }, + { + "entropy": 5.468687248229981, + "epoch": 5.962682531097891, + "grad_norm": 0.91015625, + "learning_rate": 0.0002413281597477384, + "loss": 4.8529, + "mean_token_accuracy": 0.22456154525279998, + "num_tokens": 12383916.0, + "step": 5515 + }, + { + "entropy": 5.549963569641113, + "epoch": 5.968090859924283, + "grad_norm": 1.0859375, + "learning_rate": 0.00024090413249787696, + "loss": 4.9632, + "mean_token_accuracy": 0.21773760467767717, + "num_tokens": 12394787.0, + "step": 5520 + }, + { + "entropy": 5.505368185043335, + "epoch": 5.973499188750676, + "grad_norm": 0.99609375, + "learning_rate": 0.0002404802291524768, + "loss": 4.8776, + "mean_token_accuracy": 0.23071094900369643, + "num_tokens": 12405905.0, + "step": 5525 + }, + { + "entropy": 5.4695710182189945, + "epoch": 5.978907517577069, + "grad_norm": 0.9140625, + "learning_rate": 0.00024005645125200375, + "loss": 4.9449, + "mean_token_accuracy": 0.2118888556957245, + "num_tokens": 12416785.0, + "step": 5530 + }, + { + "entropy": 5.4431023597717285, + "epoch": 5.984315846403462, + "grad_norm": 0.96484375, + "learning_rate": 0.0002396328003364675, + "loss": 4.8562, + "mean_token_accuracy": 0.22554307878017427, + "num_tokens": 12427900.0, + "step": 5535 + }, + { + "entropy": 5.566122770309448, + "epoch": 5.9897241752298545, + "grad_norm": 0.9765625, + "learning_rate": 0.00023920927794541665, + "loss": 4.9858, + "mean_token_accuracy": 0.22574359327554702, + "num_tokens": 12439823.0, + "step": 5540 + }, + { + "entropy": 5.481858730316162, + "epoch": 5.995132504056246, + "grad_norm": 0.97265625, + "learning_rate": 0.0002387858856179324, + "loss": 4.9084, + "mean_token_accuracy": 0.21990197598934175, + "num_tokens": 12450988.0, + "step": 5545 + }, + { + "entropy": 5.593845897250706, + "epoch": 6.0, + "grad_norm": 1.59375, + "learning_rate": 0.00023836262489262361, + "loss": 4.9818, + "mean_token_accuracy": 0.2241312480635113, + "num_tokens": 12461334.0, + "step": 5550 + }, + { + "entropy": 5.482817697525024, + "epoch": 6.005408328826393, + "grad_norm": 1.0234375, + "learning_rate": 0.00023793949730762049, + "loss": 4.711, + "mean_token_accuracy": 0.23801302611827851, + "num_tokens": 12473206.0, + "step": 5555 + }, + { + "entropy": 5.48074688911438, + "epoch": 6.010816657652786, + "grad_norm": 0.96484375, + "learning_rate": 0.00023751650440056982, + "loss": 4.8304, + "mean_token_accuracy": 0.22817761451005936, + "num_tokens": 12484247.0, + "step": 5560 + }, + { + "entropy": 5.4692436218261715, + "epoch": 6.016224986479178, + "grad_norm": 1.015625, + "learning_rate": 0.00023709364770862885, + "loss": 4.7426, + "mean_token_accuracy": 0.23947408199310302, + "num_tokens": 12495234.0, + "step": 5565 + }, + { + "entropy": 5.456657409667969, + "epoch": 6.0216333153055706, + "grad_norm": 1.1015625, + "learning_rate": 0.00023667092876845976, + "loss": 4.855, + "mean_token_accuracy": 0.2362171694636345, + "num_tokens": 12506516.0, + "step": 5570 + }, + { + "entropy": 5.474831008911133, + "epoch": 6.027041644131963, + "grad_norm": 1.046875, + "learning_rate": 0.0002362483491162239, + "loss": 4.7585, + "mean_token_accuracy": 0.23608235716819764, + "num_tokens": 12517238.0, + "step": 5575 + }, + { + "entropy": 5.505292367935181, + "epoch": 6.032449972958356, + "grad_norm": 1.0, + "learning_rate": 0.00023582591028757706, + "loss": 4.7658, + "mean_token_accuracy": 0.2349627658724785, + "num_tokens": 12527212.0, + "step": 5580 + }, + { + "entropy": 5.498833179473877, + "epoch": 6.037858301784748, + "grad_norm": 1.140625, + "learning_rate": 0.00023540361381766274, + "loss": 4.7521, + "mean_token_accuracy": 0.24202902466058732, + "num_tokens": 12537939.0, + "step": 5585 + }, + { + "entropy": 5.450468730926514, + "epoch": 6.043266630611141, + "grad_norm": 1.1015625, + "learning_rate": 0.0002349814612411073, + "loss": 4.7608, + "mean_token_accuracy": 0.2359851762652397, + "num_tokens": 12547987.0, + "step": 5590 + }, + { + "entropy": 5.448811483383179, + "epoch": 6.048674959437534, + "grad_norm": 1.078125, + "learning_rate": 0.00023455945409201411, + "loss": 4.7812, + "mean_token_accuracy": 0.22653527408838273, + "num_tokens": 12558505.0, + "step": 5595 + }, + { + "entropy": 5.464963436126709, + "epoch": 6.054083288263927, + "grad_norm": 0.94921875, + "learning_rate": 0.00023413759390395828, + "loss": 4.7156, + "mean_token_accuracy": 0.2361931696534157, + "num_tokens": 12569748.0, + "step": 5600 + }, + { + "entropy": 5.405935955047608, + "epoch": 6.059491617090319, + "grad_norm": 0.97265625, + "learning_rate": 0.0002337158822099807, + "loss": 4.6811, + "mean_token_accuracy": 0.23703676611185073, + "num_tokens": 12581420.0, + "step": 5605 + }, + { + "entropy": 5.496515464782715, + "epoch": 6.064899945916712, + "grad_norm": 0.97265625, + "learning_rate": 0.0002332943205425825, + "loss": 4.7871, + "mean_token_accuracy": 0.23721451163291932, + "num_tokens": 12593781.0, + "step": 5610 + }, + { + "entropy": 5.41494345664978, + "epoch": 6.0703082747431045, + "grad_norm": 0.96875, + "learning_rate": 0.00023287291043371978, + "loss": 4.7303, + "mean_token_accuracy": 0.23353902548551558, + "num_tokens": 12606264.0, + "step": 5615 + }, + { + "entropy": 5.530503511428833, + "epoch": 6.075716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.00023245165341479796, + "loss": 4.7879, + "mean_token_accuracy": 0.23578621298074723, + "num_tokens": 12617419.0, + "step": 5620 + }, + { + "entropy": 5.488958168029785, + "epoch": 6.081124932395889, + "grad_norm": 0.9921875, + "learning_rate": 0.00023203055101666593, + "loss": 4.7215, + "mean_token_accuracy": 0.23366791605949402, + "num_tokens": 12628628.0, + "step": 5625 + }, + { + "entropy": 5.430446004867553, + "epoch": 6.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 0.0002316096047696108, + "loss": 4.7062, + "mean_token_accuracy": 0.236600761115551, + "num_tokens": 12638375.0, + "step": 5630 + }, + { + "entropy": 5.397326183319092, + "epoch": 6.091941590048675, + "grad_norm": 1.0078125, + "learning_rate": 0.0002311888162033522, + "loss": 4.7394, + "mean_token_accuracy": 0.22856123596429825, + "num_tokens": 12649174.0, + "step": 5635 + }, + { + "entropy": 5.44256558418274, + "epoch": 6.097349918875068, + "grad_norm": 1.1171875, + "learning_rate": 0.00023076818684703682, + "loss": 4.699, + "mean_token_accuracy": 0.24027512669563295, + "num_tokens": 12659454.0, + "step": 5640 + }, + { + "entropy": 5.453388214111328, + "epoch": 6.10275824770146, + "grad_norm": 0.890625, + "learning_rate": 0.00023034771822923268, + "loss": 4.7424, + "mean_token_accuracy": 0.23804700821638108, + "num_tokens": 12672093.0, + "step": 5645 + }, + { + "entropy": 5.454080533981323, + "epoch": 6.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0002299274118779236, + "loss": 4.785, + "mean_token_accuracy": 0.2312723308801651, + "num_tokens": 12683628.0, + "step": 5650 + }, + { + "entropy": 5.4466057300567625, + "epoch": 6.113574905354246, + "grad_norm": 1.046875, + "learning_rate": 0.00022950726932050386, + "loss": 4.7334, + "mean_token_accuracy": 0.23570535182952881, + "num_tokens": 12694726.0, + "step": 5655 + }, + { + "entropy": 5.5058012962341305, + "epoch": 6.1189832341806385, + "grad_norm": 1.0234375, + "learning_rate": 0.00022908729208377267, + "loss": 4.7932, + "mean_token_accuracy": 0.23238887786865234, + "num_tokens": 12705292.0, + "step": 5660 + }, + { + "entropy": 5.484908533096314, + "epoch": 6.1243915630070305, + "grad_norm": 0.96484375, + "learning_rate": 0.00022866748169392815, + "loss": 4.7849, + "mean_token_accuracy": 0.23078074902296067, + "num_tokens": 12717721.0, + "step": 5665 + }, + { + "entropy": 5.498049545288086, + "epoch": 6.129799891833423, + "grad_norm": 1.1171875, + "learning_rate": 0.00022824783967656208, + "loss": 4.7845, + "mean_token_accuracy": 0.2278717815876007, + "num_tokens": 12728360.0, + "step": 5670 + }, + { + "entropy": 5.479033756256103, + "epoch": 6.135208220659816, + "grad_norm": 0.99609375, + "learning_rate": 0.00022782836755665475, + "loss": 4.8063, + "mean_token_accuracy": 0.23036560267210007, + "num_tokens": 12739771.0, + "step": 5675 + }, + { + "entropy": 5.458578395843506, + "epoch": 6.140616549486209, + "grad_norm": 0.9921875, + "learning_rate": 0.00022740906685856876, + "loss": 4.7555, + "mean_token_accuracy": 0.23326312750577927, + "num_tokens": 12750024.0, + "step": 5680 + }, + { + "entropy": 5.433383131027222, + "epoch": 6.146024878312601, + "grad_norm": 1.03125, + "learning_rate": 0.00022698993910604383, + "loss": 4.7345, + "mean_token_accuracy": 0.23391510397195817, + "num_tokens": 12761160.0, + "step": 5685 + }, + { + "entropy": 5.495377540588379, + "epoch": 6.151433207138994, + "grad_norm": 1.0, + "learning_rate": 0.000226570985822191, + "loss": 4.7313, + "mean_token_accuracy": 0.24146672785282136, + "num_tokens": 12773043.0, + "step": 5690 + }, + { + "entropy": 5.40164361000061, + "epoch": 6.156841535965387, + "grad_norm": 0.984375, + "learning_rate": 0.00022615220852948765, + "loss": 4.7302, + "mean_token_accuracy": 0.23376860320568085, + "num_tokens": 12783479.0, + "step": 5695 + }, + { + "entropy": 5.515926313400269, + "epoch": 6.16224986479178, + "grad_norm": 0.93359375, + "learning_rate": 0.00022573360874977145, + "loss": 4.8247, + "mean_token_accuracy": 0.23175337463617324, + "num_tokens": 12794889.0, + "step": 5700 + }, + { + "entropy": 5.480621385574341, + "epoch": 6.167658193618172, + "grad_norm": 1.0625, + "learning_rate": 0.00022531518800423484, + "loss": 4.7982, + "mean_token_accuracy": 0.22605834305286407, + "num_tokens": 12806161.0, + "step": 5705 + }, + { + "entropy": 5.527550983428955, + "epoch": 6.173066522444564, + "grad_norm": 0.9609375, + "learning_rate": 0.0002248969478134199, + "loss": 4.8218, + "mean_token_accuracy": 0.23102053105831147, + "num_tokens": 12817829.0, + "step": 5710 + }, + { + "entropy": 5.474001789093018, + "epoch": 6.178474851270957, + "grad_norm": 1.15625, + "learning_rate": 0.00022447888969721232, + "loss": 4.8695, + "mean_token_accuracy": 0.22121107429265977, + "num_tokens": 12828212.0, + "step": 5715 + }, + { + "entropy": 5.518413400650024, + "epoch": 6.18388318009735, + "grad_norm": 1.109375, + "learning_rate": 0.00022406101517483636, + "loss": 4.7935, + "mean_token_accuracy": 0.23179168701171876, + "num_tokens": 12840058.0, + "step": 5720 + }, + { + "entropy": 5.461467647552491, + "epoch": 6.189291508923742, + "grad_norm": 0.88671875, + "learning_rate": 0.00022364332576484897, + "loss": 4.7839, + "mean_token_accuracy": 0.230883426964283, + "num_tokens": 12852833.0, + "step": 5725 + }, + { + "entropy": 5.48510422706604, + "epoch": 6.194699837750135, + "grad_norm": 1.0078125, + "learning_rate": 0.0002232258229851345, + "loss": 4.7751, + "mean_token_accuracy": 0.23518833070993422, + "num_tokens": 12863487.0, + "step": 5730 + }, + { + "entropy": 5.440191650390625, + "epoch": 6.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00022280850835289885, + "loss": 4.6923, + "mean_token_accuracy": 0.23732944577932358, + "num_tokens": 12873952.0, + "step": 5735 + }, + { + "entropy": 5.431076765060425, + "epoch": 6.205516495402921, + "grad_norm": 1.140625, + "learning_rate": 0.00022239138338466452, + "loss": 4.7793, + "mean_token_accuracy": 0.23101767003536225, + "num_tokens": 12884462.0, + "step": 5740 + }, + { + "entropy": 5.446973085403442, + "epoch": 6.210924824229313, + "grad_norm": 1.078125, + "learning_rate": 0.00022197444959626451, + "loss": 4.727, + "mean_token_accuracy": 0.23917102962732315, + "num_tokens": 12894996.0, + "step": 5745 + }, + { + "entropy": 5.430508470535278, + "epoch": 6.2163331530557056, + "grad_norm": 1.0625, + "learning_rate": 0.00022155770850283723, + "loss": 4.7103, + "mean_token_accuracy": 0.2357731357216835, + "num_tokens": 12906256.0, + "step": 5750 + }, + { + "entropy": 5.462933015823364, + "epoch": 6.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.00022114116161882065, + "loss": 4.8337, + "mean_token_accuracy": 0.2271495670080185, + "num_tokens": 12918738.0, + "step": 5755 + }, + { + "entropy": 5.434539031982422, + "epoch": 6.227149810708491, + "grad_norm": 1.0, + "learning_rate": 0.00022072481045794733, + "loss": 4.7419, + "mean_token_accuracy": 0.2339697703719139, + "num_tokens": 12929918.0, + "step": 5760 + }, + { + "entropy": 5.537877035140991, + "epoch": 6.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.00022030865653323823, + "loss": 4.8251, + "mean_token_accuracy": 0.23042406886816025, + "num_tokens": 12941427.0, + "step": 5765 + }, + { + "entropy": 5.459821033477783, + "epoch": 6.237966468361276, + "grad_norm": 0.9921875, + "learning_rate": 0.0002198927013569977, + "loss": 4.755, + "mean_token_accuracy": 0.23522372245788575, + "num_tokens": 12952889.0, + "step": 5770 + }, + { + "entropy": 5.45594425201416, + "epoch": 6.243374797187669, + "grad_norm": 1.0859375, + "learning_rate": 0.0002194769464408076, + "loss": 4.7728, + "mean_token_accuracy": 0.23804499059915543, + "num_tokens": 12962928.0, + "step": 5775 + }, + { + "entropy": 5.472302389144898, + "epoch": 6.248783126014062, + "grad_norm": 1.1484375, + "learning_rate": 0.0002190613932955226, + "loss": 4.7282, + "mean_token_accuracy": 0.24171511083841324, + "num_tokens": 12972901.0, + "step": 5780 + }, + { + "entropy": 5.48187289237976, + "epoch": 6.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00021864604343126365, + "loss": 4.8139, + "mean_token_accuracy": 0.23290316462516786, + "num_tokens": 12985296.0, + "step": 5785 + }, + { + "entropy": 5.538161706924439, + "epoch": 6.259599783666847, + "grad_norm": 0.9921875, + "learning_rate": 0.00021823089835741312, + "loss": 4.881, + "mean_token_accuracy": 0.22790266275405885, + "num_tokens": 12997069.0, + "step": 5790 + }, + { + "entropy": 5.485204887390137, + "epoch": 6.2650081124932395, + "grad_norm": 1.046875, + "learning_rate": 0.000217815959582609, + "loss": 4.7595, + "mean_token_accuracy": 0.23940668255090714, + "num_tokens": 13007147.0, + "step": 5795 + }, + { + "entropy": 5.438343048095703, + "epoch": 6.270416441319632, + "grad_norm": 0.984375, + "learning_rate": 0.00021740122861473992, + "loss": 4.7979, + "mean_token_accuracy": 0.23777374029159545, + "num_tokens": 13019084.0, + "step": 5800 + }, + { + "entropy": 5.5151256084442135, + "epoch": 6.275824770146025, + "grad_norm": 0.93359375, + "learning_rate": 0.00021698670696093932, + "loss": 4.8021, + "mean_token_accuracy": 0.23370311856269838, + "num_tokens": 13030751.0, + "step": 5805 + }, + { + "entropy": 5.4750467300415036, + "epoch": 6.281233098972417, + "grad_norm": 0.98046875, + "learning_rate": 0.00021657239612757963, + "loss": 4.7488, + "mean_token_accuracy": 0.23250595033168792, + "num_tokens": 13042731.0, + "step": 5810 + }, + { + "entropy": 5.464777565002441, + "epoch": 6.28664142779881, + "grad_norm": 1.0546875, + "learning_rate": 0.00021615829762026734, + "loss": 4.7205, + "mean_token_accuracy": 0.23873378783464433, + "num_tokens": 13053442.0, + "step": 5815 + }, + { + "entropy": 5.484056568145752, + "epoch": 6.292049756625203, + "grad_norm": 1.125, + "learning_rate": 0.00021574441294383752, + "loss": 4.7793, + "mean_token_accuracy": 0.2335501179099083, + "num_tokens": 13063911.0, + "step": 5820 + }, + { + "entropy": 5.4915848731994625, + "epoch": 6.297458085451596, + "grad_norm": 0.91796875, + "learning_rate": 0.00021533074360234806, + "loss": 4.8487, + "mean_token_accuracy": 0.22842135578393935, + "num_tokens": 13075887.0, + "step": 5825 + }, + { + "entropy": 5.432464218139648, + "epoch": 6.302866414277988, + "grad_norm": 1.0859375, + "learning_rate": 0.00021491729109907414, + "loss": 4.7111, + "mean_token_accuracy": 0.24290824681520462, + "num_tokens": 13087320.0, + "step": 5830 + }, + { + "entropy": 5.4360270500183105, + "epoch": 6.308274743104381, + "grad_norm": 1.0078125, + "learning_rate": 0.00021450405693650333, + "loss": 4.7483, + "mean_token_accuracy": 0.2368444621562958, + "num_tokens": 13099078.0, + "step": 5835 + }, + { + "entropy": 5.488501501083374, + "epoch": 6.3136830719307735, + "grad_norm": 1.0078125, + "learning_rate": 0.00021409104261632932, + "loss": 4.8415, + "mean_token_accuracy": 0.23506940752267838, + "num_tokens": 13111909.0, + "step": 5840 + }, + { + "entropy": 5.4188000679016115, + "epoch": 6.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.00021367824963944727, + "loss": 4.736, + "mean_token_accuracy": 0.2346210688352585, + "num_tokens": 13123297.0, + "step": 5845 + }, + { + "entropy": 5.407528495788574, + "epoch": 6.324499729583558, + "grad_norm": 1.0078125, + "learning_rate": 0.00021326567950594766, + "loss": 4.7807, + "mean_token_accuracy": 0.23231735378503798, + "num_tokens": 13133959.0, + "step": 5850 + }, + { + "entropy": 5.401265668869018, + "epoch": 6.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.0002128533337151114, + "loss": 4.6422, + "mean_token_accuracy": 0.24409369081258775, + "num_tokens": 13144858.0, + "step": 5855 + }, + { + "entropy": 5.4279073715209964, + "epoch": 6.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.0002124412137654041, + "loss": 4.7921, + "mean_token_accuracy": 0.2318548381328583, + "num_tokens": 13156437.0, + "step": 5860 + }, + { + "entropy": 5.446533298492431, + "epoch": 6.340724716062737, + "grad_norm": 1.046875, + "learning_rate": 0.00021202932115447056, + "loss": 4.7419, + "mean_token_accuracy": 0.24057282507419586, + "num_tokens": 13166860.0, + "step": 5865 + }, + { + "entropy": 5.4611639976501465, + "epoch": 6.346133044889129, + "grad_norm": 1.078125, + "learning_rate": 0.00021161765737912937, + "loss": 4.8228, + "mean_token_accuracy": 0.23280464708805085, + "num_tokens": 13178563.0, + "step": 5870 + }, + { + "entropy": 5.496692562103272, + "epoch": 6.351541373715522, + "grad_norm": 1.0703125, + "learning_rate": 0.00021120622393536775, + "loss": 4.7578, + "mean_token_accuracy": 0.22650425583124162, + "num_tokens": 13189915.0, + "step": 5875 + }, + { + "entropy": 5.509976005554199, + "epoch": 6.356949702541915, + "grad_norm": 1.125, + "learning_rate": 0.00021079502231833585, + "loss": 4.7769, + "mean_token_accuracy": 0.2329890564084053, + "num_tokens": 13201767.0, + "step": 5880 + }, + { + "entropy": 5.455395841598511, + "epoch": 6.3623580313683075, + "grad_norm": 1.1484375, + "learning_rate": 0.00021038405402234116, + "loss": 4.7817, + "mean_token_accuracy": 0.23451150208711624, + "num_tokens": 13212265.0, + "step": 5885 + }, + { + "entropy": 5.424297761917114, + "epoch": 6.367766360194699, + "grad_norm": 0.94140625, + "learning_rate": 0.0002099733205408435, + "loss": 4.8023, + "mean_token_accuracy": 0.23045464754104614, + "num_tokens": 13223503.0, + "step": 5890 + }, + { + "entropy": 5.491450643539428, + "epoch": 6.373174689021092, + "grad_norm": 1.1015625, + "learning_rate": 0.0002095628233664492, + "loss": 4.7904, + "mean_token_accuracy": 0.22897710502147675, + "num_tokens": 13234797.0, + "step": 5895 + }, + { + "entropy": 5.440606880187988, + "epoch": 6.378583017847485, + "grad_norm": 1.046875, + "learning_rate": 0.0002091525639909061, + "loss": 4.7548, + "mean_token_accuracy": 0.2377723589539528, + "num_tokens": 13246421.0, + "step": 5900 + }, + { + "entropy": 5.4440460205078125, + "epoch": 6.383991346673878, + "grad_norm": 0.96875, + "learning_rate": 0.00020874254390509757, + "loss": 4.7624, + "mean_token_accuracy": 0.23135251700878143, + "num_tokens": 13256747.0, + "step": 5905 + }, + { + "entropy": 5.482359123229981, + "epoch": 6.38939967550027, + "grad_norm": 1.1484375, + "learning_rate": 0.00020833276459903766, + "loss": 4.74, + "mean_token_accuracy": 0.23761427402496338, + "num_tokens": 13267620.0, + "step": 5910 + }, + { + "entropy": 5.496868753433228, + "epoch": 6.394808004326663, + "grad_norm": 1.03125, + "learning_rate": 0.0002079232275618651, + "loss": 4.7261, + "mean_token_accuracy": 0.23711277842521666, + "num_tokens": 13277818.0, + "step": 5915 + }, + { + "entropy": 5.354647064208985, + "epoch": 6.400216333153056, + "grad_norm": 1.0546875, + "learning_rate": 0.0002075139342818388, + "loss": 4.6986, + "mean_token_accuracy": 0.2438313126564026, + "num_tokens": 13289905.0, + "step": 5920 + }, + { + "entropy": 5.426370525360108, + "epoch": 6.405624661979449, + "grad_norm": 0.92578125, + "learning_rate": 0.00020710488624633118, + "loss": 4.6988, + "mean_token_accuracy": 0.23948602080345155, + "num_tokens": 13302465.0, + "step": 5925 + }, + { + "entropy": 5.454558897018432, + "epoch": 6.411032990805841, + "grad_norm": 1.078125, + "learning_rate": 0.00020669608494182384, + "loss": 4.7905, + "mean_token_accuracy": 0.2280614882707596, + "num_tokens": 13314366.0, + "step": 5930 + }, + { + "entropy": 5.339557838439942, + "epoch": 6.416441319632233, + "grad_norm": 1.0078125, + "learning_rate": 0.00020628753185390164, + "loss": 4.639, + "mean_token_accuracy": 0.24252013713121415, + "num_tokens": 13324981.0, + "step": 5935 + }, + { + "entropy": 5.456610202789307, + "epoch": 6.421849648458626, + "grad_norm": 1.015625, + "learning_rate": 0.0002058792284672475, + "loss": 4.7473, + "mean_token_accuracy": 0.234878046810627, + "num_tokens": 13335705.0, + "step": 5940 + }, + { + "entropy": 5.3233154296875, + "epoch": 6.427257977285019, + "grad_norm": 1.015625, + "learning_rate": 0.0002054711762656369, + "loss": 4.6921, + "mean_token_accuracy": 0.23819227814674376, + "num_tokens": 13346515.0, + "step": 5945 + }, + { + "entropy": 5.402464580535889, + "epoch": 6.432666306111411, + "grad_norm": 1.0078125, + "learning_rate": 0.00020506337673193236, + "loss": 4.7412, + "mean_token_accuracy": 0.23467027246952057, + "num_tokens": 13357780.0, + "step": 5950 + }, + { + "entropy": 5.4471968650817875, + "epoch": 6.438074634937804, + "grad_norm": 0.98828125, + "learning_rate": 0.00020465583134807836, + "loss": 4.7435, + "mean_token_accuracy": 0.24032192826271057, + "num_tokens": 13369549.0, + "step": 5955 + }, + { + "entropy": 5.520180511474609, + "epoch": 6.443482963764197, + "grad_norm": 1.0390625, + "learning_rate": 0.00020424854159509587, + "loss": 4.8087, + "mean_token_accuracy": 0.2298721730709076, + "num_tokens": 13380259.0, + "step": 5960 + }, + { + "entropy": 5.495610284805298, + "epoch": 6.44889129259059, + "grad_norm": 1.171875, + "learning_rate": 0.0002038415089530767, + "loss": 4.8364, + "mean_token_accuracy": 0.2270108386874199, + "num_tokens": 13392049.0, + "step": 5965 + }, + { + "entropy": 5.467788505554199, + "epoch": 6.4542996214169825, + "grad_norm": 1.09375, + "learning_rate": 0.00020343473490117846, + "loss": 4.7871, + "mean_token_accuracy": 0.22844729274511338, + "num_tokens": 13403874.0, + "step": 5970 + }, + { + "entropy": 5.432657051086426, + "epoch": 6.4597079502433745, + "grad_norm": 1.1171875, + "learning_rate": 0.00020302822091761884, + "loss": 4.7664, + "mean_token_accuracy": 0.2360194906592369, + "num_tokens": 13415194.0, + "step": 5975 + }, + { + "entropy": 5.463835048675537, + "epoch": 6.465116279069767, + "grad_norm": 1.203125, + "learning_rate": 0.00020262196847967091, + "loss": 4.7913, + "mean_token_accuracy": 0.23191041946411134, + "num_tokens": 13425159.0, + "step": 5980 + }, + { + "entropy": 5.454825782775879, + "epoch": 6.47052460789616, + "grad_norm": 0.98828125, + "learning_rate": 0.00020221597906365667, + "loss": 4.7798, + "mean_token_accuracy": 0.23226822465658187, + "num_tokens": 13437279.0, + "step": 5985 + }, + { + "entropy": 5.478639888763428, + "epoch": 6.475932936722553, + "grad_norm": 0.95703125, + "learning_rate": 0.00020181025414494285, + "loss": 4.7898, + "mean_token_accuracy": 0.2360480844974518, + "num_tokens": 13449170.0, + "step": 5990 + }, + { + "entropy": 5.514584064483643, + "epoch": 6.481341265548945, + "grad_norm": 1.0546875, + "learning_rate": 0.0002014047951979344, + "loss": 4.8438, + "mean_token_accuracy": 0.22370945364236833, + "num_tokens": 13460216.0, + "step": 5995 + }, + { + "entropy": 5.464205169677735, + "epoch": 6.486749594375338, + "grad_norm": 1.0625, + "learning_rate": 0.0002009996036960704, + "loss": 4.7955, + "mean_token_accuracy": 0.2337394878268242, + "num_tokens": 13470468.0, + "step": 6000 + }, + { + "epoch": 6.486749594375338, + "eval_entropy": 5.356367090615359, + "eval_loss": 5.836918830871582, + "eval_mean_token_accuracy": 0.18327153573997995, + "eval_num_tokens": 13470468.0, + "eval_runtime": 3.5524, + "eval_samples_per_second": 989.467, + "eval_steps_per_second": 123.859, + "step": 6000 + }, + { + "entropy": 5.4838872909545895, + "epoch": 6.492157923201731, + "grad_norm": 0.9765625, + "learning_rate": 0.00020059468111181757, + "loss": 4.8355, + "mean_token_accuracy": 0.2325873091816902, + "num_tokens": 13482690.0, + "step": 6005 + }, + { + "entropy": 5.377634334564209, + "epoch": 6.497566252028124, + "grad_norm": 1.0, + "learning_rate": 0.00020019002891666555, + "loss": 4.7039, + "mean_token_accuracy": 0.24070921093225478, + "num_tokens": 13494806.0, + "step": 6010 + }, + { + "entropy": 5.371237802505493, + "epoch": 6.502974580854516, + "grad_norm": 1.03125, + "learning_rate": 0.00019978564858112125, + "loss": 4.7015, + "mean_token_accuracy": 0.24223154485225679, + "num_tokens": 13506968.0, + "step": 6015 + }, + { + "entropy": 5.492704820632935, + "epoch": 6.5083829096809085, + "grad_norm": 1.03125, + "learning_rate": 0.00019938154157470378, + "loss": 4.8381, + "mean_token_accuracy": 0.2364162266254425, + "num_tokens": 13518817.0, + "step": 6020 + }, + { + "entropy": 5.4859953880310055, + "epoch": 6.513791238507301, + "grad_norm": 1.0859375, + "learning_rate": 0.00019897770936593912, + "loss": 4.7452, + "mean_token_accuracy": 0.24185479283332825, + "num_tokens": 13529054.0, + "step": 6025 + }, + { + "entropy": 5.4339841365814205, + "epoch": 6.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.0001985741534223543, + "loss": 4.7583, + "mean_token_accuracy": 0.23412617295980453, + "num_tokens": 13540462.0, + "step": 6030 + }, + { + "entropy": 5.528876304626465, + "epoch": 6.524607896160086, + "grad_norm": 1.1640625, + "learning_rate": 0.00019817087521047244, + "loss": 4.8767, + "mean_token_accuracy": 0.22286273241043092, + "num_tokens": 13551949.0, + "step": 6035 + }, + { + "entropy": 5.508295059204102, + "epoch": 6.530016224986479, + "grad_norm": 1.0078125, + "learning_rate": 0.00019776787619580767, + "loss": 4.8043, + "mean_token_accuracy": 0.23924179673194884, + "num_tokens": 13562567.0, + "step": 6040 + }, + { + "entropy": 5.43859338760376, + "epoch": 6.535424553812872, + "grad_norm": 1.1484375, + "learning_rate": 0.0001973651578428593, + "loss": 4.7628, + "mean_token_accuracy": 0.23885137885808944, + "num_tokens": 13573696.0, + "step": 6045 + }, + { + "entropy": 5.490781259536743, + "epoch": 6.540832882639265, + "grad_norm": 1.046875, + "learning_rate": 0.00019696272161510663, + "loss": 4.8612, + "mean_token_accuracy": 0.22521820068359374, + "num_tokens": 13585941.0, + "step": 6050 + }, + { + "entropy": 5.4247150897979735, + "epoch": 6.546241211465657, + "grad_norm": 1.09375, + "learning_rate": 0.00019656056897500408, + "loss": 4.6436, + "mean_token_accuracy": 0.2483742877840996, + "num_tokens": 13597665.0, + "step": 6055 + }, + { + "entropy": 5.382246017456055, + "epoch": 6.55164954029205, + "grad_norm": 1.15625, + "learning_rate": 0.00019615870138397506, + "loss": 4.7428, + "mean_token_accuracy": 0.229461170732975, + "num_tokens": 13608732.0, + "step": 6060 + }, + { + "entropy": 5.559137582778931, + "epoch": 6.5570578691184425, + "grad_norm": 1.1328125, + "learning_rate": 0.0001957571203024075, + "loss": 4.8794, + "mean_token_accuracy": 0.2277083858847618, + "num_tokens": 13620710.0, + "step": 6065 + }, + { + "entropy": 5.4016365051269535, + "epoch": 6.562466197944835, + "grad_norm": 1.0234375, + "learning_rate": 0.00019535582718964773, + "loss": 4.7, + "mean_token_accuracy": 0.22991207093000413, + "num_tokens": 13632157.0, + "step": 6070 + }, + { + "entropy": 5.468547010421753, + "epoch": 6.567874526771227, + "grad_norm": 1.078125, + "learning_rate": 0.00019495482350399612, + "loss": 4.721, + "mean_token_accuracy": 0.2484972819685936, + "num_tokens": 13642833.0, + "step": 6075 + }, + { + "entropy": 5.477743625640869, + "epoch": 6.57328285559762, + "grad_norm": 1.0703125, + "learning_rate": 0.0001945541107027009, + "loss": 4.8397, + "mean_token_accuracy": 0.23110663294792175, + "num_tokens": 13654985.0, + "step": 6080 + }, + { + "entropy": 5.4450866222381595, + "epoch": 6.578691184424013, + "grad_norm": 1.046875, + "learning_rate": 0.0001941536902419533, + "loss": 4.785, + "mean_token_accuracy": 0.23091002255678178, + "num_tokens": 13666180.0, + "step": 6085 + }, + { + "entropy": 5.426376247406006, + "epoch": 6.584099513250406, + "grad_norm": 0.97265625, + "learning_rate": 0.00019375356357688206, + "loss": 4.7357, + "mean_token_accuracy": 0.24122271835803985, + "num_tokens": 13677993.0, + "step": 6090 + }, + { + "entropy": 5.533717823028565, + "epoch": 6.589507842076799, + "grad_norm": 1.203125, + "learning_rate": 0.00019335373216154862, + "loss": 4.8881, + "mean_token_accuracy": 0.23069773763418197, + "num_tokens": 13687427.0, + "step": 6095 + }, + { + "entropy": 5.422270774841309, + "epoch": 6.594916170903191, + "grad_norm": 1.1171875, + "learning_rate": 0.00019295419744894116, + "loss": 4.7115, + "mean_token_accuracy": 0.24273773580789565, + "num_tokens": 13698255.0, + "step": 6100 + }, + { + "entropy": 5.492586517333985, + "epoch": 6.600324499729584, + "grad_norm": 0.98828125, + "learning_rate": 0.00019255496089096985, + "loss": 4.8158, + "mean_token_accuracy": 0.22930402904748917, + "num_tokens": 13710471.0, + "step": 6105 + }, + { + "entropy": 5.522595310211182, + "epoch": 6.605732828555976, + "grad_norm": 1.0390625, + "learning_rate": 0.00019215602393846104, + "loss": 4.9235, + "mean_token_accuracy": 0.227778759598732, + "num_tokens": 13721605.0, + "step": 6110 + }, + { + "entropy": 5.461326646804809, + "epoch": 6.611141157382368, + "grad_norm": 1.0703125, + "learning_rate": 0.00019175738804115279, + "loss": 4.7891, + "mean_token_accuracy": 0.2319536179304123, + "num_tokens": 13732639.0, + "step": 6115 + }, + { + "entropy": 5.454809093475342, + "epoch": 6.616549486208761, + "grad_norm": 1.09375, + "learning_rate": 0.00019135905464768882, + "loss": 4.7584, + "mean_token_accuracy": 0.23282596617937087, + "num_tokens": 13743644.0, + "step": 6120 + }, + { + "entropy": 5.429327869415284, + "epoch": 6.621957815035154, + "grad_norm": 0.99609375, + "learning_rate": 0.00019096102520561344, + "loss": 4.6881, + "mean_token_accuracy": 0.24907640665769576, + "num_tokens": 13754887.0, + "step": 6125 + }, + { + "entropy": 5.459971714019775, + "epoch": 6.627366143861547, + "grad_norm": 1.125, + "learning_rate": 0.00019056330116136666, + "loss": 4.8665, + "mean_token_accuracy": 0.23227984756231307, + "num_tokens": 13766267.0, + "step": 6130 + }, + { + "entropy": 5.479209947586059, + "epoch": 6.63277447268794, + "grad_norm": 1.078125, + "learning_rate": 0.00019016588396027862, + "loss": 4.785, + "mean_token_accuracy": 0.22960527539253234, + "num_tokens": 13776532.0, + "step": 6135 + }, + { + "entropy": 5.446014642715454, + "epoch": 6.638182801514332, + "grad_norm": 1.0546875, + "learning_rate": 0.00018976877504656438, + "loss": 4.7252, + "mean_token_accuracy": 0.23457733541727066, + "num_tokens": 13787511.0, + "step": 6140 + }, + { + "entropy": 5.418573427200317, + "epoch": 6.643591130340725, + "grad_norm": 1.015625, + "learning_rate": 0.0001893719758633185, + "loss": 4.7603, + "mean_token_accuracy": 0.23951076716184616, + "num_tokens": 13799264.0, + "step": 6145 + }, + { + "entropy": 5.492339086532593, + "epoch": 6.6489994591671175, + "grad_norm": 1.0546875, + "learning_rate": 0.00018897548785251018, + "loss": 4.8451, + "mean_token_accuracy": 0.22612449377775193, + "num_tokens": 13810271.0, + "step": 6150 + }, + { + "entropy": 5.461274480819702, + "epoch": 6.6544077879935095, + "grad_norm": 1.1328125, + "learning_rate": 0.0001885793124549779, + "loss": 4.7764, + "mean_token_accuracy": 0.23858335763216018, + "num_tokens": 13820980.0, + "step": 6155 + }, + { + "entropy": 5.525525903701782, + "epoch": 6.659816116819902, + "grad_norm": 1.0390625, + "learning_rate": 0.00018818345111042383, + "loss": 4.9345, + "mean_token_accuracy": 0.2248729422688484, + "num_tokens": 13832522.0, + "step": 6160 + }, + { + "entropy": 5.425912666320801, + "epoch": 6.665224445646295, + "grad_norm": 1.1328125, + "learning_rate": 0.00018778790525740907, + "loss": 4.7193, + "mean_token_accuracy": 0.2379765972495079, + "num_tokens": 13844453.0, + "step": 6165 + }, + { + "entropy": 5.52116117477417, + "epoch": 6.670632774472688, + "grad_norm": 0.9375, + "learning_rate": 0.00018739267633334806, + "loss": 4.8558, + "mean_token_accuracy": 0.22124128192663192, + "num_tokens": 13856776.0, + "step": 6170 + }, + { + "entropy": 5.443723726272583, + "epoch": 6.676041103299081, + "grad_norm": 0.98828125, + "learning_rate": 0.00018699776577450378, + "loss": 4.7637, + "mean_token_accuracy": 0.2337685525417328, + "num_tokens": 13868050.0, + "step": 6175 + }, + { + "entropy": 5.492089128494262, + "epoch": 6.681449432125473, + "grad_norm": 1.0078125, + "learning_rate": 0.00018660317501598212, + "loss": 4.8518, + "mean_token_accuracy": 0.22990886569023133, + "num_tokens": 13879866.0, + "step": 6180 + }, + { + "entropy": 5.48423171043396, + "epoch": 6.686857760951866, + "grad_norm": 0.91796875, + "learning_rate": 0.0001862089054917266, + "loss": 4.7604, + "mean_token_accuracy": 0.22882692217826844, + "num_tokens": 13891782.0, + "step": 6185 + }, + { + "entropy": 5.454492902755737, + "epoch": 6.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.0001858149586345137, + "loss": 4.8486, + "mean_token_accuracy": 0.2267652705311775, + "num_tokens": 13903587.0, + "step": 6190 + }, + { + "entropy": 5.487734699249268, + "epoch": 6.6976744186046515, + "grad_norm": 1.1171875, + "learning_rate": 0.00018542133587594735, + "loss": 4.7559, + "mean_token_accuracy": 0.23566682040691375, + "num_tokens": 13914921.0, + "step": 6195 + }, + { + "entropy": 5.510404586791992, + "epoch": 6.7030827474310435, + "grad_norm": 1.1171875, + "learning_rate": 0.00018502803864645334, + "loss": 4.7447, + "mean_token_accuracy": 0.23118012845516206, + "num_tokens": 13925412.0, + "step": 6200 + }, + { + "entropy": 5.485953426361084, + "epoch": 6.708491076257436, + "grad_norm": 1.03125, + "learning_rate": 0.00018463506837527484, + "loss": 4.7566, + "mean_token_accuracy": 0.23713926672935487, + "num_tokens": 13935783.0, + "step": 6205 + }, + { + "entropy": 5.3922570705413815, + "epoch": 6.713899405083829, + "grad_norm": 1.2421875, + "learning_rate": 0.00018424242649046663, + "loss": 4.7659, + "mean_token_accuracy": 0.23707763850688934, + "num_tokens": 13945233.0, + "step": 6210 + }, + { + "entropy": 5.48021879196167, + "epoch": 6.719307733910222, + "grad_norm": 1.046875, + "learning_rate": 0.00018385011441889037, + "loss": 4.7698, + "mean_token_accuracy": 0.2360626772046089, + "num_tokens": 13955411.0, + "step": 6215 + }, + { + "entropy": 5.523493337631225, + "epoch": 6.724716062736614, + "grad_norm": 1.0390625, + "learning_rate": 0.00018345813358620894, + "loss": 4.9065, + "mean_token_accuracy": 0.2244351848959923, + "num_tokens": 13966607.0, + "step": 6220 + }, + { + "entropy": 5.546255588531494, + "epoch": 6.730124391563007, + "grad_norm": 0.9921875, + "learning_rate": 0.0001830664854168816, + "loss": 4.8721, + "mean_token_accuracy": 0.2342979833483696, + "num_tokens": 13978122.0, + "step": 6225 + }, + { + "entropy": 5.48574800491333, + "epoch": 6.7355327203894, + "grad_norm": 1.046875, + "learning_rate": 0.00018267517133415862, + "loss": 4.7914, + "mean_token_accuracy": 0.2378652423620224, + "num_tokens": 13989301.0, + "step": 6230 + }, + { + "entropy": 5.593584823608398, + "epoch": 6.740941049215793, + "grad_norm": 1.0625, + "learning_rate": 0.00018228419276007646, + "loss": 4.8879, + "mean_token_accuracy": 0.22455106675624847, + "num_tokens": 14000674.0, + "step": 6235 + }, + { + "entropy": 5.466882848739624, + "epoch": 6.746349378042185, + "grad_norm": 1.171875, + "learning_rate": 0.00018189355111545208, + "loss": 4.7649, + "mean_token_accuracy": 0.22919233441352843, + "num_tokens": 14012884.0, + "step": 6240 + }, + { + "entropy": 5.408292770385742, + "epoch": 6.7517577068685775, + "grad_norm": 1.0546875, + "learning_rate": 0.0001815032478198781, + "loss": 4.7689, + "mean_token_accuracy": 0.22624011039733888, + "num_tokens": 14023624.0, + "step": 6245 + }, + { + "entropy": 5.501367807388306, + "epoch": 6.75716603569497, + "grad_norm": 1.0390625, + "learning_rate": 0.00018111328429171747, + "loss": 4.8435, + "mean_token_accuracy": 0.22636697590351104, + "num_tokens": 14034873.0, + "step": 6250 + }, + { + "entropy": 5.493204069137573, + "epoch": 6.762574364521363, + "grad_norm": 1.0859375, + "learning_rate": 0.00018072366194809886, + "loss": 4.7605, + "mean_token_accuracy": 0.2378583535552025, + "num_tokens": 14045707.0, + "step": 6255 + }, + { + "entropy": 5.450195169448852, + "epoch": 6.767982693347756, + "grad_norm": 1.0546875, + "learning_rate": 0.00018033438220491055, + "loss": 4.8147, + "mean_token_accuracy": 0.24106226861476898, + "num_tokens": 14056774.0, + "step": 6260 + }, + { + "entropy": 5.395016431808472, + "epoch": 6.773391022174148, + "grad_norm": 1.1328125, + "learning_rate": 0.000179945446476796, + "loss": 4.6921, + "mean_token_accuracy": 0.24216643571853638, + "num_tokens": 14067358.0, + "step": 6265 + }, + { + "entropy": 5.455972051620483, + "epoch": 6.778799351000541, + "grad_norm": 1.0625, + "learning_rate": 0.00017955685617714867, + "loss": 4.7687, + "mean_token_accuracy": 0.23320888876914977, + "num_tokens": 14078336.0, + "step": 6270 + }, + { + "entropy": 5.525402450561524, + "epoch": 6.784207679826934, + "grad_norm": 0.98046875, + "learning_rate": 0.0001791686127181066, + "loss": 4.9202, + "mean_token_accuracy": 0.22177284806966782, + "num_tokens": 14091700.0, + "step": 6275 + }, + { + "entropy": 5.496983194351197, + "epoch": 6.789616008653326, + "grad_norm": 0.92578125, + "learning_rate": 0.00017878071751054736, + "loss": 4.837, + "mean_token_accuracy": 0.22447920441627503, + "num_tokens": 14103322.0, + "step": 6280 + }, + { + "entropy": 5.5157805442810055, + "epoch": 6.795024337479719, + "grad_norm": 1.09375, + "learning_rate": 0.00017839317196408305, + "loss": 4.8589, + "mean_token_accuracy": 0.2351175755262375, + "num_tokens": 14114758.0, + "step": 6285 + }, + { + "entropy": 5.3984763622283936, + "epoch": 6.800432666306111, + "grad_norm": 1.0625, + "learning_rate": 0.00017800597748705494, + "loss": 4.6811, + "mean_token_accuracy": 0.2468650996685028, + "num_tokens": 14124935.0, + "step": 6290 + }, + { + "entropy": 5.423747539520264, + "epoch": 6.805840995132504, + "grad_norm": 1.0, + "learning_rate": 0.0001776191354865289, + "loss": 4.7441, + "mean_token_accuracy": 0.24243067800998688, + "num_tokens": 14136102.0, + "step": 6295 + }, + { + "entropy": 5.47675724029541, + "epoch": 6.811249323958897, + "grad_norm": 1.0546875, + "learning_rate": 0.00017723264736828952, + "loss": 4.7482, + "mean_token_accuracy": 0.24305145889520646, + "num_tokens": 14147042.0, + "step": 6300 + }, + { + "entropy": 5.3783485889434814, + "epoch": 6.816657652785289, + "grad_norm": 1.140625, + "learning_rate": 0.00017684651453683554, + "loss": 4.6729, + "mean_token_accuracy": 0.24017125219106675, + "num_tokens": 14158045.0, + "step": 6305 + }, + { + "entropy": 5.419600963592529, + "epoch": 6.822065981611682, + "grad_norm": 1.125, + "learning_rate": 0.00017646073839537458, + "loss": 4.7921, + "mean_token_accuracy": 0.23383526057004927, + "num_tokens": 14169815.0, + "step": 6310 + }, + { + "entropy": 5.400470495223999, + "epoch": 6.827474310438075, + "grad_norm": 1.140625, + "learning_rate": 0.00017607532034581797, + "loss": 4.753, + "mean_token_accuracy": 0.22974225133657455, + "num_tokens": 14179965.0, + "step": 6315 + }, + { + "entropy": 5.536269664764404, + "epoch": 6.832882639264467, + "grad_norm": 1.1015625, + "learning_rate": 0.00017569026178877584, + "loss": 4.8555, + "mean_token_accuracy": 0.23882761746644973, + "num_tokens": 14191142.0, + "step": 6320 + }, + { + "entropy": 5.507011890411377, + "epoch": 6.83829096809086, + "grad_norm": 1.0390625, + "learning_rate": 0.0001753055641235519, + "loss": 4.7463, + "mean_token_accuracy": 0.2407160997390747, + "num_tokens": 14201765.0, + "step": 6325 + }, + { + "entropy": 5.463215494155884, + "epoch": 6.8436992969172525, + "grad_norm": 1.109375, + "learning_rate": 0.00017492122874813824, + "loss": 4.802, + "mean_token_accuracy": 0.23131725937128067, + "num_tokens": 14211995.0, + "step": 6330 + }, + { + "entropy": 5.5310859203338625, + "epoch": 6.849107625743645, + "grad_norm": 1.015625, + "learning_rate": 0.0001745372570592107, + "loss": 4.9147, + "mean_token_accuracy": 0.21638796478509903, + "num_tokens": 14225488.0, + "step": 6335 + }, + { + "entropy": 5.4645874977111815, + "epoch": 6.854515954570038, + "grad_norm": 1.0546875, + "learning_rate": 0.00017415365045212312, + "loss": 4.7541, + "mean_token_accuracy": 0.23150826692581178, + "num_tokens": 14237459.0, + "step": 6340 + }, + { + "entropy": 5.497331428527832, + "epoch": 6.85992428339643, + "grad_norm": 1.0625, + "learning_rate": 0.00017377041032090278, + "loss": 4.8308, + "mean_token_accuracy": 0.22778917849063873, + "num_tokens": 14248136.0, + "step": 6345 + }, + { + "entropy": 5.493479537963867, + "epoch": 6.865332612222823, + "grad_norm": 1.078125, + "learning_rate": 0.00017338753805824536, + "loss": 4.8375, + "mean_token_accuracy": 0.22441824078559874, + "num_tokens": 14260239.0, + "step": 6350 + }, + { + "entropy": 5.397213077545166, + "epoch": 6.870740941049216, + "grad_norm": 0.93359375, + "learning_rate": 0.00017300503505550939, + "loss": 4.7386, + "mean_token_accuracy": 0.23439123779535292, + "num_tokens": 14271825.0, + "step": 6355 + }, + { + "entropy": 5.371894598007202, + "epoch": 6.876149269875609, + "grad_norm": 1.0546875, + "learning_rate": 0.00017262290270271175, + "loss": 4.6615, + "mean_token_accuracy": 0.24698663353919983, + "num_tokens": 14282517.0, + "step": 6360 + }, + { + "entropy": 5.514883232116699, + "epoch": 6.881557598702001, + "grad_norm": 1.09375, + "learning_rate": 0.00017224114238852234, + "loss": 4.8437, + "mean_token_accuracy": 0.23700363636016847, + "num_tokens": 14293548.0, + "step": 6365 + }, + { + "entropy": 5.458508491516113, + "epoch": 6.886965927528394, + "grad_norm": 0.99609375, + "learning_rate": 0.0001718597555002588, + "loss": 4.8109, + "mean_token_accuracy": 0.2287731185555458, + "num_tokens": 14305782.0, + "step": 6370 + }, + { + "entropy": 5.464990663528442, + "epoch": 6.8923742563547865, + "grad_norm": 1.015625, + "learning_rate": 0.00017147874342388227, + "loss": 4.7446, + "mean_token_accuracy": 0.23635595589876174, + "num_tokens": 14315968.0, + "step": 6375 + }, + { + "entropy": 5.484697961807251, + "epoch": 6.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0001710981075439913, + "loss": 4.7885, + "mean_token_accuracy": 0.23122970163822174, + "num_tokens": 14327579.0, + "step": 6380 + }, + { + "entropy": 5.556122732162476, + "epoch": 6.903190914007571, + "grad_norm": 1.0390625, + "learning_rate": 0.00017071784924381766, + "loss": 4.8536, + "mean_token_accuracy": 0.22923520505428313, + "num_tokens": 14338620.0, + "step": 6385 + }, + { + "entropy": 5.435343933105469, + "epoch": 6.908599242833964, + "grad_norm": 1.078125, + "learning_rate": 0.00017033796990522081, + "loss": 4.736, + "mean_token_accuracy": 0.23136261701583863, + "num_tokens": 14348638.0, + "step": 6390 + }, + { + "entropy": 5.469294881820678, + "epoch": 6.914007571660357, + "grad_norm": 1.109375, + "learning_rate": 0.00016995847090868322, + "loss": 4.8066, + "mean_token_accuracy": 0.23570748418569565, + "num_tokens": 14359253.0, + "step": 6395 + }, + { + "entropy": 5.488160896301269, + "epoch": 6.91941590048675, + "grad_norm": 1.0703125, + "learning_rate": 0.00016957935363330506, + "loss": 4.7846, + "mean_token_accuracy": 0.23263452798128129, + "num_tokens": 14370659.0, + "step": 6400 + }, + { + "entropy": 5.467180585861206, + "epoch": 6.924824229313142, + "grad_norm": 1.125, + "learning_rate": 0.00016920061945679951, + "loss": 4.8172, + "mean_token_accuracy": 0.22805383503437043, + "num_tokens": 14381136.0, + "step": 6405 + }, + { + "entropy": 5.463050317764282, + "epoch": 6.930232558139535, + "grad_norm": 0.99609375, + "learning_rate": 0.0001688222697554872, + "loss": 4.8262, + "mean_token_accuracy": 0.22429136484861373, + "num_tokens": 14392789.0, + "step": 6410 + }, + { + "entropy": 5.463587474822998, + "epoch": 6.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.000168444305904292, + "loss": 4.7404, + "mean_token_accuracy": 0.23504639863967897, + "num_tokens": 14402808.0, + "step": 6415 + }, + { + "entropy": 5.518123960494995, + "epoch": 6.9410492157923205, + "grad_norm": 1.046875, + "learning_rate": 0.00016806672927673552, + "loss": 4.8328, + "mean_token_accuracy": 0.22986545860767366, + "num_tokens": 14413961.0, + "step": 6420 + }, + { + "entropy": 5.479937028884888, + "epoch": 6.9464575446187125, + "grad_norm": 1.15625, + "learning_rate": 0.00016768954124493188, + "loss": 4.7478, + "mean_token_accuracy": 0.2352260708808899, + "num_tokens": 14424416.0, + "step": 6425 + }, + { + "entropy": 5.5164111137390135, + "epoch": 6.951865873445105, + "grad_norm": 1.125, + "learning_rate": 0.00016731274317958333, + "loss": 4.8971, + "mean_token_accuracy": 0.22941209524869918, + "num_tokens": 14435771.0, + "step": 6430 + }, + { + "entropy": 5.4186872959136965, + "epoch": 6.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.0001669363364499749, + "loss": 4.73, + "mean_token_accuracy": 0.23911819905042647, + "num_tokens": 14447106.0, + "step": 6435 + }, + { + "entropy": 5.442362308502197, + "epoch": 6.962682531097891, + "grad_norm": 1.03125, + "learning_rate": 0.00016656032242396958, + "loss": 4.8122, + "mean_token_accuracy": 0.2302314579486847, + "num_tokens": 14458698.0, + "step": 6440 + }, + { + "entropy": 5.453445291519165, + "epoch": 6.968090859924283, + "grad_norm": 1.078125, + "learning_rate": 0.00016618470246800322, + "loss": 4.7455, + "mean_token_accuracy": 0.23800296932458878, + "num_tokens": 14469440.0, + "step": 6445 + }, + { + "entropy": 5.490810489654541, + "epoch": 6.973499188750676, + "grad_norm": 1.1015625, + "learning_rate": 0.00016580947794707937, + "loss": 4.8024, + "mean_token_accuracy": 0.24103218615055083, + "num_tokens": 14480256.0, + "step": 6450 + }, + { + "entropy": 5.470514965057373, + "epoch": 6.978907517577069, + "grad_norm": 1.046875, + "learning_rate": 0.00016543465022476512, + "loss": 4.8481, + "mean_token_accuracy": 0.23317314237356185, + "num_tokens": 14492347.0, + "step": 6455 + }, + { + "entropy": 5.454502725601197, + "epoch": 6.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0001650602206631852, + "loss": 4.7853, + "mean_token_accuracy": 0.22942974418401718, + "num_tokens": 14503492.0, + "step": 6460 + }, + { + "entropy": 5.506963491439819, + "epoch": 6.9897241752298545, + "grad_norm": 1.09375, + "learning_rate": 0.00016468619062301739, + "loss": 4.9144, + "mean_token_accuracy": 0.2240392178297043, + "num_tokens": 14515843.0, + "step": 6465 + }, + { + "entropy": 5.422661304473877, + "epoch": 6.995132504056246, + "grad_norm": 1.1171875, + "learning_rate": 0.0001643125614634877, + "loss": 4.7668, + "mean_token_accuracy": 0.22867323458194733, + "num_tokens": 14526733.0, + "step": 6470 + }, + { + "entropy": 5.484320746527778, + "epoch": 7.0, + "grad_norm": 2.09375, + "learning_rate": 0.0001639393345423656, + "loss": 4.9156, + "mean_token_accuracy": 0.22375796569718254, + "num_tokens": 14538223.0, + "step": 6475 + }, + { + "entropy": 5.473077964782715, + "epoch": 7.005408328826393, + "grad_norm": 0.9921875, + "learning_rate": 0.00016356651121595832, + "loss": 4.6896, + "mean_token_accuracy": 0.23437674343585968, + "num_tokens": 14549388.0, + "step": 6480 + }, + { + "entropy": 5.507199287414551, + "epoch": 7.010816657652786, + "grad_norm": 1.078125, + "learning_rate": 0.0001631940928391068, + "loss": 4.7129, + "mean_token_accuracy": 0.23249671310186387, + "num_tokens": 14561300.0, + "step": 6485 + }, + { + "entropy": 5.418299865722656, + "epoch": 7.016224986479178, + "grad_norm": 1.1328125, + "learning_rate": 0.00016282208076518032, + "loss": 4.6235, + "mean_token_accuracy": 0.24409482777118682, + "num_tokens": 14573169.0, + "step": 6490 + }, + { + "entropy": 5.460235691070556, + "epoch": 7.0216333153055706, + "grad_norm": 1.09375, + "learning_rate": 0.00016245047634607155, + "loss": 4.7435, + "mean_token_accuracy": 0.23163942545652388, + "num_tokens": 14585035.0, + "step": 6495 + }, + { + "entropy": 5.408029985427857, + "epoch": 7.027041644131963, + "grad_norm": 1.15625, + "learning_rate": 0.0001620792809321919, + "loss": 4.6479, + "mean_token_accuracy": 0.25236437320709226, + "num_tokens": 14596184.0, + "step": 6500 + }, + { + "epoch": 7.027041644131963, + "eval_entropy": 5.3447701345790515, + "eval_loss": 5.831712245941162, + "eval_mean_token_accuracy": 0.18428871013562786, + "eval_num_tokens": 14596184.0, + "eval_runtime": 3.5434, + "eval_samples_per_second": 991.978, + "eval_steps_per_second": 124.174, + "step": 6500 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 3383706014760960.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-6500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-7000/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..15d3046 --- /dev/null +++ b/checkpoint-7000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:54c06c16de3b2594ef8e97c7c89ab4a1bdee34d7263f9d452b853a807e82e5f9 +size 78179408 diff --git a/checkpoint-7000/rng_state.pth b/checkpoint-7000/rng_state.pth new file mode 100644 index 0000000..bf328ff --- /dev/null +++ b/checkpoint-7000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c169b9757aee6066b4cc6c93a9066706b68e2701556cb0d0d142199c449adce2 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-7000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-7000/trainer_state.json b/checkpoint-7000/trainer_state.json new file mode 100644 index 0000000..0d0ea0f --- /dev/null +++ b/checkpoint-7000/trainer_state.json @@ -0,0 +1,14188 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 7.567874526771227, + "eval_steps": 500, + "global_step": 7000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + }, + { + "entropy": 5.5260412216186525, + "epoch": 4.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0003273583644789772, + "loss": 5.0416, + "mean_token_accuracy": 0.2119097203016281, + "num_tokens": 10116420.0, + "step": 4505 + }, + { + "entropy": 5.480229425430298, + "epoch": 4.876149269875609, + "grad_norm": 0.984375, + "learning_rate": 0.00032694112553039795, + "loss": 5.0407, + "mean_token_accuracy": 0.20997347682714462, + "num_tokens": 10127289.0, + "step": 4510 + }, + { + "entropy": 5.582333183288574, + "epoch": 4.881557598702001, + "grad_norm": 0.89453125, + "learning_rate": 0.0003265236978276484, + "loss": 5.1776, + "mean_token_accuracy": 0.2014921173453331, + "num_tokens": 10139216.0, + "step": 4515 + }, + { + "entropy": 5.586625242233277, + "epoch": 4.886965927528394, + "grad_norm": 0.9609375, + "learning_rate": 0.00032610608288766185, + "loss": 5.0455, + "mean_token_accuracy": 0.22018371075391768, + "num_tokens": 10150010.0, + "step": 4520 + }, + { + "entropy": 5.507440090179443, + "epoch": 4.8923742563547865, + "grad_norm": 0.93359375, + "learning_rate": 0.00032568828222805216, + "loss": 5.0416, + "mean_token_accuracy": 0.21397803723812103, + "num_tokens": 10161317.0, + "step": 4525 + }, + { + "entropy": 5.520569133758545, + "epoch": 4.897782585181179, + "grad_norm": 1.0390625, + "learning_rate": 0.0003252702973671075, + "loss": 5.0784, + "mean_token_accuracy": 0.22154383063316346, + "num_tokens": 10172681.0, + "step": 4530 + }, + { + "entropy": 5.564612579345703, + "epoch": 4.903190914007571, + "grad_norm": 0.9375, + "learning_rate": 0.00032485212982378615, + "loss": 5.0628, + "mean_token_accuracy": 0.21105246245861053, + "num_tokens": 10184755.0, + "step": 4535 + }, + { + "entropy": 5.513889312744141, + "epoch": 4.908599242833964, + "grad_norm": 1.015625, + "learning_rate": 0.0003244337811177098, + "loss": 5.0479, + "mean_token_accuracy": 0.21932805627584456, + "num_tokens": 10195252.0, + "step": 4540 + }, + { + "entropy": 5.543384790420532, + "epoch": 4.914007571660357, + "grad_norm": 0.97265625, + "learning_rate": 0.0003240152527691586, + "loss": 5.152, + "mean_token_accuracy": 0.1962687239050865, + "num_tokens": 10207660.0, + "step": 4545 + }, + { + "entropy": 5.5311463356018065, + "epoch": 4.91941590048675, + "grad_norm": 0.94140625, + "learning_rate": 0.00032359654629906555, + "loss": 5.0906, + "mean_token_accuracy": 0.21332904547452927, + "num_tokens": 10218154.0, + "step": 4550 + }, + { + "entropy": 5.496583652496338, + "epoch": 4.924824229313142, + "grad_norm": 0.92578125, + "learning_rate": 0.00032317766322901106, + "loss": 5.0363, + "mean_token_accuracy": 0.2050163671374321, + "num_tokens": 10229624.0, + "step": 4555 + }, + { + "entropy": 5.5351176261901855, + "epoch": 4.930232558139535, + "grad_norm": 0.97265625, + "learning_rate": 0.000322758605081217, + "loss": 5.0029, + "mean_token_accuracy": 0.2171091064810753, + "num_tokens": 10240338.0, + "step": 4560 + }, + { + "entropy": 5.489692735671997, + "epoch": 4.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.00032233937337854167, + "loss": 5.0781, + "mean_token_accuracy": 0.21066401302814483, + "num_tokens": 10250721.0, + "step": 4565 + }, + { + "entropy": 5.483132600784302, + "epoch": 4.9410492157923205, + "grad_norm": 0.85546875, + "learning_rate": 0.0003219199696444741, + "loss": 5.1115, + "mean_token_accuracy": 0.20521238595247268, + "num_tokens": 10262596.0, + "step": 4570 + }, + { + "entropy": 5.630878591537476, + "epoch": 4.9464575446187125, + "grad_norm": 0.9375, + "learning_rate": 0.00032150039540312843, + "loss": 5.2161, + "mean_token_accuracy": 0.20218149423599244, + "num_tokens": 10275043.0, + "step": 4575 + }, + { + "entropy": 5.597415924072266, + "epoch": 4.951865873445105, + "grad_norm": 0.86328125, + "learning_rate": 0.00032108065217923836, + "loss": 5.1768, + "mean_token_accuracy": 0.20507008731365203, + "num_tokens": 10286593.0, + "step": 4580 + }, + { + "entropy": 5.684569835662842, + "epoch": 4.957274202271498, + "grad_norm": 0.91796875, + "learning_rate": 0.00032066074149815184, + "loss": 5.1852, + "mean_token_accuracy": 0.20786730647087098, + "num_tokens": 10297459.0, + "step": 4585 + }, + { + "entropy": 5.420581722259522, + "epoch": 4.962682531097891, + "grad_norm": 0.8984375, + "learning_rate": 0.00032024066488582517, + "loss": 4.9087, + "mean_token_accuracy": 0.22307772785425187, + "num_tokens": 10308397.0, + "step": 4590 + }, + { + "entropy": 5.616361284255982, + "epoch": 4.968090859924283, + "grad_norm": 0.9921875, + "learning_rate": 0.0003198204238688178, + "loss": 5.1932, + "mean_token_accuracy": 0.20035981386899948, + "num_tokens": 10319648.0, + "step": 4595 + }, + { + "entropy": 5.652286148071289, + "epoch": 4.973499188750676, + "grad_norm": 0.94140625, + "learning_rate": 0.00031940001997428645, + "loss": 5.1707, + "mean_token_accuracy": 0.2010723575949669, + "num_tokens": 10330922.0, + "step": 4600 + }, + { + "entropy": 5.523626327514648, + "epoch": 4.978907517577069, + "grad_norm": 1.03125, + "learning_rate": 0.00031897945472997996, + "loss": 5.0548, + "mean_token_accuracy": 0.20578106194734574, + "num_tokens": 10341959.0, + "step": 4605 + }, + { + "entropy": 5.5449658870697025, + "epoch": 4.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0003185587296642333, + "loss": 5.1312, + "mean_token_accuracy": 0.21090947985649108, + "num_tokens": 10353125.0, + "step": 4610 + }, + { + "entropy": 5.567223691940308, + "epoch": 4.9897241752298545, + "grad_norm": 1.0546875, + "learning_rate": 0.0003181378463059625, + "loss": 5.155, + "mean_token_accuracy": 0.2045162320137024, + "num_tokens": 10364528.0, + "step": 4615 + }, + { + "entropy": 5.502493953704834, + "epoch": 4.995132504056246, + "grad_norm": 0.8984375, + "learning_rate": 0.0003177168061846584, + "loss": 5.013, + "mean_token_accuracy": 0.21816083341836928, + "num_tokens": 10375252.0, + "step": 4620 + }, + { + "entropy": 5.496442000071208, + "epoch": 5.0, + "grad_norm": 1.84375, + "learning_rate": 0.0003172956108303819, + "loss": 4.9872, + "mean_token_accuracy": 0.216766443517473, + "num_tokens": 10384445.0, + "step": 4625 + }, + { + "entropy": 5.528093242645264, + "epoch": 5.005408328826393, + "grad_norm": 0.88671875, + "learning_rate": 0.0003168742617737579, + "loss": 4.9556, + "mean_token_accuracy": 0.21919166445732116, + "num_tokens": 10396122.0, + "step": 4630 + }, + { + "entropy": 5.603008890151978, + "epoch": 5.010816657652786, + "grad_norm": 0.7890625, + "learning_rate": 0.00031645276054597006, + "loss": 4.9064, + "mean_token_accuracy": 0.2211405813694, + "num_tokens": 10409135.0, + "step": 4635 + }, + { + "entropy": 5.586550092697143, + "epoch": 5.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.00031603110867875435, + "loss": 4.8883, + "mean_token_accuracy": 0.22872422486543656, + "num_tokens": 10421068.0, + "step": 4640 + }, + { + "entropy": 5.501196575164795, + "epoch": 5.0216333153055706, + "grad_norm": 0.953125, + "learning_rate": 0.000315609307704395, + "loss": 4.8529, + "mean_token_accuracy": 0.2281401500105858, + "num_tokens": 10432117.0, + "step": 4645 + }, + { + "entropy": 5.535338020324707, + "epoch": 5.027041644131963, + "grad_norm": 0.8984375, + "learning_rate": 0.0003151873591557176, + "loss": 4.8912, + "mean_token_accuracy": 0.22080296128988267, + "num_tokens": 10443547.0, + "step": 4650 + }, + { + "entropy": 5.5264379501342775, + "epoch": 5.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.00031476526456608415, + "loss": 4.8489, + "mean_token_accuracy": 0.22700522541999818, + "num_tokens": 10455038.0, + "step": 4655 + }, + { + "entropy": 5.550225639343262, + "epoch": 5.037858301784748, + "grad_norm": 0.95703125, + "learning_rate": 0.0003143430254693873, + "loss": 4.9477, + "mean_token_accuracy": 0.21674466133117676, + "num_tokens": 10466682.0, + "step": 4660 + }, + { + "entropy": 5.5271460056304935, + "epoch": 5.043266630611141, + "grad_norm": 1.0078125, + "learning_rate": 0.0003139206434000451, + "loss": 4.9151, + "mean_token_accuracy": 0.22240815162658692, + "num_tokens": 10478575.0, + "step": 4665 + }, + { + "entropy": 5.569495391845703, + "epoch": 5.048674959437534, + "grad_norm": 0.94140625, + "learning_rate": 0.0003134981198929948, + "loss": 4.8959, + "mean_token_accuracy": 0.2266492411494255, + "num_tokens": 10490088.0, + "step": 4670 + }, + { + "entropy": 5.498064756393433, + "epoch": 5.054083288263927, + "grad_norm": 1.0546875, + "learning_rate": 0.00031307545648368777, + "loss": 4.7767, + "mean_token_accuracy": 0.2328466773033142, + "num_tokens": 10499877.0, + "step": 4675 + }, + { + "entropy": 5.46832504272461, + "epoch": 5.059491617090319, + "grad_norm": 0.9765625, + "learning_rate": 0.00031265265470808393, + "loss": 4.7688, + "mean_token_accuracy": 0.23446664959192276, + "num_tokens": 10509830.0, + "step": 4680 + }, + { + "entropy": 5.477397060394287, + "epoch": 5.064899945916712, + "grad_norm": 1.0078125, + "learning_rate": 0.00031222971610264595, + "loss": 4.8014, + "mean_token_accuracy": 0.22999125868082046, + "num_tokens": 10520072.0, + "step": 4685 + }, + { + "entropy": 5.526410722732544, + "epoch": 5.0703082747431045, + "grad_norm": 1.0, + "learning_rate": 0.00031180664220433347, + "loss": 4.9696, + "mean_token_accuracy": 0.22071902453899384, + "num_tokens": 10531260.0, + "step": 4690 + }, + { + "entropy": 5.477414608001709, + "epoch": 5.075716603569497, + "grad_norm": 1.0, + "learning_rate": 0.00031138343455059823, + "loss": 4.8571, + "mean_token_accuracy": 0.22696343213319778, + "num_tokens": 10542971.0, + "step": 4695 + }, + { + "entropy": 5.464529418945313, + "epoch": 5.081124932395889, + "grad_norm": 0.97265625, + "learning_rate": 0.0003109600946793778, + "loss": 4.8392, + "mean_token_accuracy": 0.2284951239824295, + "num_tokens": 10554101.0, + "step": 4700 + }, + { + "entropy": 5.605349922180176, + "epoch": 5.086533261222282, + "grad_norm": 0.94140625, + "learning_rate": 0.00031053662412909024, + "loss": 4.9924, + "mean_token_accuracy": 0.21688981205224991, + "num_tokens": 10565866.0, + "step": 4705 + }, + { + "entropy": 5.453184270858765, + "epoch": 5.091941590048675, + "grad_norm": 0.8671875, + "learning_rate": 0.0003101130244386283, + "loss": 4.8064, + "mean_token_accuracy": 0.23072075247764587, + "num_tokens": 10577276.0, + "step": 4710 + }, + { + "entropy": 5.594261884689331, + "epoch": 5.097349918875068, + "grad_norm": 0.9609375, + "learning_rate": 0.00030968929714735456, + "loss": 5.0054, + "mean_token_accuracy": 0.21874586939811708, + "num_tokens": 10588625.0, + "step": 4715 + }, + { + "entropy": 5.425375604629517, + "epoch": 5.10275824770146, + "grad_norm": 0.96875, + "learning_rate": 0.0003092654437950947, + "loss": 4.8637, + "mean_token_accuracy": 0.22720252275466918, + "num_tokens": 10599833.0, + "step": 4720 + }, + { + "entropy": 5.456516408920288, + "epoch": 5.108166576527853, + "grad_norm": 0.9921875, + "learning_rate": 0.0003088414659221331, + "loss": 4.8677, + "mean_token_accuracy": 0.21797628104686737, + "num_tokens": 10610156.0, + "step": 4725 + }, + { + "entropy": 5.480758142471314, + "epoch": 5.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.000308417365069206, + "loss": 4.8825, + "mean_token_accuracy": 0.22795740216970445, + "num_tokens": 10619839.0, + "step": 4730 + }, + { + "entropy": 5.499576425552368, + "epoch": 5.1189832341806385, + "grad_norm": 0.97265625, + "learning_rate": 0.00030799314277749697, + "loss": 4.8791, + "mean_token_accuracy": 0.22572332620620728, + "num_tokens": 10631671.0, + "step": 4735 + }, + { + "entropy": 5.485957908630371, + "epoch": 5.1243915630070305, + "grad_norm": 1.0, + "learning_rate": 0.00030756880058863085, + "loss": 4.8818, + "mean_token_accuracy": 0.22702433317899703, + "num_tokens": 10642597.0, + "step": 4740 + }, + { + "entropy": 5.547960376739502, + "epoch": 5.129799891833423, + "grad_norm": 1.015625, + "learning_rate": 0.00030714434004466823, + "loss": 4.9414, + "mean_token_accuracy": 0.21335140615701675, + "num_tokens": 10653323.0, + "step": 4745 + }, + { + "entropy": 5.5615216255187985, + "epoch": 5.135208220659816, + "grad_norm": 0.9609375, + "learning_rate": 0.00030671976268809947, + "loss": 4.9737, + "mean_token_accuracy": 0.21917204856872557, + "num_tokens": 10665572.0, + "step": 4750 + }, + { + "entropy": 5.450459241867065, + "epoch": 5.140616549486209, + "grad_norm": 1.09375, + "learning_rate": 0.00030629507006183995, + "loss": 4.8015, + "mean_token_accuracy": 0.22744957357645035, + "num_tokens": 10676686.0, + "step": 4755 + }, + { + "entropy": 5.458092498779297, + "epoch": 5.146024878312601, + "grad_norm": 1.1328125, + "learning_rate": 0.0003058702637092234, + "loss": 4.9562, + "mean_token_accuracy": 0.2186889737844467, + "num_tokens": 10687188.0, + "step": 4760 + }, + { + "entropy": 5.513929224014282, + "epoch": 5.151433207138994, + "grad_norm": 0.95703125, + "learning_rate": 0.00030544534517399724, + "loss": 4.8805, + "mean_token_accuracy": 0.22149462401866912, + "num_tokens": 10698343.0, + "step": 4765 + }, + { + "entropy": 5.509257984161377, + "epoch": 5.156841535965387, + "grad_norm": 0.94921875, + "learning_rate": 0.0003050203160003163, + "loss": 4.8566, + "mean_token_accuracy": 0.2240440934896469, + "num_tokens": 10710732.0, + "step": 4770 + }, + { + "entropy": 5.527531480789184, + "epoch": 5.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.0003045951777327377, + "loss": 4.9337, + "mean_token_accuracy": 0.2243843585252762, + "num_tokens": 10722397.0, + "step": 4775 + }, + { + "entropy": 5.396258449554443, + "epoch": 5.167658193618172, + "grad_norm": 0.96484375, + "learning_rate": 0.0003041699319162148, + "loss": 4.8263, + "mean_token_accuracy": 0.221099328994751, + "num_tokens": 10733714.0, + "step": 4780 + }, + { + "entropy": 5.487423133850098, + "epoch": 5.173066522444564, + "grad_norm": 0.921875, + "learning_rate": 0.00030374458009609193, + "loss": 4.9096, + "mean_token_accuracy": 0.22515179812908173, + "num_tokens": 10745748.0, + "step": 4785 + }, + { + "entropy": 5.6112525939941404, + "epoch": 5.178474851270957, + "grad_norm": 1.015625, + "learning_rate": 0.0003033191238180985, + "loss": 4.9403, + "mean_token_accuracy": 0.2272365614771843, + "num_tokens": 10756094.0, + "step": 4790 + }, + { + "entropy": 5.50868330001831, + "epoch": 5.18388318009735, + "grad_norm": 0.9921875, + "learning_rate": 0.0003028935646283438, + "loss": 4.994, + "mean_token_accuracy": 0.21618228554725646, + "num_tokens": 10768068.0, + "step": 4795 + }, + { + "entropy": 5.4779845714569095, + "epoch": 5.189291508923742, + "grad_norm": 1.03125, + "learning_rate": 0.00030246790407331063, + "loss": 4.8476, + "mean_token_accuracy": 0.2233078360557556, + "num_tokens": 10778917.0, + "step": 4800 + }, + { + "entropy": 5.495712518692017, + "epoch": 5.194699837750135, + "grad_norm": 0.99609375, + "learning_rate": 0.00030204214369985066, + "loss": 4.8669, + "mean_token_accuracy": 0.2277569890022278, + "num_tokens": 10790552.0, + "step": 4805 + }, + { + "entropy": 5.527979612350464, + "epoch": 5.200108166576528, + "grad_norm": 0.94140625, + "learning_rate": 0.00030161628505517797, + "loss": 4.9054, + "mean_token_accuracy": 0.21913376003503798, + "num_tokens": 10803199.0, + "step": 4810 + }, + { + "entropy": 5.44367413520813, + "epoch": 5.205516495402921, + "grad_norm": 0.984375, + "learning_rate": 0.00030119032968686397, + "loss": 4.8415, + "mean_token_accuracy": 0.22889240086078644, + "num_tokens": 10814339.0, + "step": 4815 + }, + { + "entropy": 5.460538148880005, + "epoch": 5.210924824229313, + "grad_norm": 0.9140625, + "learning_rate": 0.00030076427914283127, + "loss": 4.9144, + "mean_token_accuracy": 0.21594512164592744, + "num_tokens": 10825776.0, + "step": 4820 + }, + { + "entropy": 5.530256366729736, + "epoch": 5.2163331530557056, + "grad_norm": 0.99609375, + "learning_rate": 0.00030033813497134864, + "loss": 4.8544, + "mean_token_accuracy": 0.22742793411016465, + "num_tokens": 10837179.0, + "step": 4825 + }, + { + "entropy": 5.434867238998413, + "epoch": 5.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.000299911898721025, + "loss": 4.9009, + "mean_token_accuracy": 0.22611162364482879, + "num_tokens": 10847205.0, + "step": 4830 + }, + { + "entropy": 5.504870128631592, + "epoch": 5.227149810708491, + "grad_norm": 0.859375, + "learning_rate": 0.00029948557194080385, + "loss": 4.8953, + "mean_token_accuracy": 0.2238959863781929, + "num_tokens": 10859895.0, + "step": 4835 + }, + { + "entropy": 5.442061185836792, + "epoch": 5.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.0002990591561799576, + "loss": 4.9241, + "mean_token_accuracy": 0.21286537796258925, + "num_tokens": 10871286.0, + "step": 4840 + }, + { + "entropy": 5.443824434280396, + "epoch": 5.237966468361276, + "grad_norm": 1.03125, + "learning_rate": 0.0002986326529880823, + "loss": 4.756, + "mean_token_accuracy": 0.23349499106407165, + "num_tokens": 10883479.0, + "step": 4845 + }, + { + "entropy": 5.577119398117065, + "epoch": 5.243374797187669, + "grad_norm": 1.125, + "learning_rate": 0.0002982060639150913, + "loss": 4.9296, + "mean_token_accuracy": 0.22659704983234405, + "num_tokens": 10895432.0, + "step": 4850 + }, + { + "entropy": 5.486083078384399, + "epoch": 5.248783126014062, + "grad_norm": 0.953125, + "learning_rate": 0.0002977793905112106, + "loss": 4.9538, + "mean_token_accuracy": 0.22209923714399338, + "num_tokens": 10906891.0, + "step": 4855 + }, + { + "entropy": 5.444073104858399, + "epoch": 5.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00029735263432697183, + "loss": 4.9508, + "mean_token_accuracy": 0.21773838251829147, + "num_tokens": 10917706.0, + "step": 4860 + }, + { + "entropy": 5.456596851348877, + "epoch": 5.259599783666847, + "grad_norm": 0.9609375, + "learning_rate": 0.0002969257969132085, + "loss": 4.9405, + "mean_token_accuracy": 0.2228843316435814, + "num_tokens": 10929325.0, + "step": 4865 + }, + { + "entropy": 5.524547338485718, + "epoch": 5.2650081124932395, + "grad_norm": 1.109375, + "learning_rate": 0.0002964988798210485, + "loss": 4.9319, + "mean_token_accuracy": 0.2103923425078392, + "num_tokens": 10939899.0, + "step": 4870 + }, + { + "entropy": 5.495690202713012, + "epoch": 5.270416441319632, + "grad_norm": 0.9921875, + "learning_rate": 0.0002960718846019095, + "loss": 4.8823, + "mean_token_accuracy": 0.22650152891874314, + "num_tokens": 10949801.0, + "step": 4875 + }, + { + "entropy": 5.351631355285645, + "epoch": 5.275824770146025, + "grad_norm": 1.0078125, + "learning_rate": 0.0002956448128074931, + "loss": 4.7594, + "mean_token_accuracy": 0.2333318457007408, + "num_tokens": 10960191.0, + "step": 4880 + }, + { + "entropy": 5.565910768508911, + "epoch": 5.281233098972417, + "grad_norm": 0.88671875, + "learning_rate": 0.0002952176659897794, + "loss": 5.0229, + "mean_token_accuracy": 0.21818405240774155, + "num_tokens": 10972818.0, + "step": 4885 + }, + { + "entropy": 5.542775964736938, + "epoch": 5.28664142779881, + "grad_norm": 1.015625, + "learning_rate": 0.0002947904457010207, + "loss": 4.9287, + "mean_token_accuracy": 0.21841724514961242, + "num_tokens": 10984320.0, + "step": 4890 + }, + { + "entropy": 5.501249027252197, + "epoch": 5.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0002943631534937366, + "loss": 4.8801, + "mean_token_accuracy": 0.22640899568796158, + "num_tokens": 10995262.0, + "step": 4895 + }, + { + "entropy": 5.385098266601562, + "epoch": 5.297458085451596, + "grad_norm": 0.984375, + "learning_rate": 0.0002939357909207079, + "loss": 4.8709, + "mean_token_accuracy": 0.22468690872192382, + "num_tokens": 11005788.0, + "step": 4900 + }, + { + "entropy": 5.5195540428161625, + "epoch": 5.302866414277988, + "grad_norm": 1.0390625, + "learning_rate": 0.0002935083595349713, + "loss": 4.9028, + "mean_token_accuracy": 0.2290490075945854, + "num_tokens": 11016772.0, + "step": 4905 + }, + { + "entropy": 5.531022310256958, + "epoch": 5.308274743104381, + "grad_norm": 0.92578125, + "learning_rate": 0.00029308086088981335, + "loss": 4.962, + "mean_token_accuracy": 0.22039518356323243, + "num_tokens": 11028917.0, + "step": 4910 + }, + { + "entropy": 5.498329496383667, + "epoch": 5.3136830719307735, + "grad_norm": 1.0546875, + "learning_rate": 0.00029265329653876515, + "loss": 4.9503, + "mean_token_accuracy": 0.21752556413412094, + "num_tokens": 11040500.0, + "step": 4915 + }, + { + "entropy": 5.476529359817505, + "epoch": 5.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.0002922256680355965, + "loss": 4.8668, + "mean_token_accuracy": 0.2250487968325615, + "num_tokens": 11052173.0, + "step": 4920 + }, + { + "entropy": 5.542095422744751, + "epoch": 5.324499729583558, + "grad_norm": 1.109375, + "learning_rate": 0.00029179797693431046, + "loss": 4.8896, + "mean_token_accuracy": 0.22516080290079116, + "num_tokens": 11061917.0, + "step": 4925 + }, + { + "entropy": 5.450285196304321, + "epoch": 5.329908058409951, + "grad_norm": 1.0703125, + "learning_rate": 0.0002913702247891374, + "loss": 4.8752, + "mean_token_accuracy": 0.23229186683893205, + "num_tokens": 11072820.0, + "step": 4930 + }, + { + "entropy": 5.564850187301635, + "epoch": 5.335316387236344, + "grad_norm": 1.0625, + "learning_rate": 0.0002909424131545296, + "loss": 4.9642, + "mean_token_accuracy": 0.22445973008871078, + "num_tokens": 11083140.0, + "step": 4935 + }, + { + "entropy": 5.542190027236939, + "epoch": 5.340724716062737, + "grad_norm": 0.90234375, + "learning_rate": 0.00029051454358515553, + "loss": 4.9289, + "mean_token_accuracy": 0.22055180966854096, + "num_tokens": 11094314.0, + "step": 4940 + }, + { + "entropy": 5.50953254699707, + "epoch": 5.346133044889129, + "grad_norm": 0.92578125, + "learning_rate": 0.00029008661763589436, + "loss": 4.9733, + "mean_token_accuracy": 0.2225899413228035, + "num_tokens": 11106748.0, + "step": 4945 + }, + { + "entropy": 5.510439777374268, + "epoch": 5.351541373715522, + "grad_norm": 0.91796875, + "learning_rate": 0.0002896586368618297, + "loss": 4.9464, + "mean_token_accuracy": 0.22568726241588594, + "num_tokens": 11118702.0, + "step": 4950 + }, + { + "entropy": 5.525369310379029, + "epoch": 5.356949702541915, + "grad_norm": 0.96875, + "learning_rate": 0.00028923060281824483, + "loss": 4.9396, + "mean_token_accuracy": 0.21333917528390883, + "num_tokens": 11130782.0, + "step": 4955 + }, + { + "entropy": 5.4839788436889645, + "epoch": 5.3623580313683075, + "grad_norm": 1.015625, + "learning_rate": 0.0002888025170606165, + "loss": 4.9011, + "mean_token_accuracy": 0.22421319633722306, + "num_tokens": 11142536.0, + "step": 4960 + }, + { + "entropy": 5.483171844482422, + "epoch": 5.367766360194699, + "grad_norm": 1.0, + "learning_rate": 0.00028837438114460924, + "loss": 4.9031, + "mean_token_accuracy": 0.2182278573513031, + "num_tokens": 11154027.0, + "step": 4965 + }, + { + "entropy": 5.48946442604065, + "epoch": 5.373174689021092, + "grad_norm": 1.0625, + "learning_rate": 0.0002879461966260699, + "loss": 4.9259, + "mean_token_accuracy": 0.2160453200340271, + "num_tokens": 11164759.0, + "step": 4970 + }, + { + "entropy": 5.501074504852295, + "epoch": 5.378583017847485, + "grad_norm": 0.953125, + "learning_rate": 0.00028751796506102224, + "loss": 4.9456, + "mean_token_accuracy": 0.22141506671905517, + "num_tokens": 11176341.0, + "step": 4975 + }, + { + "entropy": 5.5393781661987305, + "epoch": 5.383991346673878, + "grad_norm": 0.95703125, + "learning_rate": 0.00028708968800566056, + "loss": 4.906, + "mean_token_accuracy": 0.22104442417621611, + "num_tokens": 11188958.0, + "step": 4980 + }, + { + "entropy": 5.5685571193695065, + "epoch": 5.38939967550027, + "grad_norm": 1.140625, + "learning_rate": 0.00028666136701634474, + "loss": 5.0001, + "mean_token_accuracy": 0.20960879027843476, + "num_tokens": 11200895.0, + "step": 4985 + }, + { + "entropy": 5.529350328445434, + "epoch": 5.394808004326663, + "grad_norm": 0.96875, + "learning_rate": 0.0002862330036495942, + "loss": 4.9108, + "mean_token_accuracy": 0.22896960824728013, + "num_tokens": 11211563.0, + "step": 4990 + }, + { + "entropy": 5.5777318477630615, + "epoch": 5.400216333153056, + "grad_norm": 0.9921875, + "learning_rate": 0.0002858045994620825, + "loss": 5.0099, + "mean_token_accuracy": 0.21429480612277985, + "num_tokens": 11223323.0, + "step": 4995 + }, + { + "entropy": 5.532574558258057, + "epoch": 5.405624661979449, + "grad_norm": 0.9375, + "learning_rate": 0.00028537615601063133, + "loss": 4.9088, + "mean_token_accuracy": 0.2173854023218155, + "num_tokens": 11235991.0, + "step": 5000 + }, + { + "epoch": 5.405624661979449, + "eval_entropy": 5.359868227351796, + "eval_loss": 5.847285270690918, + "eval_mean_token_accuracy": 0.18075780379162593, + "eval_num_tokens": 11235991.0, + "eval_runtime": 3.5358, + "eval_samples_per_second": 994.104, + "eval_steps_per_second": 124.44, + "step": 5000 + }, + { + "entropy": 5.455257225036621, + "epoch": 5.411032990805841, + "grad_norm": 0.9609375, + "learning_rate": 0.0002849476748522052, + "loss": 4.8879, + "mean_token_accuracy": 0.22323424369096756, + "num_tokens": 11247406.0, + "step": 5005 + }, + { + "entropy": 5.3663108348846436, + "epoch": 5.416441319632233, + "grad_norm": 0.89453125, + "learning_rate": 0.0002845191575439057, + "loss": 4.8489, + "mean_token_accuracy": 0.22015611827373505, + "num_tokens": 11259031.0, + "step": 5010 + }, + { + "entropy": 5.463020086288452, + "epoch": 5.421849648458626, + "grad_norm": 0.9609375, + "learning_rate": 0.0002840906056429658, + "loss": 4.9252, + "mean_token_accuracy": 0.2181644394993782, + "num_tokens": 11270321.0, + "step": 5015 + }, + { + "entropy": 5.51222939491272, + "epoch": 5.427257977285019, + "grad_norm": 1.0703125, + "learning_rate": 0.0002836620207067439, + "loss": 5.0229, + "mean_token_accuracy": 0.2076768919825554, + "num_tokens": 11282209.0, + "step": 5020 + }, + { + "entropy": 5.5796140193939205, + "epoch": 5.432666306111411, + "grad_norm": 1.1171875, + "learning_rate": 0.00028323340429271875, + "loss": 4.9472, + "mean_token_accuracy": 0.21594048887491227, + "num_tokens": 11292987.0, + "step": 5025 + }, + { + "entropy": 5.507422924041748, + "epoch": 5.438074634937804, + "grad_norm": 1.0390625, + "learning_rate": 0.0002828047579584833, + "loss": 4.9016, + "mean_token_accuracy": 0.22376736998558044, + "num_tokens": 11303197.0, + "step": 5030 + }, + { + "entropy": 5.413560152053833, + "epoch": 5.443482963764197, + "grad_norm": 0.98828125, + "learning_rate": 0.00028237608326173944, + "loss": 4.8308, + "mean_token_accuracy": 0.23067670911550522, + "num_tokens": 11315229.0, + "step": 5035 + }, + { + "entropy": 5.44630651473999, + "epoch": 5.44889129259059, + "grad_norm": 1.078125, + "learning_rate": 0.00028194738176029206, + "loss": 4.9124, + "mean_token_accuracy": 0.2220005840063095, + "num_tokens": 11326033.0, + "step": 5040 + }, + { + "entropy": 5.43988265991211, + "epoch": 5.4542996214169825, + "grad_norm": 1.0078125, + "learning_rate": 0.00028151865501204316, + "loss": 4.9213, + "mean_token_accuracy": 0.21385481357574462, + "num_tokens": 11335670.0, + "step": 5045 + }, + { + "entropy": 5.48417558670044, + "epoch": 5.4597079502433745, + "grad_norm": 0.91015625, + "learning_rate": 0.00028108990457498696, + "loss": 4.8722, + "mean_token_accuracy": 0.2302040845155716, + "num_tokens": 11346882.0, + "step": 5050 + }, + { + "entropy": 5.480646085739136, + "epoch": 5.465116279069767, + "grad_norm": 1.015625, + "learning_rate": 0.00028066113200720343, + "loss": 4.8288, + "mean_token_accuracy": 0.22758808583021164, + "num_tokens": 11358141.0, + "step": 5055 + }, + { + "entropy": 5.407720994949341, + "epoch": 5.47052460789616, + "grad_norm": 0.984375, + "learning_rate": 0.00028023233886685314, + "loss": 4.8753, + "mean_token_accuracy": 0.22024642527103425, + "num_tokens": 11368981.0, + "step": 5060 + }, + { + "entropy": 5.502127361297608, + "epoch": 5.475932936722553, + "grad_norm": 1.0234375, + "learning_rate": 0.0002798035267121713, + "loss": 5.0012, + "mean_token_accuracy": 0.21348655074834824, + "num_tokens": 11381613.0, + "step": 5065 + }, + { + "entropy": 5.569995927810669, + "epoch": 5.481341265548945, + "grad_norm": 1.046875, + "learning_rate": 0.0002793746971014623, + "loss": 4.9372, + "mean_token_accuracy": 0.22158569246530532, + "num_tokens": 11392321.0, + "step": 5070 + }, + { + "entropy": 5.4565346240997314, + "epoch": 5.486749594375338, + "grad_norm": 1.078125, + "learning_rate": 0.0002789458515930939, + "loss": 4.9292, + "mean_token_accuracy": 0.2208003059029579, + "num_tokens": 11403546.0, + "step": 5075 + }, + { + "entropy": 5.454629850387573, + "epoch": 5.492157923201731, + "grad_norm": 0.98046875, + "learning_rate": 0.00027851699174549164, + "loss": 4.8671, + "mean_token_accuracy": 0.22627684772014617, + "num_tokens": 11415167.0, + "step": 5080 + }, + { + "entropy": 5.518552207946778, + "epoch": 5.497566252028124, + "grad_norm": 1.0234375, + "learning_rate": 0.0002780881191171333, + "loss": 4.8769, + "mean_token_accuracy": 0.22364618480205536, + "num_tokens": 11426715.0, + "step": 5085 + }, + { + "entropy": 5.49597282409668, + "epoch": 5.502974580854516, + "grad_norm": 1.0078125, + "learning_rate": 0.00027765923526654304, + "loss": 4.8677, + "mean_token_accuracy": 0.22670321613550187, + "num_tokens": 11437760.0, + "step": 5090 + }, + { + "entropy": 5.492688322067261, + "epoch": 5.5083829096809085, + "grad_norm": 0.9765625, + "learning_rate": 0.00027723034175228554, + "loss": 4.9421, + "mean_token_accuracy": 0.22019703984260558, + "num_tokens": 11448329.0, + "step": 5095 + }, + { + "entropy": 5.431415700912476, + "epoch": 5.513791238507301, + "grad_norm": 1.046875, + "learning_rate": 0.000276801440132961, + "loss": 4.7698, + "mean_token_accuracy": 0.234079709649086, + "num_tokens": 11459173.0, + "step": 5100 + }, + { + "entropy": 5.4285736083984375, + "epoch": 5.519199567333694, + "grad_norm": 0.9921875, + "learning_rate": 0.0002763725319671989, + "loss": 4.8748, + "mean_token_accuracy": 0.22336506843566895, + "num_tokens": 11470232.0, + "step": 5105 + }, + { + "entropy": 5.375560235977173, + "epoch": 5.524607896160086, + "grad_norm": 1.0234375, + "learning_rate": 0.0002759436188136525, + "loss": 4.8556, + "mean_token_accuracy": 0.22446597516536712, + "num_tokens": 11481181.0, + "step": 5110 + }, + { + "entropy": 5.518925189971924, + "epoch": 5.530016224986479, + "grad_norm": 1.0, + "learning_rate": 0.00027551470223099306, + "loss": 4.9085, + "mean_token_accuracy": 0.2181531310081482, + "num_tokens": 11491772.0, + "step": 5115 + }, + { + "entropy": 5.5260766506195065, + "epoch": 5.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0002750857837779045, + "loss": 4.8638, + "mean_token_accuracy": 0.22381193935871124, + "num_tokens": 11503895.0, + "step": 5120 + }, + { + "entropy": 5.480987071990967, + "epoch": 5.540832882639265, + "grad_norm": 1.0390625, + "learning_rate": 0.0002746568650130775, + "loss": 4.889, + "mean_token_accuracy": 0.22760302275419236, + "num_tokens": 11514189.0, + "step": 5125 + }, + { + "entropy": 5.37455005645752, + "epoch": 5.546241211465657, + "grad_norm": 0.95703125, + "learning_rate": 0.0002742279474952039, + "loss": 4.9044, + "mean_token_accuracy": 0.22398550659418107, + "num_tokens": 11526142.0, + "step": 5130 + }, + { + "entropy": 5.507328224182129, + "epoch": 5.55164954029205, + "grad_norm": 1.0234375, + "learning_rate": 0.00027379903278297086, + "loss": 4.9312, + "mean_token_accuracy": 0.21721230298280716, + "num_tokens": 11537061.0, + "step": 5135 + }, + { + "entropy": 5.530687284469605, + "epoch": 5.5570578691184425, + "grad_norm": 1.0234375, + "learning_rate": 0.00027337012243505536, + "loss": 5.0297, + "mean_token_accuracy": 0.20581408888101577, + "num_tokens": 11547319.0, + "step": 5140 + }, + { + "entropy": 5.504242658615112, + "epoch": 5.562466197944835, + "grad_norm": 0.98828125, + "learning_rate": 0.00027294121801011887, + "loss": 4.9418, + "mean_token_accuracy": 0.22116187661886216, + "num_tokens": 11558766.0, + "step": 5145 + }, + { + "entropy": 5.4529502391815186, + "epoch": 5.567874526771227, + "grad_norm": 1.0, + "learning_rate": 0.00027251232106680084, + "loss": 4.8547, + "mean_token_accuracy": 0.2266584575176239, + "num_tokens": 11570039.0, + "step": 5150 + }, + { + "entropy": 5.399138593673706, + "epoch": 5.57328285559762, + "grad_norm": 1.0078125, + "learning_rate": 0.00027208343316371383, + "loss": 4.8922, + "mean_token_accuracy": 0.2278255820274353, + "num_tokens": 11581664.0, + "step": 5155 + }, + { + "entropy": 5.466609287261963, + "epoch": 5.578691184424013, + "grad_norm": 0.9296875, + "learning_rate": 0.0002716545558594373, + "loss": 4.9241, + "mean_token_accuracy": 0.2118991419672966, + "num_tokens": 11592689.0, + "step": 5160 + }, + { + "entropy": 5.508473634719849, + "epoch": 5.584099513250406, + "grad_norm": 0.99609375, + "learning_rate": 0.0002712256907125126, + "loss": 4.8443, + "mean_token_accuracy": 0.2241092950105667, + "num_tokens": 11604315.0, + "step": 5165 + }, + { + "entropy": 5.543499088287353, + "epoch": 5.589507842076799, + "grad_norm": 1.0703125, + "learning_rate": 0.0002707968392814366, + "loss": 4.9643, + "mean_token_accuracy": 0.22009238004684448, + "num_tokens": 11614510.0, + "step": 5170 + }, + { + "entropy": 5.469890308380127, + "epoch": 5.594916170903191, + "grad_norm": 0.97265625, + "learning_rate": 0.00027036800312465635, + "loss": 4.8773, + "mean_token_accuracy": 0.22867128401994705, + "num_tokens": 11625501.0, + "step": 5175 + }, + { + "entropy": 5.535786056518555, + "epoch": 5.600324499729584, + "grad_norm": 1.0546875, + "learning_rate": 0.0002699391838005634, + "loss": 4.9374, + "mean_token_accuracy": 0.22422817051410676, + "num_tokens": 11636841.0, + "step": 5180 + }, + { + "entropy": 5.418750333786011, + "epoch": 5.605732828555976, + "grad_norm": 1.0859375, + "learning_rate": 0.00026951038286748824, + "loss": 4.8465, + "mean_token_accuracy": 0.2297739565372467, + "num_tokens": 11647475.0, + "step": 5185 + }, + { + "entropy": 5.530784225463867, + "epoch": 5.611141157382368, + "grad_norm": 0.96875, + "learning_rate": 0.0002690816018836945, + "loss": 4.9507, + "mean_token_accuracy": 0.2173537626862526, + "num_tokens": 11658887.0, + "step": 5190 + }, + { + "entropy": 5.471008729934693, + "epoch": 5.616549486208761, + "grad_norm": 1.0, + "learning_rate": 0.0002686528424073731, + "loss": 5.0088, + "mean_token_accuracy": 0.21145847886800767, + "num_tokens": 11669658.0, + "step": 5195 + }, + { + "entropy": 5.535061264038086, + "epoch": 5.621957815035154, + "grad_norm": 0.953125, + "learning_rate": 0.00026822410599663704, + "loss": 4.9716, + "mean_token_accuracy": 0.21699988692998887, + "num_tokens": 11681792.0, + "step": 5200 + }, + { + "entropy": 5.509040117263794, + "epoch": 5.627366143861547, + "grad_norm": 1.078125, + "learning_rate": 0.00026779539420951554, + "loss": 4.9293, + "mean_token_accuracy": 0.21873082220554352, + "num_tokens": 11691903.0, + "step": 5205 + }, + { + "entropy": 5.532304048538208, + "epoch": 5.63277447268794, + "grad_norm": 1.0390625, + "learning_rate": 0.0002673667086039481, + "loss": 4.9355, + "mean_token_accuracy": 0.22825905084609985, + "num_tokens": 11703383.0, + "step": 5210 + }, + { + "entropy": 5.5031740188598635, + "epoch": 5.638182801514332, + "grad_norm": 1.03125, + "learning_rate": 0.0002669380507377792, + "loss": 4.9336, + "mean_token_accuracy": 0.22372952252626419, + "num_tokens": 11714721.0, + "step": 5215 + }, + { + "entropy": 5.449891853332519, + "epoch": 5.643591130340725, + "grad_norm": 1.0234375, + "learning_rate": 0.0002665094221687525, + "loss": 4.935, + "mean_token_accuracy": 0.21551574170589446, + "num_tokens": 11726016.0, + "step": 5220 + }, + { + "entropy": 5.413540506362915, + "epoch": 5.6489994591671175, + "grad_norm": 1.0234375, + "learning_rate": 0.0002660808244545054, + "loss": 4.7575, + "mean_token_accuracy": 0.23251993656158448, + "num_tokens": 11737589.0, + "step": 5225 + }, + { + "entropy": 5.4685218811035154, + "epoch": 5.6544077879935095, + "grad_norm": 0.91796875, + "learning_rate": 0.00026565225915256276, + "loss": 4.8658, + "mean_token_accuracy": 0.22948329597711564, + "num_tokens": 11747969.0, + "step": 5230 + }, + { + "entropy": 5.443226861953735, + "epoch": 5.659816116819902, + "grad_norm": 1.0625, + "learning_rate": 0.000265223727820332, + "loss": 4.836, + "mean_token_accuracy": 0.22504404336214065, + "num_tokens": 11759535.0, + "step": 5235 + }, + { + "entropy": 5.523590898513794, + "epoch": 5.665224445646295, + "grad_norm": 1.0390625, + "learning_rate": 0.0002647952320150969, + "loss": 4.9775, + "mean_token_accuracy": 0.21442292630672455, + "num_tokens": 11770863.0, + "step": 5240 + }, + { + "entropy": 5.485964727401734, + "epoch": 5.670632774472688, + "grad_norm": 1.015625, + "learning_rate": 0.0002643667732940122, + "loss": 4.9001, + "mean_token_accuracy": 0.216877081990242, + "num_tokens": 11782643.0, + "step": 5245 + }, + { + "entropy": 5.467176008224487, + "epoch": 5.676041103299081, + "grad_norm": 0.94921875, + "learning_rate": 0.00026393835321409796, + "loss": 4.933, + "mean_token_accuracy": 0.22458599954843522, + "num_tokens": 11794468.0, + "step": 5250 + }, + { + "entropy": 5.514464282989502, + "epoch": 5.681449432125473, + "grad_norm": 0.99609375, + "learning_rate": 0.00026350997333223375, + "loss": 4.8836, + "mean_token_accuracy": 0.23128425031900407, + "num_tokens": 11807051.0, + "step": 5255 + }, + { + "entropy": 5.432554149627686, + "epoch": 5.686857760951866, + "grad_norm": 1.046875, + "learning_rate": 0.00026308163520515293, + "loss": 4.9193, + "mean_token_accuracy": 0.21702346503734588, + "num_tokens": 11817067.0, + "step": 5260 + }, + { + "entropy": 5.428543901443481, + "epoch": 5.692266089778259, + "grad_norm": 0.9375, + "learning_rate": 0.00026265334038943735, + "loss": 4.919, + "mean_token_accuracy": 0.22408238500356675, + "num_tokens": 11828111.0, + "step": 5265 + }, + { + "entropy": 5.502649211883545, + "epoch": 5.6976744186046515, + "grad_norm": 0.98828125, + "learning_rate": 0.0002622250904415113, + "loss": 4.8822, + "mean_token_accuracy": 0.2273074984550476, + "num_tokens": 11838536.0, + "step": 5270 + }, + { + "entropy": 5.53525743484497, + "epoch": 5.7030827474310435, + "grad_norm": 1.0234375, + "learning_rate": 0.0002617968869176362, + "loss": 4.9228, + "mean_token_accuracy": 0.22227408438920976, + "num_tokens": 11848899.0, + "step": 5275 + }, + { + "entropy": 5.473860883712769, + "epoch": 5.708491076257436, + "grad_norm": 0.98046875, + "learning_rate": 0.0002613687313739044, + "loss": 4.9651, + "mean_token_accuracy": 0.22359169721603395, + "num_tokens": 11861023.0, + "step": 5280 + }, + { + "entropy": 5.43254508972168, + "epoch": 5.713899405083829, + "grad_norm": 1.015625, + "learning_rate": 0.0002609406253662344, + "loss": 4.9318, + "mean_token_accuracy": 0.21903841942548752, + "num_tokens": 11871953.0, + "step": 5285 + }, + { + "entropy": 5.501645612716675, + "epoch": 5.719307733910222, + "grad_norm": 1.1171875, + "learning_rate": 0.0002605125704503643, + "loss": 4.9505, + "mean_token_accuracy": 0.2237919017672539, + "num_tokens": 11882874.0, + "step": 5290 + }, + { + "entropy": 5.58112268447876, + "epoch": 5.724716062736614, + "grad_norm": 0.95703125, + "learning_rate": 0.0002600845681818467, + "loss": 4.8646, + "mean_token_accuracy": 0.22650408893823623, + "num_tokens": 11893431.0, + "step": 5295 + }, + { + "entropy": 5.454003143310547, + "epoch": 5.730124391563007, + "grad_norm": 0.9296875, + "learning_rate": 0.0002596566201160427, + "loss": 4.8851, + "mean_token_accuracy": 0.22219976037740707, + "num_tokens": 11905311.0, + "step": 5300 + }, + { + "entropy": 5.404032039642334, + "epoch": 5.7355327203894, + "grad_norm": 1.0078125, + "learning_rate": 0.00025922872780811664, + "loss": 4.9546, + "mean_token_accuracy": 0.21621623486280442, + "num_tokens": 11916342.0, + "step": 5305 + }, + { + "entropy": 5.492973470687867, + "epoch": 5.740941049215793, + "grad_norm": 1.046875, + "learning_rate": 0.00025880089281303027, + "loss": 4.9193, + "mean_token_accuracy": 0.21626884043216704, + "num_tokens": 11927485.0, + "step": 5310 + }, + { + "entropy": 5.476612329483032, + "epoch": 5.746349378042185, + "grad_norm": 1.015625, + "learning_rate": 0.00025837311668553683, + "loss": 4.8302, + "mean_token_accuracy": 0.2276885449886322, + "num_tokens": 11937968.0, + "step": 5315 + }, + { + "entropy": 5.44808611869812, + "epoch": 5.7517577068685775, + "grad_norm": 1.09375, + "learning_rate": 0.0002579454009801757, + "loss": 4.7927, + "mean_token_accuracy": 0.23528771847486496, + "num_tokens": 11947510.0, + "step": 5320 + }, + { + "entropy": 5.477059698104858, + "epoch": 5.75716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.0002575177472512669, + "loss": 4.9526, + "mean_token_accuracy": 0.2218560740351677, + "num_tokens": 11960002.0, + "step": 5325 + }, + { + "entropy": 5.444899559020996, + "epoch": 5.762574364521363, + "grad_norm": 0.9921875, + "learning_rate": 0.000257090157052905, + "loss": 4.8705, + "mean_token_accuracy": 0.21838984936475753, + "num_tokens": 11970895.0, + "step": 5330 + }, + { + "entropy": 5.459397077560425, + "epoch": 5.767982693347756, + "grad_norm": 1.015625, + "learning_rate": 0.00025666263193895375, + "loss": 4.888, + "mean_token_accuracy": 0.21968889981508255, + "num_tokens": 11982910.0, + "step": 5335 + }, + { + "entropy": 5.511087703704834, + "epoch": 5.773391022174148, + "grad_norm": 1.0546875, + "learning_rate": 0.00025623517346304027, + "loss": 4.9507, + "mean_token_accuracy": 0.21630610823631286, + "num_tokens": 11994066.0, + "step": 5340 + }, + { + "entropy": 5.47811861038208, + "epoch": 5.778799351000541, + "grad_norm": 0.96484375, + "learning_rate": 0.00025580778317855, + "loss": 4.8659, + "mean_token_accuracy": 0.22627412974834443, + "num_tokens": 12004821.0, + "step": 5345 + }, + { + "entropy": 5.475780200958252, + "epoch": 5.784207679826934, + "grad_norm": 1.0859375, + "learning_rate": 0.0002553804626386199, + "loss": 4.9451, + "mean_token_accuracy": 0.2223440647125244, + "num_tokens": 12014973.0, + "step": 5350 + }, + { + "entropy": 5.551906108856201, + "epoch": 5.789616008653326, + "grad_norm": 0.9453125, + "learning_rate": 0.0002549532133961339, + "loss": 5.0273, + "mean_token_accuracy": 0.2145695760846138, + "num_tokens": 12026528.0, + "step": 5355 + }, + { + "entropy": 5.607546472549439, + "epoch": 5.795024337479719, + "grad_norm": 1.0625, + "learning_rate": 0.00025452603700371675, + "loss": 5.0506, + "mean_token_accuracy": 0.21419217735528945, + "num_tokens": 12038733.0, + "step": 5360 + }, + { + "entropy": 5.5201372623443605, + "epoch": 5.800432666306111, + "grad_norm": 1.015625, + "learning_rate": 0.0002540989350137285, + "loss": 4.9722, + "mean_token_accuracy": 0.21627445071935653, + "num_tokens": 12049821.0, + "step": 5365 + }, + { + "entropy": 5.565732765197754, + "epoch": 5.805840995132504, + "grad_norm": 0.99609375, + "learning_rate": 0.00025367190897825873, + "loss": 4.9698, + "mean_token_accuracy": 0.21938712447881697, + "num_tokens": 12060982.0, + "step": 5370 + }, + { + "entropy": 5.489997673034668, + "epoch": 5.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 0.0002532449604491209, + "loss": 4.8542, + "mean_token_accuracy": 0.2305293619632721, + "num_tokens": 12070842.0, + "step": 5375 + }, + { + "entropy": 5.4013769149780275, + "epoch": 5.816657652785289, + "grad_norm": 1.0859375, + "learning_rate": 0.0002528180909778471, + "loss": 4.8389, + "mean_token_accuracy": 0.2326238349080086, + "num_tokens": 12080992.0, + "step": 5380 + }, + { + "entropy": 5.480729961395264, + "epoch": 5.822065981611682, + "grad_norm": 1.046875, + "learning_rate": 0.00025239130211568206, + "loss": 4.9151, + "mean_token_accuracy": 0.22242391854524612, + "num_tokens": 12091905.0, + "step": 5385 + }, + { + "entropy": 5.520739364624023, + "epoch": 5.827474310438075, + "grad_norm": 0.98828125, + "learning_rate": 0.00025196459541357725, + "loss": 4.817, + "mean_token_accuracy": 0.22727247029542924, + "num_tokens": 12101577.0, + "step": 5390 + }, + { + "entropy": 5.555675268173218, + "epoch": 5.832882639264467, + "grad_norm": 1.078125, + "learning_rate": 0.00025153797242218604, + "loss": 5.017, + "mean_token_accuracy": 0.21263125836849212, + "num_tokens": 12112593.0, + "step": 5395 + }, + { + "entropy": 5.465591239929199, + "epoch": 5.83829096809086, + "grad_norm": 1.0625, + "learning_rate": 0.00025111143469185715, + "loss": 4.8337, + "mean_token_accuracy": 0.22807640731334686, + "num_tokens": 12122947.0, + "step": 5400 + }, + { + "entropy": 5.38767294883728, + "epoch": 5.8436992969172525, + "grad_norm": 1.03125, + "learning_rate": 0.0002506849837726299, + "loss": 4.7973, + "mean_token_accuracy": 0.23990508764982224, + "num_tokens": 12133557.0, + "step": 5405 + }, + { + "entropy": 5.5033042430877686, + "epoch": 5.849107625743645, + "grad_norm": 0.9921875, + "learning_rate": 0.0002502586212142278, + "loss": 4.9525, + "mean_token_accuracy": 0.21751385182142258, + "num_tokens": 12144735.0, + "step": 5410 + }, + { + "entropy": 5.468432903289795, + "epoch": 5.854515954570038, + "grad_norm": 1.03125, + "learning_rate": 0.00024983234856605337, + "loss": 4.9072, + "mean_token_accuracy": 0.22422076314687728, + "num_tokens": 12155786.0, + "step": 5415 + }, + { + "entropy": 5.499530363082886, + "epoch": 5.85992428339643, + "grad_norm": 0.84375, + "learning_rate": 0.00024940616737718235, + "loss": 5.0033, + "mean_token_accuracy": 0.21500488370656967, + "num_tokens": 12168846.0, + "step": 5420 + }, + { + "entropy": 5.475531673431396, + "epoch": 5.865332612222823, + "grad_norm": 0.98828125, + "learning_rate": 0.0002489800791963583, + "loss": 4.8433, + "mean_token_accuracy": 0.21648556888103485, + "num_tokens": 12179743.0, + "step": 5425 + }, + { + "entropy": 5.5550652027130125, + "epoch": 5.870740941049216, + "grad_norm": 1.0546875, + "learning_rate": 0.00024855408557198657, + "loss": 4.9396, + "mean_token_accuracy": 0.2263997510075569, + "num_tokens": 12190754.0, + "step": 5430 + }, + { + "entropy": 5.522177076339721, + "epoch": 5.876149269875609, + "grad_norm": 1.0234375, + "learning_rate": 0.000248128188052129, + "loss": 4.926, + "mean_token_accuracy": 0.2201258659362793, + "num_tokens": 12201293.0, + "step": 5435 + }, + { + "entropy": 5.500701284408569, + "epoch": 5.881557598702001, + "grad_norm": 0.87890625, + "learning_rate": 0.00024770238818449804, + "loss": 4.9843, + "mean_token_accuracy": 0.22035838961601256, + "num_tokens": 12214361.0, + "step": 5440 + }, + { + "entropy": 5.56159987449646, + "epoch": 5.886965927528394, + "grad_norm": 1.0546875, + "learning_rate": 0.00024727668751645164, + "loss": 5.0753, + "mean_token_accuracy": 0.20683244466781617, + "num_tokens": 12226766.0, + "step": 5445 + }, + { + "entropy": 5.542806959152221, + "epoch": 5.8923742563547865, + "grad_norm": 1.1640625, + "learning_rate": 0.0002468510875949868, + "loss": 4.9784, + "mean_token_accuracy": 0.22004477828741073, + "num_tokens": 12237339.0, + "step": 5450 + }, + { + "entropy": 5.454771566390991, + "epoch": 5.897782585181179, + "grad_norm": 0.95703125, + "learning_rate": 0.00024642558996673474, + "loss": 4.8806, + "mean_token_accuracy": 0.233289235830307, + "num_tokens": 12248567.0, + "step": 5455 + }, + { + "entropy": 5.475730228424072, + "epoch": 5.903190914007571, + "grad_norm": 1.0546875, + "learning_rate": 0.00024600019617795465, + "loss": 4.8715, + "mean_token_accuracy": 0.22850371301174163, + "num_tokens": 12258968.0, + "step": 5460 + }, + { + "entropy": 5.529723405838013, + "epoch": 5.908599242833964, + "grad_norm": 0.94140625, + "learning_rate": 0.0002455749077745288, + "loss": 4.9315, + "mean_token_accuracy": 0.22943497598171234, + "num_tokens": 12271233.0, + "step": 5465 + }, + { + "entropy": 5.481137132644653, + "epoch": 5.914007571660357, + "grad_norm": 1.03125, + "learning_rate": 0.00024514972630195603, + "loss": 4.894, + "mean_token_accuracy": 0.21706456691026688, + "num_tokens": 12280634.0, + "step": 5470 + }, + { + "entropy": 5.46374282836914, + "epoch": 5.91941590048675, + "grad_norm": 0.9765625, + "learning_rate": 0.0002447246533053469, + "loss": 4.9344, + "mean_token_accuracy": 0.2250108987092972, + "num_tokens": 12292282.0, + "step": 5475 + }, + { + "entropy": 5.479931974411011, + "epoch": 5.924824229313142, + "grad_norm": 1.0703125, + "learning_rate": 0.00024429969032941756, + "loss": 4.9556, + "mean_token_accuracy": 0.2212103560566902, + "num_tokens": 12303940.0, + "step": 5480 + }, + { + "entropy": 5.509561538696289, + "epoch": 5.930232558139535, + "grad_norm": 1.1171875, + "learning_rate": 0.00024387483891848456, + "loss": 4.9408, + "mean_token_accuracy": 0.2256838709115982, + "num_tokens": 12315400.0, + "step": 5485 + }, + { + "entropy": 5.5094701766967775, + "epoch": 5.935640886965928, + "grad_norm": 0.91796875, + "learning_rate": 0.00024345010061645889, + "loss": 4.9519, + "mean_token_accuracy": 0.21615981161594391, + "num_tokens": 12327462.0, + "step": 5490 + }, + { + "entropy": 5.516644716262817, + "epoch": 5.9410492157923205, + "grad_norm": 0.9296875, + "learning_rate": 0.00024302547696684047, + "loss": 4.9017, + "mean_token_accuracy": 0.22320225536823274, + "num_tokens": 12338966.0, + "step": 5495 + }, + { + "entropy": 5.397993087768555, + "epoch": 5.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00024260096951271253, + "loss": 4.8006, + "mean_token_accuracy": 0.228230282664299, + "num_tokens": 12349663.0, + "step": 5500 + }, + { + "epoch": 5.9464575446187125, + "eval_entropy": 5.341046702861786, + "eval_loss": 5.824895858764648, + "eval_mean_token_accuracy": 0.18257011164995757, + "eval_num_tokens": 12349663.0, + "eval_runtime": 3.5324, + "eval_samples_per_second": 995.086, + "eval_steps_per_second": 124.563, + "step": 5500 + }, + { + "entropy": 5.416959285736084, + "epoch": 5.951865873445105, + "grad_norm": 0.890625, + "learning_rate": 0.00024217657979673634, + "loss": 4.8534, + "mean_token_accuracy": 0.22373966872692108, + "num_tokens": 12361304.0, + "step": 5505 + }, + { + "entropy": 5.374241685867309, + "epoch": 5.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.00024175230936114507, + "loss": 4.8172, + "mean_token_accuracy": 0.23078879565000535, + "num_tokens": 12372162.0, + "step": 5510 + }, + { + "entropy": 5.468687248229981, + "epoch": 5.962682531097891, + "grad_norm": 0.91015625, + "learning_rate": 0.0002413281597477384, + "loss": 4.8529, + "mean_token_accuracy": 0.22456154525279998, + "num_tokens": 12383916.0, + "step": 5515 + }, + { + "entropy": 5.549963569641113, + "epoch": 5.968090859924283, + "grad_norm": 1.0859375, + "learning_rate": 0.00024090413249787696, + "loss": 4.9632, + "mean_token_accuracy": 0.21773760467767717, + "num_tokens": 12394787.0, + "step": 5520 + }, + { + "entropy": 5.505368185043335, + "epoch": 5.973499188750676, + "grad_norm": 0.99609375, + "learning_rate": 0.0002404802291524768, + "loss": 4.8776, + "mean_token_accuracy": 0.23071094900369643, + "num_tokens": 12405905.0, + "step": 5525 + }, + { + "entropy": 5.4695710182189945, + "epoch": 5.978907517577069, + "grad_norm": 0.9140625, + "learning_rate": 0.00024005645125200375, + "loss": 4.9449, + "mean_token_accuracy": 0.2118888556957245, + "num_tokens": 12416785.0, + "step": 5530 + }, + { + "entropy": 5.4431023597717285, + "epoch": 5.984315846403462, + "grad_norm": 0.96484375, + "learning_rate": 0.0002396328003364675, + "loss": 4.8562, + "mean_token_accuracy": 0.22554307878017427, + "num_tokens": 12427900.0, + "step": 5535 + }, + { + "entropy": 5.566122770309448, + "epoch": 5.9897241752298545, + "grad_norm": 0.9765625, + "learning_rate": 0.00023920927794541665, + "loss": 4.9858, + "mean_token_accuracy": 0.22574359327554702, + "num_tokens": 12439823.0, + "step": 5540 + }, + { + "entropy": 5.481858730316162, + "epoch": 5.995132504056246, + "grad_norm": 0.97265625, + "learning_rate": 0.0002387858856179324, + "loss": 4.9084, + "mean_token_accuracy": 0.21990197598934175, + "num_tokens": 12450988.0, + "step": 5545 + }, + { + "entropy": 5.593845897250706, + "epoch": 6.0, + "grad_norm": 1.59375, + "learning_rate": 0.00023836262489262361, + "loss": 4.9818, + "mean_token_accuracy": 0.2241312480635113, + "num_tokens": 12461334.0, + "step": 5550 + }, + { + "entropy": 5.482817697525024, + "epoch": 6.005408328826393, + "grad_norm": 1.0234375, + "learning_rate": 0.00023793949730762049, + "loss": 4.711, + "mean_token_accuracy": 0.23801302611827851, + "num_tokens": 12473206.0, + "step": 5555 + }, + { + "entropy": 5.48074688911438, + "epoch": 6.010816657652786, + "grad_norm": 0.96484375, + "learning_rate": 0.00023751650440056982, + "loss": 4.8304, + "mean_token_accuracy": 0.22817761451005936, + "num_tokens": 12484247.0, + "step": 5560 + }, + { + "entropy": 5.4692436218261715, + "epoch": 6.016224986479178, + "grad_norm": 1.015625, + "learning_rate": 0.00023709364770862885, + "loss": 4.7426, + "mean_token_accuracy": 0.23947408199310302, + "num_tokens": 12495234.0, + "step": 5565 + }, + { + "entropy": 5.456657409667969, + "epoch": 6.0216333153055706, + "grad_norm": 1.1015625, + "learning_rate": 0.00023667092876845976, + "loss": 4.855, + "mean_token_accuracy": 0.2362171694636345, + "num_tokens": 12506516.0, + "step": 5570 + }, + { + "entropy": 5.474831008911133, + "epoch": 6.027041644131963, + "grad_norm": 1.046875, + "learning_rate": 0.0002362483491162239, + "loss": 4.7585, + "mean_token_accuracy": 0.23608235716819764, + "num_tokens": 12517238.0, + "step": 5575 + }, + { + "entropy": 5.505292367935181, + "epoch": 6.032449972958356, + "grad_norm": 1.0, + "learning_rate": 0.00023582591028757706, + "loss": 4.7658, + "mean_token_accuracy": 0.2349627658724785, + "num_tokens": 12527212.0, + "step": 5580 + }, + { + "entropy": 5.498833179473877, + "epoch": 6.037858301784748, + "grad_norm": 1.140625, + "learning_rate": 0.00023540361381766274, + "loss": 4.7521, + "mean_token_accuracy": 0.24202902466058732, + "num_tokens": 12537939.0, + "step": 5585 + }, + { + "entropy": 5.450468730926514, + "epoch": 6.043266630611141, + "grad_norm": 1.1015625, + "learning_rate": 0.0002349814612411073, + "loss": 4.7608, + "mean_token_accuracy": 0.2359851762652397, + "num_tokens": 12547987.0, + "step": 5590 + }, + { + "entropy": 5.448811483383179, + "epoch": 6.048674959437534, + "grad_norm": 1.078125, + "learning_rate": 0.00023455945409201411, + "loss": 4.7812, + "mean_token_accuracy": 0.22653527408838273, + "num_tokens": 12558505.0, + "step": 5595 + }, + { + "entropy": 5.464963436126709, + "epoch": 6.054083288263927, + "grad_norm": 0.94921875, + "learning_rate": 0.00023413759390395828, + "loss": 4.7156, + "mean_token_accuracy": 0.2361931696534157, + "num_tokens": 12569748.0, + "step": 5600 + }, + { + "entropy": 5.405935955047608, + "epoch": 6.059491617090319, + "grad_norm": 0.97265625, + "learning_rate": 0.0002337158822099807, + "loss": 4.6811, + "mean_token_accuracy": 0.23703676611185073, + "num_tokens": 12581420.0, + "step": 5605 + }, + { + "entropy": 5.496515464782715, + "epoch": 6.064899945916712, + "grad_norm": 0.97265625, + "learning_rate": 0.0002332943205425825, + "loss": 4.7871, + "mean_token_accuracy": 0.23721451163291932, + "num_tokens": 12593781.0, + "step": 5610 + }, + { + "entropy": 5.41494345664978, + "epoch": 6.0703082747431045, + "grad_norm": 0.96875, + "learning_rate": 0.00023287291043371978, + "loss": 4.7303, + "mean_token_accuracy": 0.23353902548551558, + "num_tokens": 12606264.0, + "step": 5615 + }, + { + "entropy": 5.530503511428833, + "epoch": 6.075716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.00023245165341479796, + "loss": 4.7879, + "mean_token_accuracy": 0.23578621298074723, + "num_tokens": 12617419.0, + "step": 5620 + }, + { + "entropy": 5.488958168029785, + "epoch": 6.081124932395889, + "grad_norm": 0.9921875, + "learning_rate": 0.00023203055101666593, + "loss": 4.7215, + "mean_token_accuracy": 0.23366791605949402, + "num_tokens": 12628628.0, + "step": 5625 + }, + { + "entropy": 5.430446004867553, + "epoch": 6.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 0.0002316096047696108, + "loss": 4.7062, + "mean_token_accuracy": 0.236600761115551, + "num_tokens": 12638375.0, + "step": 5630 + }, + { + "entropy": 5.397326183319092, + "epoch": 6.091941590048675, + "grad_norm": 1.0078125, + "learning_rate": 0.0002311888162033522, + "loss": 4.7394, + "mean_token_accuracy": 0.22856123596429825, + "num_tokens": 12649174.0, + "step": 5635 + }, + { + "entropy": 5.44256558418274, + "epoch": 6.097349918875068, + "grad_norm": 1.1171875, + "learning_rate": 0.00023076818684703682, + "loss": 4.699, + "mean_token_accuracy": 0.24027512669563295, + "num_tokens": 12659454.0, + "step": 5640 + }, + { + "entropy": 5.453388214111328, + "epoch": 6.10275824770146, + "grad_norm": 0.890625, + "learning_rate": 0.00023034771822923268, + "loss": 4.7424, + "mean_token_accuracy": 0.23804700821638108, + "num_tokens": 12672093.0, + "step": 5645 + }, + { + "entropy": 5.454080533981323, + "epoch": 6.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0002299274118779236, + "loss": 4.785, + "mean_token_accuracy": 0.2312723308801651, + "num_tokens": 12683628.0, + "step": 5650 + }, + { + "entropy": 5.4466057300567625, + "epoch": 6.113574905354246, + "grad_norm": 1.046875, + "learning_rate": 0.00022950726932050386, + "loss": 4.7334, + "mean_token_accuracy": 0.23570535182952881, + "num_tokens": 12694726.0, + "step": 5655 + }, + { + "entropy": 5.5058012962341305, + "epoch": 6.1189832341806385, + "grad_norm": 1.0234375, + "learning_rate": 0.00022908729208377267, + "loss": 4.7932, + "mean_token_accuracy": 0.23238887786865234, + "num_tokens": 12705292.0, + "step": 5660 + }, + { + "entropy": 5.484908533096314, + "epoch": 6.1243915630070305, + "grad_norm": 0.96484375, + "learning_rate": 0.00022866748169392815, + "loss": 4.7849, + "mean_token_accuracy": 0.23078074902296067, + "num_tokens": 12717721.0, + "step": 5665 + }, + { + "entropy": 5.498049545288086, + "epoch": 6.129799891833423, + "grad_norm": 1.1171875, + "learning_rate": 0.00022824783967656208, + "loss": 4.7845, + "mean_token_accuracy": 0.2278717815876007, + "num_tokens": 12728360.0, + "step": 5670 + }, + { + "entropy": 5.479033756256103, + "epoch": 6.135208220659816, + "grad_norm": 0.99609375, + "learning_rate": 0.00022782836755665475, + "loss": 4.8063, + "mean_token_accuracy": 0.23036560267210007, + "num_tokens": 12739771.0, + "step": 5675 + }, + { + "entropy": 5.458578395843506, + "epoch": 6.140616549486209, + "grad_norm": 0.9921875, + "learning_rate": 0.00022740906685856876, + "loss": 4.7555, + "mean_token_accuracy": 0.23326312750577927, + "num_tokens": 12750024.0, + "step": 5680 + }, + { + "entropy": 5.433383131027222, + "epoch": 6.146024878312601, + "grad_norm": 1.03125, + "learning_rate": 0.00022698993910604383, + "loss": 4.7345, + "mean_token_accuracy": 0.23391510397195817, + "num_tokens": 12761160.0, + "step": 5685 + }, + { + "entropy": 5.495377540588379, + "epoch": 6.151433207138994, + "grad_norm": 1.0, + "learning_rate": 0.000226570985822191, + "loss": 4.7313, + "mean_token_accuracy": 0.24146672785282136, + "num_tokens": 12773043.0, + "step": 5690 + }, + { + "entropy": 5.40164361000061, + "epoch": 6.156841535965387, + "grad_norm": 0.984375, + "learning_rate": 0.00022615220852948765, + "loss": 4.7302, + "mean_token_accuracy": 0.23376860320568085, + "num_tokens": 12783479.0, + "step": 5695 + }, + { + "entropy": 5.515926313400269, + "epoch": 6.16224986479178, + "grad_norm": 0.93359375, + "learning_rate": 0.00022573360874977145, + "loss": 4.8247, + "mean_token_accuracy": 0.23175337463617324, + "num_tokens": 12794889.0, + "step": 5700 + }, + { + "entropy": 5.480621385574341, + "epoch": 6.167658193618172, + "grad_norm": 1.0625, + "learning_rate": 0.00022531518800423484, + "loss": 4.7982, + "mean_token_accuracy": 0.22605834305286407, + "num_tokens": 12806161.0, + "step": 5705 + }, + { + "entropy": 5.527550983428955, + "epoch": 6.173066522444564, + "grad_norm": 0.9609375, + "learning_rate": 0.0002248969478134199, + "loss": 4.8218, + "mean_token_accuracy": 0.23102053105831147, + "num_tokens": 12817829.0, + "step": 5710 + }, + { + "entropy": 5.474001789093018, + "epoch": 6.178474851270957, + "grad_norm": 1.15625, + "learning_rate": 0.00022447888969721232, + "loss": 4.8695, + "mean_token_accuracy": 0.22121107429265977, + "num_tokens": 12828212.0, + "step": 5715 + }, + { + "entropy": 5.518413400650024, + "epoch": 6.18388318009735, + "grad_norm": 1.109375, + "learning_rate": 0.00022406101517483636, + "loss": 4.7935, + "mean_token_accuracy": 0.23179168701171876, + "num_tokens": 12840058.0, + "step": 5720 + }, + { + "entropy": 5.461467647552491, + "epoch": 6.189291508923742, + "grad_norm": 0.88671875, + "learning_rate": 0.00022364332576484897, + "loss": 4.7839, + "mean_token_accuracy": 0.230883426964283, + "num_tokens": 12852833.0, + "step": 5725 + }, + { + "entropy": 5.48510422706604, + "epoch": 6.194699837750135, + "grad_norm": 1.0078125, + "learning_rate": 0.0002232258229851345, + "loss": 4.7751, + "mean_token_accuracy": 0.23518833070993422, + "num_tokens": 12863487.0, + "step": 5730 + }, + { + "entropy": 5.440191650390625, + "epoch": 6.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00022280850835289885, + "loss": 4.6923, + "mean_token_accuracy": 0.23732944577932358, + "num_tokens": 12873952.0, + "step": 5735 + }, + { + "entropy": 5.431076765060425, + "epoch": 6.205516495402921, + "grad_norm": 1.140625, + "learning_rate": 0.00022239138338466452, + "loss": 4.7793, + "mean_token_accuracy": 0.23101767003536225, + "num_tokens": 12884462.0, + "step": 5740 + }, + { + "entropy": 5.446973085403442, + "epoch": 6.210924824229313, + "grad_norm": 1.078125, + "learning_rate": 0.00022197444959626451, + "loss": 4.727, + "mean_token_accuracy": 0.23917102962732315, + "num_tokens": 12894996.0, + "step": 5745 + }, + { + "entropy": 5.430508470535278, + "epoch": 6.2163331530557056, + "grad_norm": 1.0625, + "learning_rate": 0.00022155770850283723, + "loss": 4.7103, + "mean_token_accuracy": 0.2357731357216835, + "num_tokens": 12906256.0, + "step": 5750 + }, + { + "entropy": 5.462933015823364, + "epoch": 6.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.00022114116161882065, + "loss": 4.8337, + "mean_token_accuracy": 0.2271495670080185, + "num_tokens": 12918738.0, + "step": 5755 + }, + { + "entropy": 5.434539031982422, + "epoch": 6.227149810708491, + "grad_norm": 1.0, + "learning_rate": 0.00022072481045794733, + "loss": 4.7419, + "mean_token_accuracy": 0.2339697703719139, + "num_tokens": 12929918.0, + "step": 5760 + }, + { + "entropy": 5.537877035140991, + "epoch": 6.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.00022030865653323823, + "loss": 4.8251, + "mean_token_accuracy": 0.23042406886816025, + "num_tokens": 12941427.0, + "step": 5765 + }, + { + "entropy": 5.459821033477783, + "epoch": 6.237966468361276, + "grad_norm": 0.9921875, + "learning_rate": 0.0002198927013569977, + "loss": 4.755, + "mean_token_accuracy": 0.23522372245788575, + "num_tokens": 12952889.0, + "step": 5770 + }, + { + "entropy": 5.45594425201416, + "epoch": 6.243374797187669, + "grad_norm": 1.0859375, + "learning_rate": 0.0002194769464408076, + "loss": 4.7728, + "mean_token_accuracy": 0.23804499059915543, + "num_tokens": 12962928.0, + "step": 5775 + }, + { + "entropy": 5.472302389144898, + "epoch": 6.248783126014062, + "grad_norm": 1.1484375, + "learning_rate": 0.0002190613932955226, + "loss": 4.7282, + "mean_token_accuracy": 0.24171511083841324, + "num_tokens": 12972901.0, + "step": 5780 + }, + { + "entropy": 5.48187289237976, + "epoch": 6.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00021864604343126365, + "loss": 4.8139, + "mean_token_accuracy": 0.23290316462516786, + "num_tokens": 12985296.0, + "step": 5785 + }, + { + "entropy": 5.538161706924439, + "epoch": 6.259599783666847, + "grad_norm": 0.9921875, + "learning_rate": 0.00021823089835741312, + "loss": 4.881, + "mean_token_accuracy": 0.22790266275405885, + "num_tokens": 12997069.0, + "step": 5790 + }, + { + "entropy": 5.485204887390137, + "epoch": 6.2650081124932395, + "grad_norm": 1.046875, + "learning_rate": 0.000217815959582609, + "loss": 4.7595, + "mean_token_accuracy": 0.23940668255090714, + "num_tokens": 13007147.0, + "step": 5795 + }, + { + "entropy": 5.438343048095703, + "epoch": 6.270416441319632, + "grad_norm": 0.984375, + "learning_rate": 0.00021740122861473992, + "loss": 4.7979, + "mean_token_accuracy": 0.23777374029159545, + "num_tokens": 13019084.0, + "step": 5800 + }, + { + "entropy": 5.5151256084442135, + "epoch": 6.275824770146025, + "grad_norm": 0.93359375, + "learning_rate": 0.00021698670696093932, + "loss": 4.8021, + "mean_token_accuracy": 0.23370311856269838, + "num_tokens": 13030751.0, + "step": 5805 + }, + { + "entropy": 5.4750467300415036, + "epoch": 6.281233098972417, + "grad_norm": 0.98046875, + "learning_rate": 0.00021657239612757963, + "loss": 4.7488, + "mean_token_accuracy": 0.23250595033168792, + "num_tokens": 13042731.0, + "step": 5810 + }, + { + "entropy": 5.464777565002441, + "epoch": 6.28664142779881, + "grad_norm": 1.0546875, + "learning_rate": 0.00021615829762026734, + "loss": 4.7205, + "mean_token_accuracy": 0.23873378783464433, + "num_tokens": 13053442.0, + "step": 5815 + }, + { + "entropy": 5.484056568145752, + "epoch": 6.292049756625203, + "grad_norm": 1.125, + "learning_rate": 0.00021574441294383752, + "loss": 4.7793, + "mean_token_accuracy": 0.2335501179099083, + "num_tokens": 13063911.0, + "step": 5820 + }, + { + "entropy": 5.4915848731994625, + "epoch": 6.297458085451596, + "grad_norm": 0.91796875, + "learning_rate": 0.00021533074360234806, + "loss": 4.8487, + "mean_token_accuracy": 0.22842135578393935, + "num_tokens": 13075887.0, + "step": 5825 + }, + { + "entropy": 5.432464218139648, + "epoch": 6.302866414277988, + "grad_norm": 1.0859375, + "learning_rate": 0.00021491729109907414, + "loss": 4.7111, + "mean_token_accuracy": 0.24290824681520462, + "num_tokens": 13087320.0, + "step": 5830 + }, + { + "entropy": 5.4360270500183105, + "epoch": 6.308274743104381, + "grad_norm": 1.0078125, + "learning_rate": 0.00021450405693650333, + "loss": 4.7483, + "mean_token_accuracy": 0.2368444621562958, + "num_tokens": 13099078.0, + "step": 5835 + }, + { + "entropy": 5.488501501083374, + "epoch": 6.3136830719307735, + "grad_norm": 1.0078125, + "learning_rate": 0.00021409104261632932, + "loss": 4.8415, + "mean_token_accuracy": 0.23506940752267838, + "num_tokens": 13111909.0, + "step": 5840 + }, + { + "entropy": 5.4188000679016115, + "epoch": 6.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.00021367824963944727, + "loss": 4.736, + "mean_token_accuracy": 0.2346210688352585, + "num_tokens": 13123297.0, + "step": 5845 + }, + { + "entropy": 5.407528495788574, + "epoch": 6.324499729583558, + "grad_norm": 1.0078125, + "learning_rate": 0.00021326567950594766, + "loss": 4.7807, + "mean_token_accuracy": 0.23231735378503798, + "num_tokens": 13133959.0, + "step": 5850 + }, + { + "entropy": 5.401265668869018, + "epoch": 6.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.0002128533337151114, + "loss": 4.6422, + "mean_token_accuracy": 0.24409369081258775, + "num_tokens": 13144858.0, + "step": 5855 + }, + { + "entropy": 5.4279073715209964, + "epoch": 6.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.0002124412137654041, + "loss": 4.7921, + "mean_token_accuracy": 0.2318548381328583, + "num_tokens": 13156437.0, + "step": 5860 + }, + { + "entropy": 5.446533298492431, + "epoch": 6.340724716062737, + "grad_norm": 1.046875, + "learning_rate": 0.00021202932115447056, + "loss": 4.7419, + "mean_token_accuracy": 0.24057282507419586, + "num_tokens": 13166860.0, + "step": 5865 + }, + { + "entropy": 5.4611639976501465, + "epoch": 6.346133044889129, + "grad_norm": 1.078125, + "learning_rate": 0.00021161765737912937, + "loss": 4.8228, + "mean_token_accuracy": 0.23280464708805085, + "num_tokens": 13178563.0, + "step": 5870 + }, + { + "entropy": 5.496692562103272, + "epoch": 6.351541373715522, + "grad_norm": 1.0703125, + "learning_rate": 0.00021120622393536775, + "loss": 4.7578, + "mean_token_accuracy": 0.22650425583124162, + "num_tokens": 13189915.0, + "step": 5875 + }, + { + "entropy": 5.509976005554199, + "epoch": 6.356949702541915, + "grad_norm": 1.125, + "learning_rate": 0.00021079502231833585, + "loss": 4.7769, + "mean_token_accuracy": 0.2329890564084053, + "num_tokens": 13201767.0, + "step": 5880 + }, + { + "entropy": 5.455395841598511, + "epoch": 6.3623580313683075, + "grad_norm": 1.1484375, + "learning_rate": 0.00021038405402234116, + "loss": 4.7817, + "mean_token_accuracy": 0.23451150208711624, + "num_tokens": 13212265.0, + "step": 5885 + }, + { + "entropy": 5.424297761917114, + "epoch": 6.367766360194699, + "grad_norm": 0.94140625, + "learning_rate": 0.0002099733205408435, + "loss": 4.8023, + "mean_token_accuracy": 0.23045464754104614, + "num_tokens": 13223503.0, + "step": 5890 + }, + { + "entropy": 5.491450643539428, + "epoch": 6.373174689021092, + "grad_norm": 1.1015625, + "learning_rate": 0.0002095628233664492, + "loss": 4.7904, + "mean_token_accuracy": 0.22897710502147675, + "num_tokens": 13234797.0, + "step": 5895 + }, + { + "entropy": 5.440606880187988, + "epoch": 6.378583017847485, + "grad_norm": 1.046875, + "learning_rate": 0.0002091525639909061, + "loss": 4.7548, + "mean_token_accuracy": 0.2377723589539528, + "num_tokens": 13246421.0, + "step": 5900 + }, + { + "entropy": 5.4440460205078125, + "epoch": 6.383991346673878, + "grad_norm": 0.96875, + "learning_rate": 0.00020874254390509757, + "loss": 4.7624, + "mean_token_accuracy": 0.23135251700878143, + "num_tokens": 13256747.0, + "step": 5905 + }, + { + "entropy": 5.482359123229981, + "epoch": 6.38939967550027, + "grad_norm": 1.1484375, + "learning_rate": 0.00020833276459903766, + "loss": 4.74, + "mean_token_accuracy": 0.23761427402496338, + "num_tokens": 13267620.0, + "step": 5910 + }, + { + "entropy": 5.496868753433228, + "epoch": 6.394808004326663, + "grad_norm": 1.03125, + "learning_rate": 0.0002079232275618651, + "loss": 4.7261, + "mean_token_accuracy": 0.23711277842521666, + "num_tokens": 13277818.0, + "step": 5915 + }, + { + "entropy": 5.354647064208985, + "epoch": 6.400216333153056, + "grad_norm": 1.0546875, + "learning_rate": 0.0002075139342818388, + "loss": 4.6986, + "mean_token_accuracy": 0.2438313126564026, + "num_tokens": 13289905.0, + "step": 5920 + }, + { + "entropy": 5.426370525360108, + "epoch": 6.405624661979449, + "grad_norm": 0.92578125, + "learning_rate": 0.00020710488624633118, + "loss": 4.6988, + "mean_token_accuracy": 0.23948602080345155, + "num_tokens": 13302465.0, + "step": 5925 + }, + { + "entropy": 5.454558897018432, + "epoch": 6.411032990805841, + "grad_norm": 1.078125, + "learning_rate": 0.00020669608494182384, + "loss": 4.7905, + "mean_token_accuracy": 0.2280614882707596, + "num_tokens": 13314366.0, + "step": 5930 + }, + { + "entropy": 5.339557838439942, + "epoch": 6.416441319632233, + "grad_norm": 1.0078125, + "learning_rate": 0.00020628753185390164, + "loss": 4.639, + "mean_token_accuracy": 0.24252013713121415, + "num_tokens": 13324981.0, + "step": 5935 + }, + { + "entropy": 5.456610202789307, + "epoch": 6.421849648458626, + "grad_norm": 1.015625, + "learning_rate": 0.0002058792284672475, + "loss": 4.7473, + "mean_token_accuracy": 0.234878046810627, + "num_tokens": 13335705.0, + "step": 5940 + }, + { + "entropy": 5.3233154296875, + "epoch": 6.427257977285019, + "grad_norm": 1.015625, + "learning_rate": 0.0002054711762656369, + "loss": 4.6921, + "mean_token_accuracy": 0.23819227814674376, + "num_tokens": 13346515.0, + "step": 5945 + }, + { + "entropy": 5.402464580535889, + "epoch": 6.432666306111411, + "grad_norm": 1.0078125, + "learning_rate": 0.00020506337673193236, + "loss": 4.7412, + "mean_token_accuracy": 0.23467027246952057, + "num_tokens": 13357780.0, + "step": 5950 + }, + { + "entropy": 5.4471968650817875, + "epoch": 6.438074634937804, + "grad_norm": 0.98828125, + "learning_rate": 0.00020465583134807836, + "loss": 4.7435, + "mean_token_accuracy": 0.24032192826271057, + "num_tokens": 13369549.0, + "step": 5955 + }, + { + "entropy": 5.520180511474609, + "epoch": 6.443482963764197, + "grad_norm": 1.0390625, + "learning_rate": 0.00020424854159509587, + "loss": 4.8087, + "mean_token_accuracy": 0.2298721730709076, + "num_tokens": 13380259.0, + "step": 5960 + }, + { + "entropy": 5.495610284805298, + "epoch": 6.44889129259059, + "grad_norm": 1.171875, + "learning_rate": 0.0002038415089530767, + "loss": 4.8364, + "mean_token_accuracy": 0.2270108386874199, + "num_tokens": 13392049.0, + "step": 5965 + }, + { + "entropy": 5.467788505554199, + "epoch": 6.4542996214169825, + "grad_norm": 1.09375, + "learning_rate": 0.00020343473490117846, + "loss": 4.7871, + "mean_token_accuracy": 0.22844729274511338, + "num_tokens": 13403874.0, + "step": 5970 + }, + { + "entropy": 5.432657051086426, + "epoch": 6.4597079502433745, + "grad_norm": 1.1171875, + "learning_rate": 0.00020302822091761884, + "loss": 4.7664, + "mean_token_accuracy": 0.2360194906592369, + "num_tokens": 13415194.0, + "step": 5975 + }, + { + "entropy": 5.463835048675537, + "epoch": 6.465116279069767, + "grad_norm": 1.203125, + "learning_rate": 0.00020262196847967091, + "loss": 4.7913, + "mean_token_accuracy": 0.23191041946411134, + "num_tokens": 13425159.0, + "step": 5980 + }, + { + "entropy": 5.454825782775879, + "epoch": 6.47052460789616, + "grad_norm": 0.98828125, + "learning_rate": 0.00020221597906365667, + "loss": 4.7798, + "mean_token_accuracy": 0.23226822465658187, + "num_tokens": 13437279.0, + "step": 5985 + }, + { + "entropy": 5.478639888763428, + "epoch": 6.475932936722553, + "grad_norm": 0.95703125, + "learning_rate": 0.00020181025414494285, + "loss": 4.7898, + "mean_token_accuracy": 0.2360480844974518, + "num_tokens": 13449170.0, + "step": 5990 + }, + { + "entropy": 5.514584064483643, + "epoch": 6.481341265548945, + "grad_norm": 1.0546875, + "learning_rate": 0.0002014047951979344, + "loss": 4.8438, + "mean_token_accuracy": 0.22370945364236833, + "num_tokens": 13460216.0, + "step": 5995 + }, + { + "entropy": 5.464205169677735, + "epoch": 6.486749594375338, + "grad_norm": 1.0625, + "learning_rate": 0.0002009996036960704, + "loss": 4.7955, + "mean_token_accuracy": 0.2337394878268242, + "num_tokens": 13470468.0, + "step": 6000 + }, + { + "epoch": 6.486749594375338, + "eval_entropy": 5.356367090615359, + "eval_loss": 5.836918830871582, + "eval_mean_token_accuracy": 0.18327153573997995, + "eval_num_tokens": 13470468.0, + "eval_runtime": 3.5524, + "eval_samples_per_second": 989.467, + "eval_steps_per_second": 123.859, + "step": 6000 + }, + { + "entropy": 5.4838872909545895, + "epoch": 6.492157923201731, + "grad_norm": 0.9765625, + "learning_rate": 0.00020059468111181757, + "loss": 4.8355, + "mean_token_accuracy": 0.2325873091816902, + "num_tokens": 13482690.0, + "step": 6005 + }, + { + "entropy": 5.377634334564209, + "epoch": 6.497566252028124, + "grad_norm": 1.0, + "learning_rate": 0.00020019002891666555, + "loss": 4.7039, + "mean_token_accuracy": 0.24070921093225478, + "num_tokens": 13494806.0, + "step": 6010 + }, + { + "entropy": 5.371237802505493, + "epoch": 6.502974580854516, + "grad_norm": 1.03125, + "learning_rate": 0.00019978564858112125, + "loss": 4.7015, + "mean_token_accuracy": 0.24223154485225679, + "num_tokens": 13506968.0, + "step": 6015 + }, + { + "entropy": 5.492704820632935, + "epoch": 6.5083829096809085, + "grad_norm": 1.03125, + "learning_rate": 0.00019938154157470378, + "loss": 4.8381, + "mean_token_accuracy": 0.2364162266254425, + "num_tokens": 13518817.0, + "step": 6020 + }, + { + "entropy": 5.4859953880310055, + "epoch": 6.513791238507301, + "grad_norm": 1.0859375, + "learning_rate": 0.00019897770936593912, + "loss": 4.7452, + "mean_token_accuracy": 0.24185479283332825, + "num_tokens": 13529054.0, + "step": 6025 + }, + { + "entropy": 5.4339841365814205, + "epoch": 6.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.0001985741534223543, + "loss": 4.7583, + "mean_token_accuracy": 0.23412617295980453, + "num_tokens": 13540462.0, + "step": 6030 + }, + { + "entropy": 5.528876304626465, + "epoch": 6.524607896160086, + "grad_norm": 1.1640625, + "learning_rate": 0.00019817087521047244, + "loss": 4.8767, + "mean_token_accuracy": 0.22286273241043092, + "num_tokens": 13551949.0, + "step": 6035 + }, + { + "entropy": 5.508295059204102, + "epoch": 6.530016224986479, + "grad_norm": 1.0078125, + "learning_rate": 0.00019776787619580767, + "loss": 4.8043, + "mean_token_accuracy": 0.23924179673194884, + "num_tokens": 13562567.0, + "step": 6040 + }, + { + "entropy": 5.43859338760376, + "epoch": 6.535424553812872, + "grad_norm": 1.1484375, + "learning_rate": 0.0001973651578428593, + "loss": 4.7628, + "mean_token_accuracy": 0.23885137885808944, + "num_tokens": 13573696.0, + "step": 6045 + }, + { + "entropy": 5.490781259536743, + "epoch": 6.540832882639265, + "grad_norm": 1.046875, + "learning_rate": 0.00019696272161510663, + "loss": 4.8612, + "mean_token_accuracy": 0.22521820068359374, + "num_tokens": 13585941.0, + "step": 6050 + }, + { + "entropy": 5.4247150897979735, + "epoch": 6.546241211465657, + "grad_norm": 1.09375, + "learning_rate": 0.00019656056897500408, + "loss": 4.6436, + "mean_token_accuracy": 0.2483742877840996, + "num_tokens": 13597665.0, + "step": 6055 + }, + { + "entropy": 5.382246017456055, + "epoch": 6.55164954029205, + "grad_norm": 1.15625, + "learning_rate": 0.00019615870138397506, + "loss": 4.7428, + "mean_token_accuracy": 0.229461170732975, + "num_tokens": 13608732.0, + "step": 6060 + }, + { + "entropy": 5.559137582778931, + "epoch": 6.5570578691184425, + "grad_norm": 1.1328125, + "learning_rate": 0.0001957571203024075, + "loss": 4.8794, + "mean_token_accuracy": 0.2277083858847618, + "num_tokens": 13620710.0, + "step": 6065 + }, + { + "entropy": 5.4016365051269535, + "epoch": 6.562466197944835, + "grad_norm": 1.0234375, + "learning_rate": 0.00019535582718964773, + "loss": 4.7, + "mean_token_accuracy": 0.22991207093000413, + "num_tokens": 13632157.0, + "step": 6070 + }, + { + "entropy": 5.468547010421753, + "epoch": 6.567874526771227, + "grad_norm": 1.078125, + "learning_rate": 0.00019495482350399612, + "loss": 4.721, + "mean_token_accuracy": 0.2484972819685936, + "num_tokens": 13642833.0, + "step": 6075 + }, + { + "entropy": 5.477743625640869, + "epoch": 6.57328285559762, + "grad_norm": 1.0703125, + "learning_rate": 0.0001945541107027009, + "loss": 4.8397, + "mean_token_accuracy": 0.23110663294792175, + "num_tokens": 13654985.0, + "step": 6080 + }, + { + "entropy": 5.4450866222381595, + "epoch": 6.578691184424013, + "grad_norm": 1.046875, + "learning_rate": 0.0001941536902419533, + "loss": 4.785, + "mean_token_accuracy": 0.23091002255678178, + "num_tokens": 13666180.0, + "step": 6085 + }, + { + "entropy": 5.426376247406006, + "epoch": 6.584099513250406, + "grad_norm": 0.97265625, + "learning_rate": 0.00019375356357688206, + "loss": 4.7357, + "mean_token_accuracy": 0.24122271835803985, + "num_tokens": 13677993.0, + "step": 6090 + }, + { + "entropy": 5.533717823028565, + "epoch": 6.589507842076799, + "grad_norm": 1.203125, + "learning_rate": 0.00019335373216154862, + "loss": 4.8881, + "mean_token_accuracy": 0.23069773763418197, + "num_tokens": 13687427.0, + "step": 6095 + }, + { + "entropy": 5.422270774841309, + "epoch": 6.594916170903191, + "grad_norm": 1.1171875, + "learning_rate": 0.00019295419744894116, + "loss": 4.7115, + "mean_token_accuracy": 0.24273773580789565, + "num_tokens": 13698255.0, + "step": 6100 + }, + { + "entropy": 5.492586517333985, + "epoch": 6.600324499729584, + "grad_norm": 0.98828125, + "learning_rate": 0.00019255496089096985, + "loss": 4.8158, + "mean_token_accuracy": 0.22930402904748917, + "num_tokens": 13710471.0, + "step": 6105 + }, + { + "entropy": 5.522595310211182, + "epoch": 6.605732828555976, + "grad_norm": 1.0390625, + "learning_rate": 0.00019215602393846104, + "loss": 4.9235, + "mean_token_accuracy": 0.227778759598732, + "num_tokens": 13721605.0, + "step": 6110 + }, + { + "entropy": 5.461326646804809, + "epoch": 6.611141157382368, + "grad_norm": 1.0703125, + "learning_rate": 0.00019175738804115279, + "loss": 4.7891, + "mean_token_accuracy": 0.2319536179304123, + "num_tokens": 13732639.0, + "step": 6115 + }, + { + "entropy": 5.454809093475342, + "epoch": 6.616549486208761, + "grad_norm": 1.09375, + "learning_rate": 0.00019135905464768882, + "loss": 4.7584, + "mean_token_accuracy": 0.23282596617937087, + "num_tokens": 13743644.0, + "step": 6120 + }, + { + "entropy": 5.429327869415284, + "epoch": 6.621957815035154, + "grad_norm": 0.99609375, + "learning_rate": 0.00019096102520561344, + "loss": 4.6881, + "mean_token_accuracy": 0.24907640665769576, + "num_tokens": 13754887.0, + "step": 6125 + }, + { + "entropy": 5.459971714019775, + "epoch": 6.627366143861547, + "grad_norm": 1.125, + "learning_rate": 0.00019056330116136666, + "loss": 4.8665, + "mean_token_accuracy": 0.23227984756231307, + "num_tokens": 13766267.0, + "step": 6130 + }, + { + "entropy": 5.479209947586059, + "epoch": 6.63277447268794, + "grad_norm": 1.078125, + "learning_rate": 0.00019016588396027862, + "loss": 4.785, + "mean_token_accuracy": 0.22960527539253234, + "num_tokens": 13776532.0, + "step": 6135 + }, + { + "entropy": 5.446014642715454, + "epoch": 6.638182801514332, + "grad_norm": 1.0546875, + "learning_rate": 0.00018976877504656438, + "loss": 4.7252, + "mean_token_accuracy": 0.23457733541727066, + "num_tokens": 13787511.0, + "step": 6140 + }, + { + "entropy": 5.418573427200317, + "epoch": 6.643591130340725, + "grad_norm": 1.015625, + "learning_rate": 0.0001893719758633185, + "loss": 4.7603, + "mean_token_accuracy": 0.23951076716184616, + "num_tokens": 13799264.0, + "step": 6145 + }, + { + "entropy": 5.492339086532593, + "epoch": 6.6489994591671175, + "grad_norm": 1.0546875, + "learning_rate": 0.00018897548785251018, + "loss": 4.8451, + "mean_token_accuracy": 0.22612449377775193, + "num_tokens": 13810271.0, + "step": 6150 + }, + { + "entropy": 5.461274480819702, + "epoch": 6.6544077879935095, + "grad_norm": 1.1328125, + "learning_rate": 0.0001885793124549779, + "loss": 4.7764, + "mean_token_accuracy": 0.23858335763216018, + "num_tokens": 13820980.0, + "step": 6155 + }, + { + "entropy": 5.525525903701782, + "epoch": 6.659816116819902, + "grad_norm": 1.0390625, + "learning_rate": 0.00018818345111042383, + "loss": 4.9345, + "mean_token_accuracy": 0.2248729422688484, + "num_tokens": 13832522.0, + "step": 6160 + }, + { + "entropy": 5.425912666320801, + "epoch": 6.665224445646295, + "grad_norm": 1.1328125, + "learning_rate": 0.00018778790525740907, + "loss": 4.7193, + "mean_token_accuracy": 0.2379765972495079, + "num_tokens": 13844453.0, + "step": 6165 + }, + { + "entropy": 5.52116117477417, + "epoch": 6.670632774472688, + "grad_norm": 0.9375, + "learning_rate": 0.00018739267633334806, + "loss": 4.8558, + "mean_token_accuracy": 0.22124128192663192, + "num_tokens": 13856776.0, + "step": 6170 + }, + { + "entropy": 5.443723726272583, + "epoch": 6.676041103299081, + "grad_norm": 0.98828125, + "learning_rate": 0.00018699776577450378, + "loss": 4.7637, + "mean_token_accuracy": 0.2337685525417328, + "num_tokens": 13868050.0, + "step": 6175 + }, + { + "entropy": 5.492089128494262, + "epoch": 6.681449432125473, + "grad_norm": 1.0078125, + "learning_rate": 0.00018660317501598212, + "loss": 4.8518, + "mean_token_accuracy": 0.22990886569023133, + "num_tokens": 13879866.0, + "step": 6180 + }, + { + "entropy": 5.48423171043396, + "epoch": 6.686857760951866, + "grad_norm": 0.91796875, + "learning_rate": 0.0001862089054917266, + "loss": 4.7604, + "mean_token_accuracy": 0.22882692217826844, + "num_tokens": 13891782.0, + "step": 6185 + }, + { + "entropy": 5.454492902755737, + "epoch": 6.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.0001858149586345137, + "loss": 4.8486, + "mean_token_accuracy": 0.2267652705311775, + "num_tokens": 13903587.0, + "step": 6190 + }, + { + "entropy": 5.487734699249268, + "epoch": 6.6976744186046515, + "grad_norm": 1.1171875, + "learning_rate": 0.00018542133587594735, + "loss": 4.7559, + "mean_token_accuracy": 0.23566682040691375, + "num_tokens": 13914921.0, + "step": 6195 + }, + { + "entropy": 5.510404586791992, + "epoch": 6.7030827474310435, + "grad_norm": 1.1171875, + "learning_rate": 0.00018502803864645334, + "loss": 4.7447, + "mean_token_accuracy": 0.23118012845516206, + "num_tokens": 13925412.0, + "step": 6200 + }, + { + "entropy": 5.485953426361084, + "epoch": 6.708491076257436, + "grad_norm": 1.03125, + "learning_rate": 0.00018463506837527484, + "loss": 4.7566, + "mean_token_accuracy": 0.23713926672935487, + "num_tokens": 13935783.0, + "step": 6205 + }, + { + "entropy": 5.3922570705413815, + "epoch": 6.713899405083829, + "grad_norm": 1.2421875, + "learning_rate": 0.00018424242649046663, + "loss": 4.7659, + "mean_token_accuracy": 0.23707763850688934, + "num_tokens": 13945233.0, + "step": 6210 + }, + { + "entropy": 5.48021879196167, + "epoch": 6.719307733910222, + "grad_norm": 1.046875, + "learning_rate": 0.00018385011441889037, + "loss": 4.7698, + "mean_token_accuracy": 0.2360626772046089, + "num_tokens": 13955411.0, + "step": 6215 + }, + { + "entropy": 5.523493337631225, + "epoch": 6.724716062736614, + "grad_norm": 1.0390625, + "learning_rate": 0.00018345813358620894, + "loss": 4.9065, + "mean_token_accuracy": 0.2244351848959923, + "num_tokens": 13966607.0, + "step": 6220 + }, + { + "entropy": 5.546255588531494, + "epoch": 6.730124391563007, + "grad_norm": 0.9921875, + "learning_rate": 0.0001830664854168816, + "loss": 4.8721, + "mean_token_accuracy": 0.2342979833483696, + "num_tokens": 13978122.0, + "step": 6225 + }, + { + "entropy": 5.48574800491333, + "epoch": 6.7355327203894, + "grad_norm": 1.046875, + "learning_rate": 0.00018267517133415862, + "loss": 4.7914, + "mean_token_accuracy": 0.2378652423620224, + "num_tokens": 13989301.0, + "step": 6230 + }, + { + "entropy": 5.593584823608398, + "epoch": 6.740941049215793, + "grad_norm": 1.0625, + "learning_rate": 0.00018228419276007646, + "loss": 4.8879, + "mean_token_accuracy": 0.22455106675624847, + "num_tokens": 14000674.0, + "step": 6235 + }, + { + "entropy": 5.466882848739624, + "epoch": 6.746349378042185, + "grad_norm": 1.171875, + "learning_rate": 0.00018189355111545208, + "loss": 4.7649, + "mean_token_accuracy": 0.22919233441352843, + "num_tokens": 14012884.0, + "step": 6240 + }, + { + "entropy": 5.408292770385742, + "epoch": 6.7517577068685775, + "grad_norm": 1.0546875, + "learning_rate": 0.0001815032478198781, + "loss": 4.7689, + "mean_token_accuracy": 0.22624011039733888, + "num_tokens": 14023624.0, + "step": 6245 + }, + { + "entropy": 5.501367807388306, + "epoch": 6.75716603569497, + "grad_norm": 1.0390625, + "learning_rate": 0.00018111328429171747, + "loss": 4.8435, + "mean_token_accuracy": 0.22636697590351104, + "num_tokens": 14034873.0, + "step": 6250 + }, + { + "entropy": 5.493204069137573, + "epoch": 6.762574364521363, + "grad_norm": 1.0859375, + "learning_rate": 0.00018072366194809886, + "loss": 4.7605, + "mean_token_accuracy": 0.2378583535552025, + "num_tokens": 14045707.0, + "step": 6255 + }, + { + "entropy": 5.450195169448852, + "epoch": 6.767982693347756, + "grad_norm": 1.0546875, + "learning_rate": 0.00018033438220491055, + "loss": 4.8147, + "mean_token_accuracy": 0.24106226861476898, + "num_tokens": 14056774.0, + "step": 6260 + }, + { + "entropy": 5.395016431808472, + "epoch": 6.773391022174148, + "grad_norm": 1.1328125, + "learning_rate": 0.000179945446476796, + "loss": 4.6921, + "mean_token_accuracy": 0.24216643571853638, + "num_tokens": 14067358.0, + "step": 6265 + }, + { + "entropy": 5.455972051620483, + "epoch": 6.778799351000541, + "grad_norm": 1.0625, + "learning_rate": 0.00017955685617714867, + "loss": 4.7687, + "mean_token_accuracy": 0.23320888876914977, + "num_tokens": 14078336.0, + "step": 6270 + }, + { + "entropy": 5.525402450561524, + "epoch": 6.784207679826934, + "grad_norm": 0.98046875, + "learning_rate": 0.0001791686127181066, + "loss": 4.9202, + "mean_token_accuracy": 0.22177284806966782, + "num_tokens": 14091700.0, + "step": 6275 + }, + { + "entropy": 5.496983194351197, + "epoch": 6.789616008653326, + "grad_norm": 0.92578125, + "learning_rate": 0.00017878071751054736, + "loss": 4.837, + "mean_token_accuracy": 0.22447920441627503, + "num_tokens": 14103322.0, + "step": 6280 + }, + { + "entropy": 5.5157805442810055, + "epoch": 6.795024337479719, + "grad_norm": 1.09375, + "learning_rate": 0.00017839317196408305, + "loss": 4.8589, + "mean_token_accuracy": 0.2351175755262375, + "num_tokens": 14114758.0, + "step": 6285 + }, + { + "entropy": 5.3984763622283936, + "epoch": 6.800432666306111, + "grad_norm": 1.0625, + "learning_rate": 0.00017800597748705494, + "loss": 4.6811, + "mean_token_accuracy": 0.2468650996685028, + "num_tokens": 14124935.0, + "step": 6290 + }, + { + "entropy": 5.423747539520264, + "epoch": 6.805840995132504, + "grad_norm": 1.0, + "learning_rate": 0.0001776191354865289, + "loss": 4.7441, + "mean_token_accuracy": 0.24243067800998688, + "num_tokens": 14136102.0, + "step": 6295 + }, + { + "entropy": 5.47675724029541, + "epoch": 6.811249323958897, + "grad_norm": 1.0546875, + "learning_rate": 0.00017723264736828952, + "loss": 4.7482, + "mean_token_accuracy": 0.24305145889520646, + "num_tokens": 14147042.0, + "step": 6300 + }, + { + "entropy": 5.3783485889434814, + "epoch": 6.816657652785289, + "grad_norm": 1.140625, + "learning_rate": 0.00017684651453683554, + "loss": 4.6729, + "mean_token_accuracy": 0.24017125219106675, + "num_tokens": 14158045.0, + "step": 6305 + }, + { + "entropy": 5.419600963592529, + "epoch": 6.822065981611682, + "grad_norm": 1.125, + "learning_rate": 0.00017646073839537458, + "loss": 4.7921, + "mean_token_accuracy": 0.23383526057004927, + "num_tokens": 14169815.0, + "step": 6310 + }, + { + "entropy": 5.400470495223999, + "epoch": 6.827474310438075, + "grad_norm": 1.140625, + "learning_rate": 0.00017607532034581797, + "loss": 4.753, + "mean_token_accuracy": 0.22974225133657455, + "num_tokens": 14179965.0, + "step": 6315 + }, + { + "entropy": 5.536269664764404, + "epoch": 6.832882639264467, + "grad_norm": 1.1015625, + "learning_rate": 0.00017569026178877584, + "loss": 4.8555, + "mean_token_accuracy": 0.23882761746644973, + "num_tokens": 14191142.0, + "step": 6320 + }, + { + "entropy": 5.507011890411377, + "epoch": 6.83829096809086, + "grad_norm": 1.0390625, + "learning_rate": 0.0001753055641235519, + "loss": 4.7463, + "mean_token_accuracy": 0.2407160997390747, + "num_tokens": 14201765.0, + "step": 6325 + }, + { + "entropy": 5.463215494155884, + "epoch": 6.8436992969172525, + "grad_norm": 1.109375, + "learning_rate": 0.00017492122874813824, + "loss": 4.802, + "mean_token_accuracy": 0.23131725937128067, + "num_tokens": 14211995.0, + "step": 6330 + }, + { + "entropy": 5.5310859203338625, + "epoch": 6.849107625743645, + "grad_norm": 1.015625, + "learning_rate": 0.0001745372570592107, + "loss": 4.9147, + "mean_token_accuracy": 0.21638796478509903, + "num_tokens": 14225488.0, + "step": 6335 + }, + { + "entropy": 5.4645874977111815, + "epoch": 6.854515954570038, + "grad_norm": 1.0546875, + "learning_rate": 0.00017415365045212312, + "loss": 4.7541, + "mean_token_accuracy": 0.23150826692581178, + "num_tokens": 14237459.0, + "step": 6340 + }, + { + "entropy": 5.497331428527832, + "epoch": 6.85992428339643, + "grad_norm": 1.0625, + "learning_rate": 0.00017377041032090278, + "loss": 4.8308, + "mean_token_accuracy": 0.22778917849063873, + "num_tokens": 14248136.0, + "step": 6345 + }, + { + "entropy": 5.493479537963867, + "epoch": 6.865332612222823, + "grad_norm": 1.078125, + "learning_rate": 0.00017338753805824536, + "loss": 4.8375, + "mean_token_accuracy": 0.22441824078559874, + "num_tokens": 14260239.0, + "step": 6350 + }, + { + "entropy": 5.397213077545166, + "epoch": 6.870740941049216, + "grad_norm": 0.93359375, + "learning_rate": 0.00017300503505550939, + "loss": 4.7386, + "mean_token_accuracy": 0.23439123779535292, + "num_tokens": 14271825.0, + "step": 6355 + }, + { + "entropy": 5.371894598007202, + "epoch": 6.876149269875609, + "grad_norm": 1.0546875, + "learning_rate": 0.00017262290270271175, + "loss": 4.6615, + "mean_token_accuracy": 0.24698663353919983, + "num_tokens": 14282517.0, + "step": 6360 + }, + { + "entropy": 5.514883232116699, + "epoch": 6.881557598702001, + "grad_norm": 1.09375, + "learning_rate": 0.00017224114238852234, + "loss": 4.8437, + "mean_token_accuracy": 0.23700363636016847, + "num_tokens": 14293548.0, + "step": 6365 + }, + { + "entropy": 5.458508491516113, + "epoch": 6.886965927528394, + "grad_norm": 0.99609375, + "learning_rate": 0.0001718597555002588, + "loss": 4.8109, + "mean_token_accuracy": 0.2287731185555458, + "num_tokens": 14305782.0, + "step": 6370 + }, + { + "entropy": 5.464990663528442, + "epoch": 6.8923742563547865, + "grad_norm": 1.015625, + "learning_rate": 0.00017147874342388227, + "loss": 4.7446, + "mean_token_accuracy": 0.23635595589876174, + "num_tokens": 14315968.0, + "step": 6375 + }, + { + "entropy": 5.484697961807251, + "epoch": 6.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0001710981075439913, + "loss": 4.7885, + "mean_token_accuracy": 0.23122970163822174, + "num_tokens": 14327579.0, + "step": 6380 + }, + { + "entropy": 5.556122732162476, + "epoch": 6.903190914007571, + "grad_norm": 1.0390625, + "learning_rate": 0.00017071784924381766, + "loss": 4.8536, + "mean_token_accuracy": 0.22923520505428313, + "num_tokens": 14338620.0, + "step": 6385 + }, + { + "entropy": 5.435343933105469, + "epoch": 6.908599242833964, + "grad_norm": 1.078125, + "learning_rate": 0.00017033796990522081, + "loss": 4.736, + "mean_token_accuracy": 0.23136261701583863, + "num_tokens": 14348638.0, + "step": 6390 + }, + { + "entropy": 5.469294881820678, + "epoch": 6.914007571660357, + "grad_norm": 1.109375, + "learning_rate": 0.00016995847090868322, + "loss": 4.8066, + "mean_token_accuracy": 0.23570748418569565, + "num_tokens": 14359253.0, + "step": 6395 + }, + { + "entropy": 5.488160896301269, + "epoch": 6.91941590048675, + "grad_norm": 1.0703125, + "learning_rate": 0.00016957935363330506, + "loss": 4.7846, + "mean_token_accuracy": 0.23263452798128129, + "num_tokens": 14370659.0, + "step": 6400 + }, + { + "entropy": 5.467180585861206, + "epoch": 6.924824229313142, + "grad_norm": 1.125, + "learning_rate": 0.00016920061945679951, + "loss": 4.8172, + "mean_token_accuracy": 0.22805383503437043, + "num_tokens": 14381136.0, + "step": 6405 + }, + { + "entropy": 5.463050317764282, + "epoch": 6.930232558139535, + "grad_norm": 0.99609375, + "learning_rate": 0.0001688222697554872, + "loss": 4.8262, + "mean_token_accuracy": 0.22429136484861373, + "num_tokens": 14392789.0, + "step": 6410 + }, + { + "entropy": 5.463587474822998, + "epoch": 6.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.000168444305904292, + "loss": 4.7404, + "mean_token_accuracy": 0.23504639863967897, + "num_tokens": 14402808.0, + "step": 6415 + }, + { + "entropy": 5.518123960494995, + "epoch": 6.9410492157923205, + "grad_norm": 1.046875, + "learning_rate": 0.00016806672927673552, + "loss": 4.8328, + "mean_token_accuracy": 0.22986545860767366, + "num_tokens": 14413961.0, + "step": 6420 + }, + { + "entropy": 5.479937028884888, + "epoch": 6.9464575446187125, + "grad_norm": 1.15625, + "learning_rate": 0.00016768954124493188, + "loss": 4.7478, + "mean_token_accuracy": 0.2352260708808899, + "num_tokens": 14424416.0, + "step": 6425 + }, + { + "entropy": 5.5164111137390135, + "epoch": 6.951865873445105, + "grad_norm": 1.125, + "learning_rate": 0.00016731274317958333, + "loss": 4.8971, + "mean_token_accuracy": 0.22941209524869918, + "num_tokens": 14435771.0, + "step": 6430 + }, + { + "entropy": 5.4186872959136965, + "epoch": 6.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.0001669363364499749, + "loss": 4.73, + "mean_token_accuracy": 0.23911819905042647, + "num_tokens": 14447106.0, + "step": 6435 + }, + { + "entropy": 5.442362308502197, + "epoch": 6.962682531097891, + "grad_norm": 1.03125, + "learning_rate": 0.00016656032242396958, + "loss": 4.8122, + "mean_token_accuracy": 0.2302314579486847, + "num_tokens": 14458698.0, + "step": 6440 + }, + { + "entropy": 5.453445291519165, + "epoch": 6.968090859924283, + "grad_norm": 1.078125, + "learning_rate": 0.00016618470246800322, + "loss": 4.7455, + "mean_token_accuracy": 0.23800296932458878, + "num_tokens": 14469440.0, + "step": 6445 + }, + { + "entropy": 5.490810489654541, + "epoch": 6.973499188750676, + "grad_norm": 1.1015625, + "learning_rate": 0.00016580947794707937, + "loss": 4.8024, + "mean_token_accuracy": 0.24103218615055083, + "num_tokens": 14480256.0, + "step": 6450 + }, + { + "entropy": 5.470514965057373, + "epoch": 6.978907517577069, + "grad_norm": 1.046875, + "learning_rate": 0.00016543465022476512, + "loss": 4.8481, + "mean_token_accuracy": 0.23317314237356185, + "num_tokens": 14492347.0, + "step": 6455 + }, + { + "entropy": 5.454502725601197, + "epoch": 6.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0001650602206631852, + "loss": 4.7853, + "mean_token_accuracy": 0.22942974418401718, + "num_tokens": 14503492.0, + "step": 6460 + }, + { + "entropy": 5.506963491439819, + "epoch": 6.9897241752298545, + "grad_norm": 1.09375, + "learning_rate": 0.00016468619062301739, + "loss": 4.9144, + "mean_token_accuracy": 0.2240392178297043, + "num_tokens": 14515843.0, + "step": 6465 + }, + { + "entropy": 5.422661304473877, + "epoch": 6.995132504056246, + "grad_norm": 1.1171875, + "learning_rate": 0.0001643125614634877, + "loss": 4.7668, + "mean_token_accuracy": 0.22867323458194733, + "num_tokens": 14526733.0, + "step": 6470 + }, + { + "entropy": 5.484320746527778, + "epoch": 7.0, + "grad_norm": 2.09375, + "learning_rate": 0.0001639393345423656, + "loss": 4.9156, + "mean_token_accuracy": 0.22375796569718254, + "num_tokens": 14538223.0, + "step": 6475 + }, + { + "entropy": 5.473077964782715, + "epoch": 7.005408328826393, + "grad_norm": 0.9921875, + "learning_rate": 0.00016356651121595832, + "loss": 4.6896, + "mean_token_accuracy": 0.23437674343585968, + "num_tokens": 14549388.0, + "step": 6480 + }, + { + "entropy": 5.507199287414551, + "epoch": 7.010816657652786, + "grad_norm": 1.078125, + "learning_rate": 0.0001631940928391068, + "loss": 4.7129, + "mean_token_accuracy": 0.23249671310186387, + "num_tokens": 14561300.0, + "step": 6485 + }, + { + "entropy": 5.418299865722656, + "epoch": 7.016224986479178, + "grad_norm": 1.1328125, + "learning_rate": 0.00016282208076518032, + "loss": 4.6235, + "mean_token_accuracy": 0.24409482777118682, + "num_tokens": 14573169.0, + "step": 6490 + }, + { + "entropy": 5.460235691070556, + "epoch": 7.0216333153055706, + "grad_norm": 1.09375, + "learning_rate": 0.00016245047634607155, + "loss": 4.7435, + "mean_token_accuracy": 0.23163942545652388, + "num_tokens": 14585035.0, + "step": 6495 + }, + { + "entropy": 5.408029985427857, + "epoch": 7.027041644131963, + "grad_norm": 1.15625, + "learning_rate": 0.0001620792809321919, + "loss": 4.6479, + "mean_token_accuracy": 0.25236437320709226, + "num_tokens": 14596184.0, + "step": 6500 + }, + { + "epoch": 7.027041644131963, + "eval_entropy": 5.3447701345790515, + "eval_loss": 5.831712245941162, + "eval_mean_token_accuracy": 0.18428871013562786, + "eval_num_tokens": 14596184.0, + "eval_runtime": 3.5434, + "eval_samples_per_second": 991.978, + "eval_steps_per_second": 124.174, + "step": 6500 + }, + { + "entropy": 5.464370441436768, + "epoch": 7.032449972958356, + "grad_norm": 1.0625, + "learning_rate": 0.00016170849587246623, + "loss": 4.6636, + "mean_token_accuracy": 0.24691879898309707, + "num_tokens": 14606987.0, + "step": 6505 + }, + { + "entropy": 5.382754278182984, + "epoch": 7.037858301784748, + "grad_norm": 1.0859375, + "learning_rate": 0.00016133812251432826, + "loss": 4.6446, + "mean_token_accuracy": 0.24152851849794388, + "num_tokens": 14617600.0, + "step": 6510 + }, + { + "entropy": 5.545627021789551, + "epoch": 7.043266630611141, + "grad_norm": 1.140625, + "learning_rate": 0.0001609681622037159, + "loss": 4.8768, + "mean_token_accuracy": 0.23409285694360732, + "num_tokens": 14629551.0, + "step": 6515 + }, + { + "entropy": 5.513275575637818, + "epoch": 7.048674959437534, + "grad_norm": 0.9609375, + "learning_rate": 0.00016059861628506557, + "loss": 4.7503, + "mean_token_accuracy": 0.23408671617507934, + "num_tokens": 14641322.0, + "step": 6520 + }, + { + "entropy": 5.477088546752929, + "epoch": 7.054083288263927, + "grad_norm": 1.0078125, + "learning_rate": 0.00016022948610130804, + "loss": 4.6729, + "mean_token_accuracy": 0.24914150536060334, + "num_tokens": 14653380.0, + "step": 6525 + }, + { + "entropy": 5.466812229156494, + "epoch": 7.059491617090319, + "grad_norm": 1.140625, + "learning_rate": 0.0001598607729938632, + "loss": 4.6486, + "mean_token_accuracy": 0.24966771751642228, + "num_tokens": 14664043.0, + "step": 6530 + }, + { + "entropy": 5.344011831283569, + "epoch": 7.064899945916712, + "grad_norm": 1.078125, + "learning_rate": 0.00015949247830263538, + "loss": 4.5761, + "mean_token_accuracy": 0.2504953399300575, + "num_tokens": 14675117.0, + "step": 6535 + }, + { + "entropy": 5.410769510269165, + "epoch": 7.0703082747431045, + "grad_norm": 0.98828125, + "learning_rate": 0.00015912460336600838, + "loss": 4.6592, + "mean_token_accuracy": 0.24368593096733093, + "num_tokens": 14686908.0, + "step": 6540 + }, + { + "entropy": 5.454552125930786, + "epoch": 7.075716603569497, + "grad_norm": 1.1171875, + "learning_rate": 0.00015875714952084054, + "loss": 4.651, + "mean_token_accuracy": 0.23747905492782592, + "num_tokens": 14698997.0, + "step": 6545 + }, + { + "entropy": 5.482502889633179, + "epoch": 7.081124932395889, + "grad_norm": 1.125, + "learning_rate": 0.00015839011810245984, + "loss": 4.7622, + "mean_token_accuracy": 0.2314816802740097, + "num_tokens": 14709586.0, + "step": 6550 + }, + { + "entropy": 5.58815712928772, + "epoch": 7.086533261222282, + "grad_norm": 1.015625, + "learning_rate": 0.0001580235104446596, + "loss": 4.8083, + "mean_token_accuracy": 0.23637845516204833, + "num_tokens": 14720821.0, + "step": 6555 + }, + { + "entropy": 5.534481573104858, + "epoch": 7.091941590048675, + "grad_norm": 1.125, + "learning_rate": 0.00015765732787969267, + "loss": 4.7914, + "mean_token_accuracy": 0.2330068051815033, + "num_tokens": 14732218.0, + "step": 6560 + }, + { + "entropy": 5.500377082824707, + "epoch": 7.097349918875068, + "grad_norm": 1.125, + "learning_rate": 0.00015729157173826724, + "loss": 4.7649, + "mean_token_accuracy": 0.23969083726406099, + "num_tokens": 14742306.0, + "step": 6565 + }, + { + "entropy": 5.4900023460388185, + "epoch": 7.10275824770146, + "grad_norm": 1.1171875, + "learning_rate": 0.00015692624334954236, + "loss": 4.6786, + "mean_token_accuracy": 0.24366039633750916, + "num_tokens": 14752924.0, + "step": 6570 + }, + { + "entropy": 5.496832656860351, + "epoch": 7.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0001565613440411219, + "loss": 4.7231, + "mean_token_accuracy": 0.24004672914743425, + "num_tokens": 14764161.0, + "step": 6575 + }, + { + "entropy": 5.440928888320923, + "epoch": 7.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.0001561968751390509, + "loss": 4.6765, + "mean_token_accuracy": 0.24878692924976348, + "num_tokens": 14774520.0, + "step": 6580 + }, + { + "entropy": 5.453061580657959, + "epoch": 7.1189832341806385, + "grad_norm": 1.15625, + "learning_rate": 0.00015583283796781022, + "loss": 4.6932, + "mean_token_accuracy": 0.24243371188640594, + "num_tokens": 14785243.0, + "step": 6585 + }, + { + "entropy": 5.52647213935852, + "epoch": 7.1243915630070305, + "grad_norm": 1.171875, + "learning_rate": 0.00015546923385031169, + "loss": 4.7412, + "mean_token_accuracy": 0.23893113285303116, + "num_tokens": 14796152.0, + "step": 6590 + }, + { + "entropy": 5.4624011516571045, + "epoch": 7.129799891833423, + "grad_norm": 0.9296875, + "learning_rate": 0.00015510606410789368, + "loss": 4.6761, + "mean_token_accuracy": 0.24187866747379302, + "num_tokens": 14807849.0, + "step": 6595 + }, + { + "entropy": 5.4489339828491214, + "epoch": 7.135208220659816, + "grad_norm": 1.0234375, + "learning_rate": 0.0001547433300603157, + "loss": 4.7278, + "mean_token_accuracy": 0.23658954948186875, + "num_tokens": 14819402.0, + "step": 6600 + }, + { + "entropy": 5.519697618484497, + "epoch": 7.140616549486209, + "grad_norm": 0.97265625, + "learning_rate": 0.00015438103302575413, + "loss": 4.7809, + "mean_token_accuracy": 0.22943075448274614, + "num_tokens": 14831801.0, + "step": 6605 + }, + { + "entropy": 5.458428382873535, + "epoch": 7.146024878312601, + "grad_norm": 1.046875, + "learning_rate": 0.0001540191743207974, + "loss": 4.6665, + "mean_token_accuracy": 0.24807371944189072, + "num_tokens": 14842758.0, + "step": 6610 + }, + { + "entropy": 5.438600254058838, + "epoch": 7.151433207138994, + "grad_norm": 1.1484375, + "learning_rate": 0.0001536577552604407, + "loss": 4.6907, + "mean_token_accuracy": 0.24510224908590317, + "num_tokens": 14853493.0, + "step": 6615 + }, + { + "entropy": 5.459250783920288, + "epoch": 7.156841535965387, + "grad_norm": 1.0546875, + "learning_rate": 0.00015329677715808176, + "loss": 4.6939, + "mean_token_accuracy": 0.23562195599079133, + "num_tokens": 14863561.0, + "step": 6620 + }, + { + "entropy": 5.4494476318359375, + "epoch": 7.16224986479178, + "grad_norm": 1.0390625, + "learning_rate": 0.00015293624132551591, + "loss": 4.7133, + "mean_token_accuracy": 0.237583789229393, + "num_tokens": 14874501.0, + "step": 6625 + }, + { + "entropy": 5.418937349319458, + "epoch": 7.167658193618172, + "grad_norm": 1.1484375, + "learning_rate": 0.0001525761490729312, + "loss": 4.6094, + "mean_token_accuracy": 0.24090600162744522, + "num_tokens": 14885457.0, + "step": 6630 + }, + { + "entropy": 5.386363983154297, + "epoch": 7.173066522444564, + "grad_norm": 1.140625, + "learning_rate": 0.0001522165017089036, + "loss": 4.6538, + "mean_token_accuracy": 0.24340963810682298, + "num_tokens": 14895812.0, + "step": 6635 + }, + { + "entropy": 5.456580400466919, + "epoch": 7.178474851270957, + "grad_norm": 1.1484375, + "learning_rate": 0.00015185730054039266, + "loss": 4.6593, + "mean_token_accuracy": 0.2551399230957031, + "num_tokens": 14907367.0, + "step": 6640 + }, + { + "entropy": 5.359630060195923, + "epoch": 7.18388318009735, + "grad_norm": 1.0859375, + "learning_rate": 0.00015149854687273594, + "loss": 4.6462, + "mean_token_accuracy": 0.24483772069215776, + "num_tokens": 14918931.0, + "step": 6645 + }, + { + "entropy": 5.4493739128112795, + "epoch": 7.189291508923742, + "grad_norm": 1.203125, + "learning_rate": 0.0001511402420096455, + "loss": 4.6726, + "mean_token_accuracy": 0.24823494553565978, + "num_tokens": 14929518.0, + "step": 6650 + }, + { + "entropy": 5.420223188400269, + "epoch": 7.194699837750135, + "grad_norm": 1.0703125, + "learning_rate": 0.0001507823872532017, + "loss": 4.6215, + "mean_token_accuracy": 0.25121530294418337, + "num_tokens": 14940249.0, + "step": 6655 + }, + { + "entropy": 5.487333488464356, + "epoch": 7.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00015042498390384966, + "loss": 4.651, + "mean_token_accuracy": 0.2495026633143425, + "num_tokens": 14950645.0, + "step": 6660 + }, + { + "entropy": 5.48924765586853, + "epoch": 7.205516495402921, + "grad_norm": 1.1484375, + "learning_rate": 0.00015006803326039403, + "loss": 4.6803, + "mean_token_accuracy": 0.24450889825820923, + "num_tokens": 14961687.0, + "step": 6665 + }, + { + "entropy": 5.495927572250366, + "epoch": 7.210924824229313, + "grad_norm": 1.1328125, + "learning_rate": 0.00014971153661999425, + "loss": 4.7147, + "mean_token_accuracy": 0.23855119198560715, + "num_tokens": 14973119.0, + "step": 6670 + }, + { + "entropy": 5.49677472114563, + "epoch": 7.2163331530557056, + "grad_norm": 1.1015625, + "learning_rate": 0.0001493554952781599, + "loss": 4.7157, + "mean_token_accuracy": 0.2383064314723015, + "num_tokens": 14984826.0, + "step": 6675 + }, + { + "entropy": 5.433115148544312, + "epoch": 7.221741481882098, + "grad_norm": 1.1484375, + "learning_rate": 0.00014899991052874618, + "loss": 4.6384, + "mean_token_accuracy": 0.24932982623577118, + "num_tokens": 14996853.0, + "step": 6680 + }, + { + "entropy": 5.490801095962524, + "epoch": 7.227149810708491, + "grad_norm": 1.1171875, + "learning_rate": 0.00014864478366394853, + "loss": 4.723, + "mean_token_accuracy": 0.2382085368037224, + "num_tokens": 15006941.0, + "step": 6685 + }, + { + "entropy": 5.507191753387451, + "epoch": 7.232558139534884, + "grad_norm": 1.0234375, + "learning_rate": 0.0001482901159742992, + "loss": 4.7574, + "mean_token_accuracy": 0.23971456587314605, + "num_tokens": 15018477.0, + "step": 6690 + }, + { + "entropy": 5.495437908172607, + "epoch": 7.237966468361276, + "grad_norm": 1.078125, + "learning_rate": 0.0001479359087486613, + "loss": 4.7285, + "mean_token_accuracy": 0.24551907330751419, + "num_tokens": 15030454.0, + "step": 6695 + }, + { + "entropy": 5.439489364624023, + "epoch": 7.243374797187669, + "grad_norm": 1.1171875, + "learning_rate": 0.00014758216327422457, + "loss": 4.6662, + "mean_token_accuracy": 0.245236536860466, + "num_tokens": 15040662.0, + "step": 6700 + }, + { + "entropy": 5.4497535705566404, + "epoch": 7.248783126014062, + "grad_norm": 1.0859375, + "learning_rate": 0.00014722888083650094, + "loss": 4.7445, + "mean_token_accuracy": 0.23666218519210816, + "num_tokens": 15051414.0, + "step": 6705 + }, + { + "entropy": 5.429581880569458, + "epoch": 7.254191454840455, + "grad_norm": 1.09375, + "learning_rate": 0.00014687606271931961, + "loss": 4.6776, + "mean_token_accuracy": 0.24278885275125503, + "num_tokens": 15062563.0, + "step": 6710 + }, + { + "entropy": 5.483661127090454, + "epoch": 7.259599783666847, + "grad_norm": 1.1484375, + "learning_rate": 0.00014652371020482246, + "loss": 4.78, + "mean_token_accuracy": 0.2354867562651634, + "num_tokens": 15074443.0, + "step": 6715 + }, + { + "entropy": 5.4655379295349125, + "epoch": 7.2650081124932395, + "grad_norm": 1.09375, + "learning_rate": 0.0001461718245734594, + "loss": 4.6926, + "mean_token_accuracy": 0.2432758167386055, + "num_tokens": 15085920.0, + "step": 6720 + }, + { + "entropy": 5.451245069503784, + "epoch": 7.270416441319632, + "grad_norm": 1.1171875, + "learning_rate": 0.0001458204071039834, + "loss": 4.6462, + "mean_token_accuracy": 0.2515479028224945, + "num_tokens": 15096851.0, + "step": 6725 + }, + { + "entropy": 5.4489991664886475, + "epoch": 7.275824770146025, + "grad_norm": 0.99609375, + "learning_rate": 0.0001454694590734466, + "loss": 4.5771, + "mean_token_accuracy": 0.25787000358104706, + "num_tokens": 15107217.0, + "step": 6730 + }, + { + "entropy": 5.458311605453491, + "epoch": 7.281233098972417, + "grad_norm": 1.171875, + "learning_rate": 0.0001451189817571949, + "loss": 4.6624, + "mean_token_accuracy": 0.24796743094921112, + "num_tokens": 15117464.0, + "step": 6735 + }, + { + "entropy": 5.426720666885376, + "epoch": 7.28664142779881, + "grad_norm": 1.1015625, + "learning_rate": 0.00014476897642886355, + "loss": 4.6601, + "mean_token_accuracy": 0.2457870662212372, + "num_tokens": 15127801.0, + "step": 6740 + }, + { + "entropy": 5.524455165863037, + "epoch": 7.292049756625203, + "grad_norm": 1.1171875, + "learning_rate": 0.00014441944436037287, + "loss": 4.8401, + "mean_token_accuracy": 0.2326320692896843, + "num_tokens": 15139117.0, + "step": 6745 + }, + { + "entropy": 5.410741662979126, + "epoch": 7.297458085451596, + "grad_norm": 1.1640625, + "learning_rate": 0.00014407038682192312, + "loss": 4.7018, + "mean_token_accuracy": 0.23679485470056533, + "num_tokens": 15150205.0, + "step": 6750 + }, + { + "entropy": 5.4943968772888185, + "epoch": 7.302866414277988, + "grad_norm": 1.1640625, + "learning_rate": 0.0001437218050819902, + "loss": 4.7458, + "mean_token_accuracy": 0.23985870331525802, + "num_tokens": 15160813.0, + "step": 6755 + }, + { + "entropy": 5.4374031066894535, + "epoch": 7.308274743104381, + "grad_norm": 1.15625, + "learning_rate": 0.000143373700407321, + "loss": 4.6973, + "mean_token_accuracy": 0.23702437579631805, + "num_tokens": 15171609.0, + "step": 6760 + }, + { + "entropy": 5.454741048812866, + "epoch": 7.3136830719307735, + "grad_norm": 1.0859375, + "learning_rate": 0.00014302607406292873, + "loss": 4.6596, + "mean_token_accuracy": 0.2430892437696457, + "num_tokens": 15183030.0, + "step": 6765 + }, + { + "entropy": 5.472054719924927, + "epoch": 7.319091400757166, + "grad_norm": 1.234375, + "learning_rate": 0.00014267892731208826, + "loss": 4.7313, + "mean_token_accuracy": 0.2432381123304367, + "num_tokens": 15193365.0, + "step": 6770 + }, + { + "entropy": 5.426125717163086, + "epoch": 7.324499729583558, + "grad_norm": 1.0703125, + "learning_rate": 0.0001423322614163318, + "loss": 4.6888, + "mean_token_accuracy": 0.2341487318277359, + "num_tokens": 15205075.0, + "step": 6775 + }, + { + "entropy": 5.46237211227417, + "epoch": 7.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.00014198607763544392, + "loss": 4.7177, + "mean_token_accuracy": 0.2393790975213051, + "num_tokens": 15216655.0, + "step": 6780 + }, + { + "entropy": 5.436810684204102, + "epoch": 7.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.00014164037722745715, + "loss": 4.6884, + "mean_token_accuracy": 0.24960858076810838, + "num_tokens": 15228130.0, + "step": 6785 + }, + { + "entropy": 5.390351629257202, + "epoch": 7.340724716062737, + "grad_norm": 0.9609375, + "learning_rate": 0.0001412951614486479, + "loss": 4.6332, + "mean_token_accuracy": 0.24285543262958526, + "num_tokens": 15239019.0, + "step": 6790 + }, + { + "entropy": 5.483645868301392, + "epoch": 7.346133044889129, + "grad_norm": 1.0625, + "learning_rate": 0.00014095043155353085, + "loss": 4.7357, + "mean_token_accuracy": 0.23854799568653107, + "num_tokens": 15250325.0, + "step": 6795 + }, + { + "entropy": 5.4402210235595705, + "epoch": 7.351541373715522, + "grad_norm": 1.234375, + "learning_rate": 0.0001406061887948553, + "loss": 4.7688, + "mean_token_accuracy": 0.22925260066986083, + "num_tokens": 15261670.0, + "step": 6800 + }, + { + "entropy": 5.5303246021270756, + "epoch": 7.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.00014026243442360025, + "loss": 4.742, + "mean_token_accuracy": 0.2413437023758888, + "num_tokens": 15273660.0, + "step": 6805 + }, + { + "entropy": 5.464653587341308, + "epoch": 7.3623580313683075, + "grad_norm": 0.98046875, + "learning_rate": 0.0001399191696889699, + "loss": 4.6256, + "mean_token_accuracy": 0.2464908093214035, + "num_tokens": 15284593.0, + "step": 6810 + }, + { + "entropy": 5.448968410491943, + "epoch": 7.367766360194699, + "grad_norm": 1.0390625, + "learning_rate": 0.0001395763958383891, + "loss": 4.732, + "mean_token_accuracy": 0.23267947733402253, + "num_tokens": 15295860.0, + "step": 6815 + }, + { + "entropy": 5.386800622940063, + "epoch": 7.373174689021092, + "grad_norm": 1.140625, + "learning_rate": 0.0001392341141174987, + "loss": 4.6744, + "mean_token_accuracy": 0.2403596669435501, + "num_tokens": 15306718.0, + "step": 6820 + }, + { + "entropy": 5.456715679168701, + "epoch": 7.378583017847485, + "grad_norm": 0.984375, + "learning_rate": 0.00013889232577015125, + "loss": 4.6425, + "mean_token_accuracy": 0.24926920384168624, + "num_tokens": 15318213.0, + "step": 6825 + }, + { + "entropy": 5.4435365200042725, + "epoch": 7.383991346673878, + "grad_norm": 1.203125, + "learning_rate": 0.00013855103203840673, + "loss": 4.7027, + "mean_token_accuracy": 0.24004194885492325, + "num_tokens": 15328932.0, + "step": 6830 + }, + { + "entropy": 5.453626346588135, + "epoch": 7.38939967550027, + "grad_norm": 1.078125, + "learning_rate": 0.00013821023416252693, + "loss": 4.7246, + "mean_token_accuracy": 0.23861720710992812, + "num_tokens": 15340370.0, + "step": 6835 + }, + { + "entropy": 5.450275945663452, + "epoch": 7.394808004326663, + "grad_norm": 1.078125, + "learning_rate": 0.00013786993338097236, + "loss": 4.7441, + "mean_token_accuracy": 0.23446590304374695, + "num_tokens": 15351567.0, + "step": 6840 + }, + { + "entropy": 5.482220315933228, + "epoch": 7.400216333153056, + "grad_norm": 1.2265625, + "learning_rate": 0.00013753013093039673, + "loss": 4.6906, + "mean_token_accuracy": 0.24328313022851944, + "num_tokens": 15361945.0, + "step": 6845 + }, + { + "entropy": 5.375622081756592, + "epoch": 7.405624661979449, + "grad_norm": 0.9453125, + "learning_rate": 0.000137190828045643, + "loss": 4.6098, + "mean_token_accuracy": 0.24908155649900438, + "num_tokens": 15374267.0, + "step": 6850 + }, + { + "entropy": 5.38783860206604, + "epoch": 7.411032990805841, + "grad_norm": 1.1875, + "learning_rate": 0.00013685202595973861, + "loss": 4.6344, + "mean_token_accuracy": 0.2504056841135025, + "num_tokens": 15384323.0, + "step": 6855 + }, + { + "entropy": 5.458398628234863, + "epoch": 7.416441319632233, + "grad_norm": 1.03125, + "learning_rate": 0.00013651372590389122, + "loss": 4.6744, + "mean_token_accuracy": 0.23910631090402604, + "num_tokens": 15395034.0, + "step": 6860 + }, + { + "entropy": 5.509616470336914, + "epoch": 7.421849648458626, + "grad_norm": 1.1015625, + "learning_rate": 0.00013617592910748378, + "loss": 4.7472, + "mean_token_accuracy": 0.2403371140360832, + "num_tokens": 15405948.0, + "step": 6865 + }, + { + "entropy": 5.450651597976685, + "epoch": 7.427257977285019, + "grad_norm": 1.078125, + "learning_rate": 0.00013583863679807092, + "loss": 4.7383, + "mean_token_accuracy": 0.24283735305070878, + "num_tokens": 15417200.0, + "step": 6870 + }, + { + "entropy": 5.399878263473511, + "epoch": 7.432666306111411, + "grad_norm": 1.140625, + "learning_rate": 0.00013550185020137344, + "loss": 4.6714, + "mean_token_accuracy": 0.23909084647893905, + "num_tokens": 15428525.0, + "step": 6875 + }, + { + "entropy": 5.433660840988159, + "epoch": 7.438074634937804, + "grad_norm": 1.171875, + "learning_rate": 0.0001351655705412747, + "loss": 4.7263, + "mean_token_accuracy": 0.24089816063642502, + "num_tokens": 15440464.0, + "step": 6880 + }, + { + "entropy": 5.434780931472778, + "epoch": 7.443482963764197, + "grad_norm": 0.890625, + "learning_rate": 0.0001348297990398158, + "loss": 4.6652, + "mean_token_accuracy": 0.24440051168203353, + "num_tokens": 15452141.0, + "step": 6885 + }, + { + "entropy": 5.389398670196533, + "epoch": 7.44889129259059, + "grad_norm": 1.28125, + "learning_rate": 0.00013449453691719108, + "loss": 4.6366, + "mean_token_accuracy": 0.2456216871738434, + "num_tokens": 15463550.0, + "step": 6890 + }, + { + "entropy": 5.477556848526001, + "epoch": 7.4542996214169825, + "grad_norm": 1.1484375, + "learning_rate": 0.0001341597853917439, + "loss": 4.7464, + "mean_token_accuracy": 0.23704748153686522, + "num_tokens": 15475021.0, + "step": 6895 + }, + { + "entropy": 5.442272329330445, + "epoch": 7.4597079502433745, + "grad_norm": 1.1015625, + "learning_rate": 0.00013382554567996214, + "loss": 4.6938, + "mean_token_accuracy": 0.24450730830430983, + "num_tokens": 15486567.0, + "step": 6900 + }, + { + "entropy": 5.471250104904175, + "epoch": 7.465116279069767, + "grad_norm": 1.0703125, + "learning_rate": 0.00013349181899647346, + "loss": 4.7249, + "mean_token_accuracy": 0.23975735455751418, + "num_tokens": 15498133.0, + "step": 6905 + }, + { + "entropy": 5.447659826278686, + "epoch": 7.47052460789616, + "grad_norm": 1.046875, + "learning_rate": 0.00013315860655404167, + "loss": 4.7895, + "mean_token_accuracy": 0.23136132061481476, + "num_tokens": 15509723.0, + "step": 6910 + }, + { + "entropy": 5.456309413909912, + "epoch": 7.475932936722553, + "grad_norm": 1.078125, + "learning_rate": 0.0001328259095635615, + "loss": 4.7115, + "mean_token_accuracy": 0.23292717039585115, + "num_tokens": 15519590.0, + "step": 6915 + }, + { + "entropy": 5.4850624084472654, + "epoch": 7.481341265548945, + "grad_norm": 1.0703125, + "learning_rate": 0.0001324937292340545, + "loss": 4.7387, + "mean_token_accuracy": 0.23711150139570236, + "num_tokens": 15531112.0, + "step": 6920 + }, + { + "entropy": 5.4384623050689695, + "epoch": 7.486749594375338, + "grad_norm": 1.15625, + "learning_rate": 0.00013216206677266475, + "loss": 4.6405, + "mean_token_accuracy": 0.24470630288124084, + "num_tokens": 15541341.0, + "step": 6925 + }, + { + "entropy": 5.4840343475341795, + "epoch": 7.492157923201731, + "grad_norm": 1.1171875, + "learning_rate": 0.0001318309233846544, + "loss": 4.7422, + "mean_token_accuracy": 0.236113977432251, + "num_tokens": 15553025.0, + "step": 6930 + }, + { + "entropy": 5.563514947891235, + "epoch": 7.497566252028124, + "grad_norm": 1.1328125, + "learning_rate": 0.00013150030027339935, + "loss": 4.7686, + "mean_token_accuracy": 0.23476097285747527, + "num_tokens": 15563824.0, + "step": 6935 + }, + { + "entropy": 5.46577525138855, + "epoch": 7.502974580854516, + "grad_norm": 1.1796875, + "learning_rate": 0.00013117019864038483, + "loss": 4.7118, + "mean_token_accuracy": 0.24245630502700805, + "num_tokens": 15575129.0, + "step": 6940 + }, + { + "entropy": 5.415052223205566, + "epoch": 7.5083829096809085, + "grad_norm": 0.9453125, + "learning_rate": 0.00013084061968520063, + "loss": 4.675, + "mean_token_accuracy": 0.2389229193329811, + "num_tokens": 15586018.0, + "step": 6945 + }, + { + "entropy": 5.501877355575561, + "epoch": 7.513791238507301, + "grad_norm": 1.0546875, + "learning_rate": 0.00013051156460553776, + "loss": 4.8056, + "mean_token_accuracy": 0.2328426405787468, + "num_tokens": 15597062.0, + "step": 6950 + }, + { + "entropy": 5.530647611618042, + "epoch": 7.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.00013018303459718305, + "loss": 4.8664, + "mean_token_accuracy": 0.2271554872393608, + "num_tokens": 15608666.0, + "step": 6955 + }, + { + "entropy": 5.479798126220703, + "epoch": 7.524607896160086, + "grad_norm": 1.046875, + "learning_rate": 0.00012985503085401523, + "loss": 4.7171, + "mean_token_accuracy": 0.241233229637146, + "num_tokens": 15619764.0, + "step": 6960 + }, + { + "entropy": 5.508718585968017, + "epoch": 7.530016224986479, + "grad_norm": 1.0546875, + "learning_rate": 0.00012952755456800067, + "loss": 4.7602, + "mean_token_accuracy": 0.23189041912555694, + "num_tokens": 15631611.0, + "step": 6965 + }, + { + "entropy": 5.498543310165405, + "epoch": 7.535424553812872, + "grad_norm": 1.109375, + "learning_rate": 0.000129200606929189, + "loss": 4.7292, + "mean_token_accuracy": 0.24636310935020447, + "num_tokens": 15642392.0, + "step": 6970 + }, + { + "entropy": 5.480962038040161, + "epoch": 7.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.0001288741891257087, + "loss": 4.725, + "mean_token_accuracy": 0.2412426218390465, + "num_tokens": 15655304.0, + "step": 6975 + }, + { + "entropy": 5.409903812408447, + "epoch": 7.546241211465657, + "grad_norm": 1.0546875, + "learning_rate": 0.00012854830234376277, + "loss": 4.6985, + "mean_token_accuracy": 0.23944918811321259, + "num_tokens": 15666055.0, + "step": 6980 + }, + { + "entropy": 5.448230409622193, + "epoch": 7.55164954029205, + "grad_norm": 1.1171875, + "learning_rate": 0.0001282229477676246, + "loss": 4.7246, + "mean_token_accuracy": 0.2372318223118782, + "num_tokens": 15676287.0, + "step": 6985 + }, + { + "entropy": 5.526154470443726, + "epoch": 7.5570578691184425, + "grad_norm": 1.171875, + "learning_rate": 0.0001278981265796334, + "loss": 4.7988, + "mean_token_accuracy": 0.23436320722103118, + "num_tokens": 15687448.0, + "step": 6990 + }, + { + "entropy": 5.418953084945679, + "epoch": 7.562466197944835, + "grad_norm": 1.09375, + "learning_rate": 0.00012757383996019024, + "loss": 4.6595, + "mean_token_accuracy": 0.23905721604824065, + "num_tokens": 15698303.0, + "step": 6995 + }, + { + "entropy": 5.4294517993927, + "epoch": 7.567874526771227, + "grad_norm": 1.140625, + "learning_rate": 0.0001272500890877533, + "loss": 4.5963, + "mean_token_accuracy": 0.2506329596042633, + "num_tokens": 15708905.0, + "step": 7000 + }, + { + "epoch": 7.567874526771227, + "eval_entropy": 5.361298730156639, + "eval_loss": 5.836106300354004, + "eval_mean_token_accuracy": 0.18401451317424125, + "eval_num_tokens": 15708905.0, + "eval_runtime": 3.5384, + "eval_samples_per_second": 993.377, + "eval_steps_per_second": 124.349, + "step": 7000 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 3644730079395840.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-7000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-7500/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..4acb768 --- /dev/null +++ b/checkpoint-7500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e9b79a6ec5a2532e07c5d525af1eb5ab6bd589ac383b955288a3308bd74b9f72 +size 78179408 diff --git a/checkpoint-7500/rng_state.pth b/checkpoint-7500/rng_state.pth new file mode 100644 index 0000000..6219ba3 --- /dev/null +++ b/checkpoint-7500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b5684a3f60de2d0b227cca4ccfd437a4091c539c045a90619252a74b425cf0eb +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-7500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-7500/trainer_state.json b/checkpoint-7500/trainer_state.json new file mode 100644 index 0000000..da3b3c2 --- /dev/null +++ b/checkpoint-7500/trainer_state.json @@ -0,0 +1,15199 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 8.108166576527854, + "eval_steps": 500, + "global_step": 7500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + }, + { + "entropy": 5.5260412216186525, + "epoch": 4.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0003273583644789772, + "loss": 5.0416, + "mean_token_accuracy": 0.2119097203016281, + "num_tokens": 10116420.0, + "step": 4505 + }, + { + "entropy": 5.480229425430298, + "epoch": 4.876149269875609, + "grad_norm": 0.984375, + "learning_rate": 0.00032694112553039795, + "loss": 5.0407, + "mean_token_accuracy": 0.20997347682714462, + "num_tokens": 10127289.0, + "step": 4510 + }, + { + "entropy": 5.582333183288574, + "epoch": 4.881557598702001, + "grad_norm": 0.89453125, + "learning_rate": 0.0003265236978276484, + "loss": 5.1776, + "mean_token_accuracy": 0.2014921173453331, + "num_tokens": 10139216.0, + "step": 4515 + }, + { + "entropy": 5.586625242233277, + "epoch": 4.886965927528394, + "grad_norm": 0.9609375, + "learning_rate": 0.00032610608288766185, + "loss": 5.0455, + "mean_token_accuracy": 0.22018371075391768, + "num_tokens": 10150010.0, + "step": 4520 + }, + { + "entropy": 5.507440090179443, + "epoch": 4.8923742563547865, + "grad_norm": 0.93359375, + "learning_rate": 0.00032568828222805216, + "loss": 5.0416, + "mean_token_accuracy": 0.21397803723812103, + "num_tokens": 10161317.0, + "step": 4525 + }, + { + "entropy": 5.520569133758545, + "epoch": 4.897782585181179, + "grad_norm": 1.0390625, + "learning_rate": 0.0003252702973671075, + "loss": 5.0784, + "mean_token_accuracy": 0.22154383063316346, + "num_tokens": 10172681.0, + "step": 4530 + }, + { + "entropy": 5.564612579345703, + "epoch": 4.903190914007571, + "grad_norm": 0.9375, + "learning_rate": 0.00032485212982378615, + "loss": 5.0628, + "mean_token_accuracy": 0.21105246245861053, + "num_tokens": 10184755.0, + "step": 4535 + }, + { + "entropy": 5.513889312744141, + "epoch": 4.908599242833964, + "grad_norm": 1.015625, + "learning_rate": 0.0003244337811177098, + "loss": 5.0479, + "mean_token_accuracy": 0.21932805627584456, + "num_tokens": 10195252.0, + "step": 4540 + }, + { + "entropy": 5.543384790420532, + "epoch": 4.914007571660357, + "grad_norm": 0.97265625, + "learning_rate": 0.0003240152527691586, + "loss": 5.152, + "mean_token_accuracy": 0.1962687239050865, + "num_tokens": 10207660.0, + "step": 4545 + }, + { + "entropy": 5.5311463356018065, + "epoch": 4.91941590048675, + "grad_norm": 0.94140625, + "learning_rate": 0.00032359654629906555, + "loss": 5.0906, + "mean_token_accuracy": 0.21332904547452927, + "num_tokens": 10218154.0, + "step": 4550 + }, + { + "entropy": 5.496583652496338, + "epoch": 4.924824229313142, + "grad_norm": 0.92578125, + "learning_rate": 0.00032317766322901106, + "loss": 5.0363, + "mean_token_accuracy": 0.2050163671374321, + "num_tokens": 10229624.0, + "step": 4555 + }, + { + "entropy": 5.5351176261901855, + "epoch": 4.930232558139535, + "grad_norm": 0.97265625, + "learning_rate": 0.000322758605081217, + "loss": 5.0029, + "mean_token_accuracy": 0.2171091064810753, + "num_tokens": 10240338.0, + "step": 4560 + }, + { + "entropy": 5.489692735671997, + "epoch": 4.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.00032233937337854167, + "loss": 5.0781, + "mean_token_accuracy": 0.21066401302814483, + "num_tokens": 10250721.0, + "step": 4565 + }, + { + "entropy": 5.483132600784302, + "epoch": 4.9410492157923205, + "grad_norm": 0.85546875, + "learning_rate": 0.0003219199696444741, + "loss": 5.1115, + "mean_token_accuracy": 0.20521238595247268, + "num_tokens": 10262596.0, + "step": 4570 + }, + { + "entropy": 5.630878591537476, + "epoch": 4.9464575446187125, + "grad_norm": 0.9375, + "learning_rate": 0.00032150039540312843, + "loss": 5.2161, + "mean_token_accuracy": 0.20218149423599244, + "num_tokens": 10275043.0, + "step": 4575 + }, + { + "entropy": 5.597415924072266, + "epoch": 4.951865873445105, + "grad_norm": 0.86328125, + "learning_rate": 0.00032108065217923836, + "loss": 5.1768, + "mean_token_accuracy": 0.20507008731365203, + "num_tokens": 10286593.0, + "step": 4580 + }, + { + "entropy": 5.684569835662842, + "epoch": 4.957274202271498, + "grad_norm": 0.91796875, + "learning_rate": 0.00032066074149815184, + "loss": 5.1852, + "mean_token_accuracy": 0.20786730647087098, + "num_tokens": 10297459.0, + "step": 4585 + }, + { + "entropy": 5.420581722259522, + "epoch": 4.962682531097891, + "grad_norm": 0.8984375, + "learning_rate": 0.00032024066488582517, + "loss": 4.9087, + "mean_token_accuracy": 0.22307772785425187, + "num_tokens": 10308397.0, + "step": 4590 + }, + { + "entropy": 5.616361284255982, + "epoch": 4.968090859924283, + "grad_norm": 0.9921875, + "learning_rate": 0.0003198204238688178, + "loss": 5.1932, + "mean_token_accuracy": 0.20035981386899948, + "num_tokens": 10319648.0, + "step": 4595 + }, + { + "entropy": 5.652286148071289, + "epoch": 4.973499188750676, + "grad_norm": 0.94140625, + "learning_rate": 0.00031940001997428645, + "loss": 5.1707, + "mean_token_accuracy": 0.2010723575949669, + "num_tokens": 10330922.0, + "step": 4600 + }, + { + "entropy": 5.523626327514648, + "epoch": 4.978907517577069, + "grad_norm": 1.03125, + "learning_rate": 0.00031897945472997996, + "loss": 5.0548, + "mean_token_accuracy": 0.20578106194734574, + "num_tokens": 10341959.0, + "step": 4605 + }, + { + "entropy": 5.5449658870697025, + "epoch": 4.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0003185587296642333, + "loss": 5.1312, + "mean_token_accuracy": 0.21090947985649108, + "num_tokens": 10353125.0, + "step": 4610 + }, + { + "entropy": 5.567223691940308, + "epoch": 4.9897241752298545, + "grad_norm": 1.0546875, + "learning_rate": 0.0003181378463059625, + "loss": 5.155, + "mean_token_accuracy": 0.2045162320137024, + "num_tokens": 10364528.0, + "step": 4615 + }, + { + "entropy": 5.502493953704834, + "epoch": 4.995132504056246, + "grad_norm": 0.8984375, + "learning_rate": 0.0003177168061846584, + "loss": 5.013, + "mean_token_accuracy": 0.21816083341836928, + "num_tokens": 10375252.0, + "step": 4620 + }, + { + "entropy": 5.496442000071208, + "epoch": 5.0, + "grad_norm": 1.84375, + "learning_rate": 0.0003172956108303819, + "loss": 4.9872, + "mean_token_accuracy": 0.216766443517473, + "num_tokens": 10384445.0, + "step": 4625 + }, + { + "entropy": 5.528093242645264, + "epoch": 5.005408328826393, + "grad_norm": 0.88671875, + "learning_rate": 0.0003168742617737579, + "loss": 4.9556, + "mean_token_accuracy": 0.21919166445732116, + "num_tokens": 10396122.0, + "step": 4630 + }, + { + "entropy": 5.603008890151978, + "epoch": 5.010816657652786, + "grad_norm": 0.7890625, + "learning_rate": 0.00031645276054597006, + "loss": 4.9064, + "mean_token_accuracy": 0.2211405813694, + "num_tokens": 10409135.0, + "step": 4635 + }, + { + "entropy": 5.586550092697143, + "epoch": 5.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.00031603110867875435, + "loss": 4.8883, + "mean_token_accuracy": 0.22872422486543656, + "num_tokens": 10421068.0, + "step": 4640 + }, + { + "entropy": 5.501196575164795, + "epoch": 5.0216333153055706, + "grad_norm": 0.953125, + "learning_rate": 0.000315609307704395, + "loss": 4.8529, + "mean_token_accuracy": 0.2281401500105858, + "num_tokens": 10432117.0, + "step": 4645 + }, + { + "entropy": 5.535338020324707, + "epoch": 5.027041644131963, + "grad_norm": 0.8984375, + "learning_rate": 0.0003151873591557176, + "loss": 4.8912, + "mean_token_accuracy": 0.22080296128988267, + "num_tokens": 10443547.0, + "step": 4650 + }, + { + "entropy": 5.5264379501342775, + "epoch": 5.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.00031476526456608415, + "loss": 4.8489, + "mean_token_accuracy": 0.22700522541999818, + "num_tokens": 10455038.0, + "step": 4655 + }, + { + "entropy": 5.550225639343262, + "epoch": 5.037858301784748, + "grad_norm": 0.95703125, + "learning_rate": 0.0003143430254693873, + "loss": 4.9477, + "mean_token_accuracy": 0.21674466133117676, + "num_tokens": 10466682.0, + "step": 4660 + }, + { + "entropy": 5.5271460056304935, + "epoch": 5.043266630611141, + "grad_norm": 1.0078125, + "learning_rate": 0.0003139206434000451, + "loss": 4.9151, + "mean_token_accuracy": 0.22240815162658692, + "num_tokens": 10478575.0, + "step": 4665 + }, + { + "entropy": 5.569495391845703, + "epoch": 5.048674959437534, + "grad_norm": 0.94140625, + "learning_rate": 0.0003134981198929948, + "loss": 4.8959, + "mean_token_accuracy": 0.2266492411494255, + "num_tokens": 10490088.0, + "step": 4670 + }, + { + "entropy": 5.498064756393433, + "epoch": 5.054083288263927, + "grad_norm": 1.0546875, + "learning_rate": 0.00031307545648368777, + "loss": 4.7767, + "mean_token_accuracy": 0.2328466773033142, + "num_tokens": 10499877.0, + "step": 4675 + }, + { + "entropy": 5.46832504272461, + "epoch": 5.059491617090319, + "grad_norm": 0.9765625, + "learning_rate": 0.00031265265470808393, + "loss": 4.7688, + "mean_token_accuracy": 0.23446664959192276, + "num_tokens": 10509830.0, + "step": 4680 + }, + { + "entropy": 5.477397060394287, + "epoch": 5.064899945916712, + "grad_norm": 1.0078125, + "learning_rate": 0.00031222971610264595, + "loss": 4.8014, + "mean_token_accuracy": 0.22999125868082046, + "num_tokens": 10520072.0, + "step": 4685 + }, + { + "entropy": 5.526410722732544, + "epoch": 5.0703082747431045, + "grad_norm": 1.0, + "learning_rate": 0.00031180664220433347, + "loss": 4.9696, + "mean_token_accuracy": 0.22071902453899384, + "num_tokens": 10531260.0, + "step": 4690 + }, + { + "entropy": 5.477414608001709, + "epoch": 5.075716603569497, + "grad_norm": 1.0, + "learning_rate": 0.00031138343455059823, + "loss": 4.8571, + "mean_token_accuracy": 0.22696343213319778, + "num_tokens": 10542971.0, + "step": 4695 + }, + { + "entropy": 5.464529418945313, + "epoch": 5.081124932395889, + "grad_norm": 0.97265625, + "learning_rate": 0.0003109600946793778, + "loss": 4.8392, + "mean_token_accuracy": 0.2284951239824295, + "num_tokens": 10554101.0, + "step": 4700 + }, + { + "entropy": 5.605349922180176, + "epoch": 5.086533261222282, + "grad_norm": 0.94140625, + "learning_rate": 0.00031053662412909024, + "loss": 4.9924, + "mean_token_accuracy": 0.21688981205224991, + "num_tokens": 10565866.0, + "step": 4705 + }, + { + "entropy": 5.453184270858765, + "epoch": 5.091941590048675, + "grad_norm": 0.8671875, + "learning_rate": 0.0003101130244386283, + "loss": 4.8064, + "mean_token_accuracy": 0.23072075247764587, + "num_tokens": 10577276.0, + "step": 4710 + }, + { + "entropy": 5.594261884689331, + "epoch": 5.097349918875068, + "grad_norm": 0.9609375, + "learning_rate": 0.00030968929714735456, + "loss": 5.0054, + "mean_token_accuracy": 0.21874586939811708, + "num_tokens": 10588625.0, + "step": 4715 + }, + { + "entropy": 5.425375604629517, + "epoch": 5.10275824770146, + "grad_norm": 0.96875, + "learning_rate": 0.0003092654437950947, + "loss": 4.8637, + "mean_token_accuracy": 0.22720252275466918, + "num_tokens": 10599833.0, + "step": 4720 + }, + { + "entropy": 5.456516408920288, + "epoch": 5.108166576527853, + "grad_norm": 0.9921875, + "learning_rate": 0.0003088414659221331, + "loss": 4.8677, + "mean_token_accuracy": 0.21797628104686737, + "num_tokens": 10610156.0, + "step": 4725 + }, + { + "entropy": 5.480758142471314, + "epoch": 5.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.000308417365069206, + "loss": 4.8825, + "mean_token_accuracy": 0.22795740216970445, + "num_tokens": 10619839.0, + "step": 4730 + }, + { + "entropy": 5.499576425552368, + "epoch": 5.1189832341806385, + "grad_norm": 0.97265625, + "learning_rate": 0.00030799314277749697, + "loss": 4.8791, + "mean_token_accuracy": 0.22572332620620728, + "num_tokens": 10631671.0, + "step": 4735 + }, + { + "entropy": 5.485957908630371, + "epoch": 5.1243915630070305, + "grad_norm": 1.0, + "learning_rate": 0.00030756880058863085, + "loss": 4.8818, + "mean_token_accuracy": 0.22702433317899703, + "num_tokens": 10642597.0, + "step": 4740 + }, + { + "entropy": 5.547960376739502, + "epoch": 5.129799891833423, + "grad_norm": 1.015625, + "learning_rate": 0.00030714434004466823, + "loss": 4.9414, + "mean_token_accuracy": 0.21335140615701675, + "num_tokens": 10653323.0, + "step": 4745 + }, + { + "entropy": 5.5615216255187985, + "epoch": 5.135208220659816, + "grad_norm": 0.9609375, + "learning_rate": 0.00030671976268809947, + "loss": 4.9737, + "mean_token_accuracy": 0.21917204856872557, + "num_tokens": 10665572.0, + "step": 4750 + }, + { + "entropy": 5.450459241867065, + "epoch": 5.140616549486209, + "grad_norm": 1.09375, + "learning_rate": 0.00030629507006183995, + "loss": 4.8015, + "mean_token_accuracy": 0.22744957357645035, + "num_tokens": 10676686.0, + "step": 4755 + }, + { + "entropy": 5.458092498779297, + "epoch": 5.146024878312601, + "grad_norm": 1.1328125, + "learning_rate": 0.0003058702637092234, + "loss": 4.9562, + "mean_token_accuracy": 0.2186889737844467, + "num_tokens": 10687188.0, + "step": 4760 + }, + { + "entropy": 5.513929224014282, + "epoch": 5.151433207138994, + "grad_norm": 0.95703125, + "learning_rate": 0.00030544534517399724, + "loss": 4.8805, + "mean_token_accuracy": 0.22149462401866912, + "num_tokens": 10698343.0, + "step": 4765 + }, + { + "entropy": 5.509257984161377, + "epoch": 5.156841535965387, + "grad_norm": 0.94921875, + "learning_rate": 0.0003050203160003163, + "loss": 4.8566, + "mean_token_accuracy": 0.2240440934896469, + "num_tokens": 10710732.0, + "step": 4770 + }, + { + "entropy": 5.527531480789184, + "epoch": 5.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.0003045951777327377, + "loss": 4.9337, + "mean_token_accuracy": 0.2243843585252762, + "num_tokens": 10722397.0, + "step": 4775 + }, + { + "entropy": 5.396258449554443, + "epoch": 5.167658193618172, + "grad_norm": 0.96484375, + "learning_rate": 0.0003041699319162148, + "loss": 4.8263, + "mean_token_accuracy": 0.221099328994751, + "num_tokens": 10733714.0, + "step": 4780 + }, + { + "entropy": 5.487423133850098, + "epoch": 5.173066522444564, + "grad_norm": 0.921875, + "learning_rate": 0.00030374458009609193, + "loss": 4.9096, + "mean_token_accuracy": 0.22515179812908173, + "num_tokens": 10745748.0, + "step": 4785 + }, + { + "entropy": 5.6112525939941404, + "epoch": 5.178474851270957, + "grad_norm": 1.015625, + "learning_rate": 0.0003033191238180985, + "loss": 4.9403, + "mean_token_accuracy": 0.2272365614771843, + "num_tokens": 10756094.0, + "step": 4790 + }, + { + "entropy": 5.50868330001831, + "epoch": 5.18388318009735, + "grad_norm": 0.9921875, + "learning_rate": 0.0003028935646283438, + "loss": 4.994, + "mean_token_accuracy": 0.21618228554725646, + "num_tokens": 10768068.0, + "step": 4795 + }, + { + "entropy": 5.4779845714569095, + "epoch": 5.189291508923742, + "grad_norm": 1.03125, + "learning_rate": 0.00030246790407331063, + "loss": 4.8476, + "mean_token_accuracy": 0.2233078360557556, + "num_tokens": 10778917.0, + "step": 4800 + }, + { + "entropy": 5.495712518692017, + "epoch": 5.194699837750135, + "grad_norm": 0.99609375, + "learning_rate": 0.00030204214369985066, + "loss": 4.8669, + "mean_token_accuracy": 0.2277569890022278, + "num_tokens": 10790552.0, + "step": 4805 + }, + { + "entropy": 5.527979612350464, + "epoch": 5.200108166576528, + "grad_norm": 0.94140625, + "learning_rate": 0.00030161628505517797, + "loss": 4.9054, + "mean_token_accuracy": 0.21913376003503798, + "num_tokens": 10803199.0, + "step": 4810 + }, + { + "entropy": 5.44367413520813, + "epoch": 5.205516495402921, + "grad_norm": 0.984375, + "learning_rate": 0.00030119032968686397, + "loss": 4.8415, + "mean_token_accuracy": 0.22889240086078644, + "num_tokens": 10814339.0, + "step": 4815 + }, + { + "entropy": 5.460538148880005, + "epoch": 5.210924824229313, + "grad_norm": 0.9140625, + "learning_rate": 0.00030076427914283127, + "loss": 4.9144, + "mean_token_accuracy": 0.21594512164592744, + "num_tokens": 10825776.0, + "step": 4820 + }, + { + "entropy": 5.530256366729736, + "epoch": 5.2163331530557056, + "grad_norm": 0.99609375, + "learning_rate": 0.00030033813497134864, + "loss": 4.8544, + "mean_token_accuracy": 0.22742793411016465, + "num_tokens": 10837179.0, + "step": 4825 + }, + { + "entropy": 5.434867238998413, + "epoch": 5.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.000299911898721025, + "loss": 4.9009, + "mean_token_accuracy": 0.22611162364482879, + "num_tokens": 10847205.0, + "step": 4830 + }, + { + "entropy": 5.504870128631592, + "epoch": 5.227149810708491, + "grad_norm": 0.859375, + "learning_rate": 0.00029948557194080385, + "loss": 4.8953, + "mean_token_accuracy": 0.2238959863781929, + "num_tokens": 10859895.0, + "step": 4835 + }, + { + "entropy": 5.442061185836792, + "epoch": 5.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.0002990591561799576, + "loss": 4.9241, + "mean_token_accuracy": 0.21286537796258925, + "num_tokens": 10871286.0, + "step": 4840 + }, + { + "entropy": 5.443824434280396, + "epoch": 5.237966468361276, + "grad_norm": 1.03125, + "learning_rate": 0.0002986326529880823, + "loss": 4.756, + "mean_token_accuracy": 0.23349499106407165, + "num_tokens": 10883479.0, + "step": 4845 + }, + { + "entropy": 5.577119398117065, + "epoch": 5.243374797187669, + "grad_norm": 1.125, + "learning_rate": 0.0002982060639150913, + "loss": 4.9296, + "mean_token_accuracy": 0.22659704983234405, + "num_tokens": 10895432.0, + "step": 4850 + }, + { + "entropy": 5.486083078384399, + "epoch": 5.248783126014062, + "grad_norm": 0.953125, + "learning_rate": 0.0002977793905112106, + "loss": 4.9538, + "mean_token_accuracy": 0.22209923714399338, + "num_tokens": 10906891.0, + "step": 4855 + }, + { + "entropy": 5.444073104858399, + "epoch": 5.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00029735263432697183, + "loss": 4.9508, + "mean_token_accuracy": 0.21773838251829147, + "num_tokens": 10917706.0, + "step": 4860 + }, + { + "entropy": 5.456596851348877, + "epoch": 5.259599783666847, + "grad_norm": 0.9609375, + "learning_rate": 0.0002969257969132085, + "loss": 4.9405, + "mean_token_accuracy": 0.2228843316435814, + "num_tokens": 10929325.0, + "step": 4865 + }, + { + "entropy": 5.524547338485718, + "epoch": 5.2650081124932395, + "grad_norm": 1.109375, + "learning_rate": 0.0002964988798210485, + "loss": 4.9319, + "mean_token_accuracy": 0.2103923425078392, + "num_tokens": 10939899.0, + "step": 4870 + }, + { + "entropy": 5.495690202713012, + "epoch": 5.270416441319632, + "grad_norm": 0.9921875, + "learning_rate": 0.0002960718846019095, + "loss": 4.8823, + "mean_token_accuracy": 0.22650152891874314, + "num_tokens": 10949801.0, + "step": 4875 + }, + { + "entropy": 5.351631355285645, + "epoch": 5.275824770146025, + "grad_norm": 1.0078125, + "learning_rate": 0.0002956448128074931, + "loss": 4.7594, + "mean_token_accuracy": 0.2333318457007408, + "num_tokens": 10960191.0, + "step": 4880 + }, + { + "entropy": 5.565910768508911, + "epoch": 5.281233098972417, + "grad_norm": 0.88671875, + "learning_rate": 0.0002952176659897794, + "loss": 5.0229, + "mean_token_accuracy": 0.21818405240774155, + "num_tokens": 10972818.0, + "step": 4885 + }, + { + "entropy": 5.542775964736938, + "epoch": 5.28664142779881, + "grad_norm": 1.015625, + "learning_rate": 0.0002947904457010207, + "loss": 4.9287, + "mean_token_accuracy": 0.21841724514961242, + "num_tokens": 10984320.0, + "step": 4890 + }, + { + "entropy": 5.501249027252197, + "epoch": 5.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0002943631534937366, + "loss": 4.8801, + "mean_token_accuracy": 0.22640899568796158, + "num_tokens": 10995262.0, + "step": 4895 + }, + { + "entropy": 5.385098266601562, + "epoch": 5.297458085451596, + "grad_norm": 0.984375, + "learning_rate": 0.0002939357909207079, + "loss": 4.8709, + "mean_token_accuracy": 0.22468690872192382, + "num_tokens": 11005788.0, + "step": 4900 + }, + { + "entropy": 5.5195540428161625, + "epoch": 5.302866414277988, + "grad_norm": 1.0390625, + "learning_rate": 0.0002935083595349713, + "loss": 4.9028, + "mean_token_accuracy": 0.2290490075945854, + "num_tokens": 11016772.0, + "step": 4905 + }, + { + "entropy": 5.531022310256958, + "epoch": 5.308274743104381, + "grad_norm": 0.92578125, + "learning_rate": 0.00029308086088981335, + "loss": 4.962, + "mean_token_accuracy": 0.22039518356323243, + "num_tokens": 11028917.0, + "step": 4910 + }, + { + "entropy": 5.498329496383667, + "epoch": 5.3136830719307735, + "grad_norm": 1.0546875, + "learning_rate": 0.00029265329653876515, + "loss": 4.9503, + "mean_token_accuracy": 0.21752556413412094, + "num_tokens": 11040500.0, + "step": 4915 + }, + { + "entropy": 5.476529359817505, + "epoch": 5.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.0002922256680355965, + "loss": 4.8668, + "mean_token_accuracy": 0.2250487968325615, + "num_tokens": 11052173.0, + "step": 4920 + }, + { + "entropy": 5.542095422744751, + "epoch": 5.324499729583558, + "grad_norm": 1.109375, + "learning_rate": 0.00029179797693431046, + "loss": 4.8896, + "mean_token_accuracy": 0.22516080290079116, + "num_tokens": 11061917.0, + "step": 4925 + }, + { + "entropy": 5.450285196304321, + "epoch": 5.329908058409951, + "grad_norm": 1.0703125, + "learning_rate": 0.0002913702247891374, + "loss": 4.8752, + "mean_token_accuracy": 0.23229186683893205, + "num_tokens": 11072820.0, + "step": 4930 + }, + { + "entropy": 5.564850187301635, + "epoch": 5.335316387236344, + "grad_norm": 1.0625, + "learning_rate": 0.0002909424131545296, + "loss": 4.9642, + "mean_token_accuracy": 0.22445973008871078, + "num_tokens": 11083140.0, + "step": 4935 + }, + { + "entropy": 5.542190027236939, + "epoch": 5.340724716062737, + "grad_norm": 0.90234375, + "learning_rate": 0.00029051454358515553, + "loss": 4.9289, + "mean_token_accuracy": 0.22055180966854096, + "num_tokens": 11094314.0, + "step": 4940 + }, + { + "entropy": 5.50953254699707, + "epoch": 5.346133044889129, + "grad_norm": 0.92578125, + "learning_rate": 0.00029008661763589436, + "loss": 4.9733, + "mean_token_accuracy": 0.2225899413228035, + "num_tokens": 11106748.0, + "step": 4945 + }, + { + "entropy": 5.510439777374268, + "epoch": 5.351541373715522, + "grad_norm": 0.91796875, + "learning_rate": 0.0002896586368618297, + "loss": 4.9464, + "mean_token_accuracy": 0.22568726241588594, + "num_tokens": 11118702.0, + "step": 4950 + }, + { + "entropy": 5.525369310379029, + "epoch": 5.356949702541915, + "grad_norm": 0.96875, + "learning_rate": 0.00028923060281824483, + "loss": 4.9396, + "mean_token_accuracy": 0.21333917528390883, + "num_tokens": 11130782.0, + "step": 4955 + }, + { + "entropy": 5.4839788436889645, + "epoch": 5.3623580313683075, + "grad_norm": 1.015625, + "learning_rate": 0.0002888025170606165, + "loss": 4.9011, + "mean_token_accuracy": 0.22421319633722306, + "num_tokens": 11142536.0, + "step": 4960 + }, + { + "entropy": 5.483171844482422, + "epoch": 5.367766360194699, + "grad_norm": 1.0, + "learning_rate": 0.00028837438114460924, + "loss": 4.9031, + "mean_token_accuracy": 0.2182278573513031, + "num_tokens": 11154027.0, + "step": 4965 + }, + { + "entropy": 5.48946442604065, + "epoch": 5.373174689021092, + "grad_norm": 1.0625, + "learning_rate": 0.0002879461966260699, + "loss": 4.9259, + "mean_token_accuracy": 0.2160453200340271, + "num_tokens": 11164759.0, + "step": 4970 + }, + { + "entropy": 5.501074504852295, + "epoch": 5.378583017847485, + "grad_norm": 0.953125, + "learning_rate": 0.00028751796506102224, + "loss": 4.9456, + "mean_token_accuracy": 0.22141506671905517, + "num_tokens": 11176341.0, + "step": 4975 + }, + { + "entropy": 5.5393781661987305, + "epoch": 5.383991346673878, + "grad_norm": 0.95703125, + "learning_rate": 0.00028708968800566056, + "loss": 4.906, + "mean_token_accuracy": 0.22104442417621611, + "num_tokens": 11188958.0, + "step": 4980 + }, + { + "entropy": 5.5685571193695065, + "epoch": 5.38939967550027, + "grad_norm": 1.140625, + "learning_rate": 0.00028666136701634474, + "loss": 5.0001, + "mean_token_accuracy": 0.20960879027843476, + "num_tokens": 11200895.0, + "step": 4985 + }, + { + "entropy": 5.529350328445434, + "epoch": 5.394808004326663, + "grad_norm": 0.96875, + "learning_rate": 0.0002862330036495942, + "loss": 4.9108, + "mean_token_accuracy": 0.22896960824728013, + "num_tokens": 11211563.0, + "step": 4990 + }, + { + "entropy": 5.5777318477630615, + "epoch": 5.400216333153056, + "grad_norm": 0.9921875, + "learning_rate": 0.0002858045994620825, + "loss": 5.0099, + "mean_token_accuracy": 0.21429480612277985, + "num_tokens": 11223323.0, + "step": 4995 + }, + { + "entropy": 5.532574558258057, + "epoch": 5.405624661979449, + "grad_norm": 0.9375, + "learning_rate": 0.00028537615601063133, + "loss": 4.9088, + "mean_token_accuracy": 0.2173854023218155, + "num_tokens": 11235991.0, + "step": 5000 + }, + { + "epoch": 5.405624661979449, + "eval_entropy": 5.359868227351796, + "eval_loss": 5.847285270690918, + "eval_mean_token_accuracy": 0.18075780379162593, + "eval_num_tokens": 11235991.0, + "eval_runtime": 3.5358, + "eval_samples_per_second": 994.104, + "eval_steps_per_second": 124.44, + "step": 5000 + }, + { + "entropy": 5.455257225036621, + "epoch": 5.411032990805841, + "grad_norm": 0.9609375, + "learning_rate": 0.0002849476748522052, + "loss": 4.8879, + "mean_token_accuracy": 0.22323424369096756, + "num_tokens": 11247406.0, + "step": 5005 + }, + { + "entropy": 5.3663108348846436, + "epoch": 5.416441319632233, + "grad_norm": 0.89453125, + "learning_rate": 0.0002845191575439057, + "loss": 4.8489, + "mean_token_accuracy": 0.22015611827373505, + "num_tokens": 11259031.0, + "step": 5010 + }, + { + "entropy": 5.463020086288452, + "epoch": 5.421849648458626, + "grad_norm": 0.9609375, + "learning_rate": 0.0002840906056429658, + "loss": 4.9252, + "mean_token_accuracy": 0.2181644394993782, + "num_tokens": 11270321.0, + "step": 5015 + }, + { + "entropy": 5.51222939491272, + "epoch": 5.427257977285019, + "grad_norm": 1.0703125, + "learning_rate": 0.0002836620207067439, + "loss": 5.0229, + "mean_token_accuracy": 0.2076768919825554, + "num_tokens": 11282209.0, + "step": 5020 + }, + { + "entropy": 5.5796140193939205, + "epoch": 5.432666306111411, + "grad_norm": 1.1171875, + "learning_rate": 0.00028323340429271875, + "loss": 4.9472, + "mean_token_accuracy": 0.21594048887491227, + "num_tokens": 11292987.0, + "step": 5025 + }, + { + "entropy": 5.507422924041748, + "epoch": 5.438074634937804, + "grad_norm": 1.0390625, + "learning_rate": 0.0002828047579584833, + "loss": 4.9016, + "mean_token_accuracy": 0.22376736998558044, + "num_tokens": 11303197.0, + "step": 5030 + }, + { + "entropy": 5.413560152053833, + "epoch": 5.443482963764197, + "grad_norm": 0.98828125, + "learning_rate": 0.00028237608326173944, + "loss": 4.8308, + "mean_token_accuracy": 0.23067670911550522, + "num_tokens": 11315229.0, + "step": 5035 + }, + { + "entropy": 5.44630651473999, + "epoch": 5.44889129259059, + "grad_norm": 1.078125, + "learning_rate": 0.00028194738176029206, + "loss": 4.9124, + "mean_token_accuracy": 0.2220005840063095, + "num_tokens": 11326033.0, + "step": 5040 + }, + { + "entropy": 5.43988265991211, + "epoch": 5.4542996214169825, + "grad_norm": 1.0078125, + "learning_rate": 0.00028151865501204316, + "loss": 4.9213, + "mean_token_accuracy": 0.21385481357574462, + "num_tokens": 11335670.0, + "step": 5045 + }, + { + "entropy": 5.48417558670044, + "epoch": 5.4597079502433745, + "grad_norm": 0.91015625, + "learning_rate": 0.00028108990457498696, + "loss": 4.8722, + "mean_token_accuracy": 0.2302040845155716, + "num_tokens": 11346882.0, + "step": 5050 + }, + { + "entropy": 5.480646085739136, + "epoch": 5.465116279069767, + "grad_norm": 1.015625, + "learning_rate": 0.00028066113200720343, + "loss": 4.8288, + "mean_token_accuracy": 0.22758808583021164, + "num_tokens": 11358141.0, + "step": 5055 + }, + { + "entropy": 5.407720994949341, + "epoch": 5.47052460789616, + "grad_norm": 0.984375, + "learning_rate": 0.00028023233886685314, + "loss": 4.8753, + "mean_token_accuracy": 0.22024642527103425, + "num_tokens": 11368981.0, + "step": 5060 + }, + { + "entropy": 5.502127361297608, + "epoch": 5.475932936722553, + "grad_norm": 1.0234375, + "learning_rate": 0.0002798035267121713, + "loss": 5.0012, + "mean_token_accuracy": 0.21348655074834824, + "num_tokens": 11381613.0, + "step": 5065 + }, + { + "entropy": 5.569995927810669, + "epoch": 5.481341265548945, + "grad_norm": 1.046875, + "learning_rate": 0.0002793746971014623, + "loss": 4.9372, + "mean_token_accuracy": 0.22158569246530532, + "num_tokens": 11392321.0, + "step": 5070 + }, + { + "entropy": 5.4565346240997314, + "epoch": 5.486749594375338, + "grad_norm": 1.078125, + "learning_rate": 0.0002789458515930939, + "loss": 4.9292, + "mean_token_accuracy": 0.2208003059029579, + "num_tokens": 11403546.0, + "step": 5075 + }, + { + "entropy": 5.454629850387573, + "epoch": 5.492157923201731, + "grad_norm": 0.98046875, + "learning_rate": 0.00027851699174549164, + "loss": 4.8671, + "mean_token_accuracy": 0.22627684772014617, + "num_tokens": 11415167.0, + "step": 5080 + }, + { + "entropy": 5.518552207946778, + "epoch": 5.497566252028124, + "grad_norm": 1.0234375, + "learning_rate": 0.0002780881191171333, + "loss": 4.8769, + "mean_token_accuracy": 0.22364618480205536, + "num_tokens": 11426715.0, + "step": 5085 + }, + { + "entropy": 5.49597282409668, + "epoch": 5.502974580854516, + "grad_norm": 1.0078125, + "learning_rate": 0.00027765923526654304, + "loss": 4.8677, + "mean_token_accuracy": 0.22670321613550187, + "num_tokens": 11437760.0, + "step": 5090 + }, + { + "entropy": 5.492688322067261, + "epoch": 5.5083829096809085, + "grad_norm": 0.9765625, + "learning_rate": 0.00027723034175228554, + "loss": 4.9421, + "mean_token_accuracy": 0.22019703984260558, + "num_tokens": 11448329.0, + "step": 5095 + }, + { + "entropy": 5.431415700912476, + "epoch": 5.513791238507301, + "grad_norm": 1.046875, + "learning_rate": 0.000276801440132961, + "loss": 4.7698, + "mean_token_accuracy": 0.234079709649086, + "num_tokens": 11459173.0, + "step": 5100 + }, + { + "entropy": 5.4285736083984375, + "epoch": 5.519199567333694, + "grad_norm": 0.9921875, + "learning_rate": 0.0002763725319671989, + "loss": 4.8748, + "mean_token_accuracy": 0.22336506843566895, + "num_tokens": 11470232.0, + "step": 5105 + }, + { + "entropy": 5.375560235977173, + "epoch": 5.524607896160086, + "grad_norm": 1.0234375, + "learning_rate": 0.0002759436188136525, + "loss": 4.8556, + "mean_token_accuracy": 0.22446597516536712, + "num_tokens": 11481181.0, + "step": 5110 + }, + { + "entropy": 5.518925189971924, + "epoch": 5.530016224986479, + "grad_norm": 1.0, + "learning_rate": 0.00027551470223099306, + "loss": 4.9085, + "mean_token_accuracy": 0.2181531310081482, + "num_tokens": 11491772.0, + "step": 5115 + }, + { + "entropy": 5.5260766506195065, + "epoch": 5.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0002750857837779045, + "loss": 4.8638, + "mean_token_accuracy": 0.22381193935871124, + "num_tokens": 11503895.0, + "step": 5120 + }, + { + "entropy": 5.480987071990967, + "epoch": 5.540832882639265, + "grad_norm": 1.0390625, + "learning_rate": 0.0002746568650130775, + "loss": 4.889, + "mean_token_accuracy": 0.22760302275419236, + "num_tokens": 11514189.0, + "step": 5125 + }, + { + "entropy": 5.37455005645752, + "epoch": 5.546241211465657, + "grad_norm": 0.95703125, + "learning_rate": 0.0002742279474952039, + "loss": 4.9044, + "mean_token_accuracy": 0.22398550659418107, + "num_tokens": 11526142.0, + "step": 5130 + }, + { + "entropy": 5.507328224182129, + "epoch": 5.55164954029205, + "grad_norm": 1.0234375, + "learning_rate": 0.00027379903278297086, + "loss": 4.9312, + "mean_token_accuracy": 0.21721230298280716, + "num_tokens": 11537061.0, + "step": 5135 + }, + { + "entropy": 5.530687284469605, + "epoch": 5.5570578691184425, + "grad_norm": 1.0234375, + "learning_rate": 0.00027337012243505536, + "loss": 5.0297, + "mean_token_accuracy": 0.20581408888101577, + "num_tokens": 11547319.0, + "step": 5140 + }, + { + "entropy": 5.504242658615112, + "epoch": 5.562466197944835, + "grad_norm": 0.98828125, + "learning_rate": 0.00027294121801011887, + "loss": 4.9418, + "mean_token_accuracy": 0.22116187661886216, + "num_tokens": 11558766.0, + "step": 5145 + }, + { + "entropy": 5.4529502391815186, + "epoch": 5.567874526771227, + "grad_norm": 1.0, + "learning_rate": 0.00027251232106680084, + "loss": 4.8547, + "mean_token_accuracy": 0.2266584575176239, + "num_tokens": 11570039.0, + "step": 5150 + }, + { + "entropy": 5.399138593673706, + "epoch": 5.57328285559762, + "grad_norm": 1.0078125, + "learning_rate": 0.00027208343316371383, + "loss": 4.8922, + "mean_token_accuracy": 0.2278255820274353, + "num_tokens": 11581664.0, + "step": 5155 + }, + { + "entropy": 5.466609287261963, + "epoch": 5.578691184424013, + "grad_norm": 0.9296875, + "learning_rate": 0.0002716545558594373, + "loss": 4.9241, + "mean_token_accuracy": 0.2118991419672966, + "num_tokens": 11592689.0, + "step": 5160 + }, + { + "entropy": 5.508473634719849, + "epoch": 5.584099513250406, + "grad_norm": 0.99609375, + "learning_rate": 0.0002712256907125126, + "loss": 4.8443, + "mean_token_accuracy": 0.2241092950105667, + "num_tokens": 11604315.0, + "step": 5165 + }, + { + "entropy": 5.543499088287353, + "epoch": 5.589507842076799, + "grad_norm": 1.0703125, + "learning_rate": 0.0002707968392814366, + "loss": 4.9643, + "mean_token_accuracy": 0.22009238004684448, + "num_tokens": 11614510.0, + "step": 5170 + }, + { + "entropy": 5.469890308380127, + "epoch": 5.594916170903191, + "grad_norm": 0.97265625, + "learning_rate": 0.00027036800312465635, + "loss": 4.8773, + "mean_token_accuracy": 0.22867128401994705, + "num_tokens": 11625501.0, + "step": 5175 + }, + { + "entropy": 5.535786056518555, + "epoch": 5.600324499729584, + "grad_norm": 1.0546875, + "learning_rate": 0.0002699391838005634, + "loss": 4.9374, + "mean_token_accuracy": 0.22422817051410676, + "num_tokens": 11636841.0, + "step": 5180 + }, + { + "entropy": 5.418750333786011, + "epoch": 5.605732828555976, + "grad_norm": 1.0859375, + "learning_rate": 0.00026951038286748824, + "loss": 4.8465, + "mean_token_accuracy": 0.2297739565372467, + "num_tokens": 11647475.0, + "step": 5185 + }, + { + "entropy": 5.530784225463867, + "epoch": 5.611141157382368, + "grad_norm": 0.96875, + "learning_rate": 0.0002690816018836945, + "loss": 4.9507, + "mean_token_accuracy": 0.2173537626862526, + "num_tokens": 11658887.0, + "step": 5190 + }, + { + "entropy": 5.471008729934693, + "epoch": 5.616549486208761, + "grad_norm": 1.0, + "learning_rate": 0.0002686528424073731, + "loss": 5.0088, + "mean_token_accuracy": 0.21145847886800767, + "num_tokens": 11669658.0, + "step": 5195 + }, + { + "entropy": 5.535061264038086, + "epoch": 5.621957815035154, + "grad_norm": 0.953125, + "learning_rate": 0.00026822410599663704, + "loss": 4.9716, + "mean_token_accuracy": 0.21699988692998887, + "num_tokens": 11681792.0, + "step": 5200 + }, + { + "entropy": 5.509040117263794, + "epoch": 5.627366143861547, + "grad_norm": 1.078125, + "learning_rate": 0.00026779539420951554, + "loss": 4.9293, + "mean_token_accuracy": 0.21873082220554352, + "num_tokens": 11691903.0, + "step": 5205 + }, + { + "entropy": 5.532304048538208, + "epoch": 5.63277447268794, + "grad_norm": 1.0390625, + "learning_rate": 0.0002673667086039481, + "loss": 4.9355, + "mean_token_accuracy": 0.22825905084609985, + "num_tokens": 11703383.0, + "step": 5210 + }, + { + "entropy": 5.5031740188598635, + "epoch": 5.638182801514332, + "grad_norm": 1.03125, + "learning_rate": 0.0002669380507377792, + "loss": 4.9336, + "mean_token_accuracy": 0.22372952252626419, + "num_tokens": 11714721.0, + "step": 5215 + }, + { + "entropy": 5.449891853332519, + "epoch": 5.643591130340725, + "grad_norm": 1.0234375, + "learning_rate": 0.0002665094221687525, + "loss": 4.935, + "mean_token_accuracy": 0.21551574170589446, + "num_tokens": 11726016.0, + "step": 5220 + }, + { + "entropy": 5.413540506362915, + "epoch": 5.6489994591671175, + "grad_norm": 1.0234375, + "learning_rate": 0.0002660808244545054, + "loss": 4.7575, + "mean_token_accuracy": 0.23251993656158448, + "num_tokens": 11737589.0, + "step": 5225 + }, + { + "entropy": 5.4685218811035154, + "epoch": 5.6544077879935095, + "grad_norm": 0.91796875, + "learning_rate": 0.00026565225915256276, + "loss": 4.8658, + "mean_token_accuracy": 0.22948329597711564, + "num_tokens": 11747969.0, + "step": 5230 + }, + { + "entropy": 5.443226861953735, + "epoch": 5.659816116819902, + "grad_norm": 1.0625, + "learning_rate": 0.000265223727820332, + "loss": 4.836, + "mean_token_accuracy": 0.22504404336214065, + "num_tokens": 11759535.0, + "step": 5235 + }, + { + "entropy": 5.523590898513794, + "epoch": 5.665224445646295, + "grad_norm": 1.0390625, + "learning_rate": 0.0002647952320150969, + "loss": 4.9775, + "mean_token_accuracy": 0.21442292630672455, + "num_tokens": 11770863.0, + "step": 5240 + }, + { + "entropy": 5.485964727401734, + "epoch": 5.670632774472688, + "grad_norm": 1.015625, + "learning_rate": 0.0002643667732940122, + "loss": 4.9001, + "mean_token_accuracy": 0.216877081990242, + "num_tokens": 11782643.0, + "step": 5245 + }, + { + "entropy": 5.467176008224487, + "epoch": 5.676041103299081, + "grad_norm": 0.94921875, + "learning_rate": 0.00026393835321409796, + "loss": 4.933, + "mean_token_accuracy": 0.22458599954843522, + "num_tokens": 11794468.0, + "step": 5250 + }, + { + "entropy": 5.514464282989502, + "epoch": 5.681449432125473, + "grad_norm": 0.99609375, + "learning_rate": 0.00026350997333223375, + "loss": 4.8836, + "mean_token_accuracy": 0.23128425031900407, + "num_tokens": 11807051.0, + "step": 5255 + }, + { + "entropy": 5.432554149627686, + "epoch": 5.686857760951866, + "grad_norm": 1.046875, + "learning_rate": 0.00026308163520515293, + "loss": 4.9193, + "mean_token_accuracy": 0.21702346503734588, + "num_tokens": 11817067.0, + "step": 5260 + }, + { + "entropy": 5.428543901443481, + "epoch": 5.692266089778259, + "grad_norm": 0.9375, + "learning_rate": 0.00026265334038943735, + "loss": 4.919, + "mean_token_accuracy": 0.22408238500356675, + "num_tokens": 11828111.0, + "step": 5265 + }, + { + "entropy": 5.502649211883545, + "epoch": 5.6976744186046515, + "grad_norm": 0.98828125, + "learning_rate": 0.0002622250904415113, + "loss": 4.8822, + "mean_token_accuracy": 0.2273074984550476, + "num_tokens": 11838536.0, + "step": 5270 + }, + { + "entropy": 5.53525743484497, + "epoch": 5.7030827474310435, + "grad_norm": 1.0234375, + "learning_rate": 0.0002617968869176362, + "loss": 4.9228, + "mean_token_accuracy": 0.22227408438920976, + "num_tokens": 11848899.0, + "step": 5275 + }, + { + "entropy": 5.473860883712769, + "epoch": 5.708491076257436, + "grad_norm": 0.98046875, + "learning_rate": 0.0002613687313739044, + "loss": 4.9651, + "mean_token_accuracy": 0.22359169721603395, + "num_tokens": 11861023.0, + "step": 5280 + }, + { + "entropy": 5.43254508972168, + "epoch": 5.713899405083829, + "grad_norm": 1.015625, + "learning_rate": 0.0002609406253662344, + "loss": 4.9318, + "mean_token_accuracy": 0.21903841942548752, + "num_tokens": 11871953.0, + "step": 5285 + }, + { + "entropy": 5.501645612716675, + "epoch": 5.719307733910222, + "grad_norm": 1.1171875, + "learning_rate": 0.0002605125704503643, + "loss": 4.9505, + "mean_token_accuracy": 0.2237919017672539, + "num_tokens": 11882874.0, + "step": 5290 + }, + { + "entropy": 5.58112268447876, + "epoch": 5.724716062736614, + "grad_norm": 0.95703125, + "learning_rate": 0.0002600845681818467, + "loss": 4.8646, + "mean_token_accuracy": 0.22650408893823623, + "num_tokens": 11893431.0, + "step": 5295 + }, + { + "entropy": 5.454003143310547, + "epoch": 5.730124391563007, + "grad_norm": 0.9296875, + "learning_rate": 0.0002596566201160427, + "loss": 4.8851, + "mean_token_accuracy": 0.22219976037740707, + "num_tokens": 11905311.0, + "step": 5300 + }, + { + "entropy": 5.404032039642334, + "epoch": 5.7355327203894, + "grad_norm": 1.0078125, + "learning_rate": 0.00025922872780811664, + "loss": 4.9546, + "mean_token_accuracy": 0.21621623486280442, + "num_tokens": 11916342.0, + "step": 5305 + }, + { + "entropy": 5.492973470687867, + "epoch": 5.740941049215793, + "grad_norm": 1.046875, + "learning_rate": 0.00025880089281303027, + "loss": 4.9193, + "mean_token_accuracy": 0.21626884043216704, + "num_tokens": 11927485.0, + "step": 5310 + }, + { + "entropy": 5.476612329483032, + "epoch": 5.746349378042185, + "grad_norm": 1.015625, + "learning_rate": 0.00025837311668553683, + "loss": 4.8302, + "mean_token_accuracy": 0.2276885449886322, + "num_tokens": 11937968.0, + "step": 5315 + }, + { + "entropy": 5.44808611869812, + "epoch": 5.7517577068685775, + "grad_norm": 1.09375, + "learning_rate": 0.0002579454009801757, + "loss": 4.7927, + "mean_token_accuracy": 0.23528771847486496, + "num_tokens": 11947510.0, + "step": 5320 + }, + { + "entropy": 5.477059698104858, + "epoch": 5.75716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.0002575177472512669, + "loss": 4.9526, + "mean_token_accuracy": 0.2218560740351677, + "num_tokens": 11960002.0, + "step": 5325 + }, + { + "entropy": 5.444899559020996, + "epoch": 5.762574364521363, + "grad_norm": 0.9921875, + "learning_rate": 0.000257090157052905, + "loss": 4.8705, + "mean_token_accuracy": 0.21838984936475753, + "num_tokens": 11970895.0, + "step": 5330 + }, + { + "entropy": 5.459397077560425, + "epoch": 5.767982693347756, + "grad_norm": 1.015625, + "learning_rate": 0.00025666263193895375, + "loss": 4.888, + "mean_token_accuracy": 0.21968889981508255, + "num_tokens": 11982910.0, + "step": 5335 + }, + { + "entropy": 5.511087703704834, + "epoch": 5.773391022174148, + "grad_norm": 1.0546875, + "learning_rate": 0.00025623517346304027, + "loss": 4.9507, + "mean_token_accuracy": 0.21630610823631286, + "num_tokens": 11994066.0, + "step": 5340 + }, + { + "entropy": 5.47811861038208, + "epoch": 5.778799351000541, + "grad_norm": 0.96484375, + "learning_rate": 0.00025580778317855, + "loss": 4.8659, + "mean_token_accuracy": 0.22627412974834443, + "num_tokens": 12004821.0, + "step": 5345 + }, + { + "entropy": 5.475780200958252, + "epoch": 5.784207679826934, + "grad_norm": 1.0859375, + "learning_rate": 0.0002553804626386199, + "loss": 4.9451, + "mean_token_accuracy": 0.2223440647125244, + "num_tokens": 12014973.0, + "step": 5350 + }, + { + "entropy": 5.551906108856201, + "epoch": 5.789616008653326, + "grad_norm": 0.9453125, + "learning_rate": 0.0002549532133961339, + "loss": 5.0273, + "mean_token_accuracy": 0.2145695760846138, + "num_tokens": 12026528.0, + "step": 5355 + }, + { + "entropy": 5.607546472549439, + "epoch": 5.795024337479719, + "grad_norm": 1.0625, + "learning_rate": 0.00025452603700371675, + "loss": 5.0506, + "mean_token_accuracy": 0.21419217735528945, + "num_tokens": 12038733.0, + "step": 5360 + }, + { + "entropy": 5.5201372623443605, + "epoch": 5.800432666306111, + "grad_norm": 1.015625, + "learning_rate": 0.0002540989350137285, + "loss": 4.9722, + "mean_token_accuracy": 0.21627445071935653, + "num_tokens": 12049821.0, + "step": 5365 + }, + { + "entropy": 5.565732765197754, + "epoch": 5.805840995132504, + "grad_norm": 0.99609375, + "learning_rate": 0.00025367190897825873, + "loss": 4.9698, + "mean_token_accuracy": 0.21938712447881697, + "num_tokens": 12060982.0, + "step": 5370 + }, + { + "entropy": 5.489997673034668, + "epoch": 5.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 0.0002532449604491209, + "loss": 4.8542, + "mean_token_accuracy": 0.2305293619632721, + "num_tokens": 12070842.0, + "step": 5375 + }, + { + "entropy": 5.4013769149780275, + "epoch": 5.816657652785289, + "grad_norm": 1.0859375, + "learning_rate": 0.0002528180909778471, + "loss": 4.8389, + "mean_token_accuracy": 0.2326238349080086, + "num_tokens": 12080992.0, + "step": 5380 + }, + { + "entropy": 5.480729961395264, + "epoch": 5.822065981611682, + "grad_norm": 1.046875, + "learning_rate": 0.00025239130211568206, + "loss": 4.9151, + "mean_token_accuracy": 0.22242391854524612, + "num_tokens": 12091905.0, + "step": 5385 + }, + { + "entropy": 5.520739364624023, + "epoch": 5.827474310438075, + "grad_norm": 0.98828125, + "learning_rate": 0.00025196459541357725, + "loss": 4.817, + "mean_token_accuracy": 0.22727247029542924, + "num_tokens": 12101577.0, + "step": 5390 + }, + { + "entropy": 5.555675268173218, + "epoch": 5.832882639264467, + "grad_norm": 1.078125, + "learning_rate": 0.00025153797242218604, + "loss": 5.017, + "mean_token_accuracy": 0.21263125836849212, + "num_tokens": 12112593.0, + "step": 5395 + }, + { + "entropy": 5.465591239929199, + "epoch": 5.83829096809086, + "grad_norm": 1.0625, + "learning_rate": 0.00025111143469185715, + "loss": 4.8337, + "mean_token_accuracy": 0.22807640731334686, + "num_tokens": 12122947.0, + "step": 5400 + }, + { + "entropy": 5.38767294883728, + "epoch": 5.8436992969172525, + "grad_norm": 1.03125, + "learning_rate": 0.0002506849837726299, + "loss": 4.7973, + "mean_token_accuracy": 0.23990508764982224, + "num_tokens": 12133557.0, + "step": 5405 + }, + { + "entropy": 5.5033042430877686, + "epoch": 5.849107625743645, + "grad_norm": 0.9921875, + "learning_rate": 0.0002502586212142278, + "loss": 4.9525, + "mean_token_accuracy": 0.21751385182142258, + "num_tokens": 12144735.0, + "step": 5410 + }, + { + "entropy": 5.468432903289795, + "epoch": 5.854515954570038, + "grad_norm": 1.03125, + "learning_rate": 0.00024983234856605337, + "loss": 4.9072, + "mean_token_accuracy": 0.22422076314687728, + "num_tokens": 12155786.0, + "step": 5415 + }, + { + "entropy": 5.499530363082886, + "epoch": 5.85992428339643, + "grad_norm": 0.84375, + "learning_rate": 0.00024940616737718235, + "loss": 5.0033, + "mean_token_accuracy": 0.21500488370656967, + "num_tokens": 12168846.0, + "step": 5420 + }, + { + "entropy": 5.475531673431396, + "epoch": 5.865332612222823, + "grad_norm": 0.98828125, + "learning_rate": 0.0002489800791963583, + "loss": 4.8433, + "mean_token_accuracy": 0.21648556888103485, + "num_tokens": 12179743.0, + "step": 5425 + }, + { + "entropy": 5.5550652027130125, + "epoch": 5.870740941049216, + "grad_norm": 1.0546875, + "learning_rate": 0.00024855408557198657, + "loss": 4.9396, + "mean_token_accuracy": 0.2263997510075569, + "num_tokens": 12190754.0, + "step": 5430 + }, + { + "entropy": 5.522177076339721, + "epoch": 5.876149269875609, + "grad_norm": 1.0234375, + "learning_rate": 0.000248128188052129, + "loss": 4.926, + "mean_token_accuracy": 0.2201258659362793, + "num_tokens": 12201293.0, + "step": 5435 + }, + { + "entropy": 5.500701284408569, + "epoch": 5.881557598702001, + "grad_norm": 0.87890625, + "learning_rate": 0.00024770238818449804, + "loss": 4.9843, + "mean_token_accuracy": 0.22035838961601256, + "num_tokens": 12214361.0, + "step": 5440 + }, + { + "entropy": 5.56159987449646, + "epoch": 5.886965927528394, + "grad_norm": 1.0546875, + "learning_rate": 0.00024727668751645164, + "loss": 5.0753, + "mean_token_accuracy": 0.20683244466781617, + "num_tokens": 12226766.0, + "step": 5445 + }, + { + "entropy": 5.542806959152221, + "epoch": 5.8923742563547865, + "grad_norm": 1.1640625, + "learning_rate": 0.0002468510875949868, + "loss": 4.9784, + "mean_token_accuracy": 0.22004477828741073, + "num_tokens": 12237339.0, + "step": 5450 + }, + { + "entropy": 5.454771566390991, + "epoch": 5.897782585181179, + "grad_norm": 0.95703125, + "learning_rate": 0.00024642558996673474, + "loss": 4.8806, + "mean_token_accuracy": 0.233289235830307, + "num_tokens": 12248567.0, + "step": 5455 + }, + { + "entropy": 5.475730228424072, + "epoch": 5.903190914007571, + "grad_norm": 1.0546875, + "learning_rate": 0.00024600019617795465, + "loss": 4.8715, + "mean_token_accuracy": 0.22850371301174163, + "num_tokens": 12258968.0, + "step": 5460 + }, + { + "entropy": 5.529723405838013, + "epoch": 5.908599242833964, + "grad_norm": 0.94140625, + "learning_rate": 0.0002455749077745288, + "loss": 4.9315, + "mean_token_accuracy": 0.22943497598171234, + "num_tokens": 12271233.0, + "step": 5465 + }, + { + "entropy": 5.481137132644653, + "epoch": 5.914007571660357, + "grad_norm": 1.03125, + "learning_rate": 0.00024514972630195603, + "loss": 4.894, + "mean_token_accuracy": 0.21706456691026688, + "num_tokens": 12280634.0, + "step": 5470 + }, + { + "entropy": 5.46374282836914, + "epoch": 5.91941590048675, + "grad_norm": 0.9765625, + "learning_rate": 0.0002447246533053469, + "loss": 4.9344, + "mean_token_accuracy": 0.2250108987092972, + "num_tokens": 12292282.0, + "step": 5475 + }, + { + "entropy": 5.479931974411011, + "epoch": 5.924824229313142, + "grad_norm": 1.0703125, + "learning_rate": 0.00024429969032941756, + "loss": 4.9556, + "mean_token_accuracy": 0.2212103560566902, + "num_tokens": 12303940.0, + "step": 5480 + }, + { + "entropy": 5.509561538696289, + "epoch": 5.930232558139535, + "grad_norm": 1.1171875, + "learning_rate": 0.00024387483891848456, + "loss": 4.9408, + "mean_token_accuracy": 0.2256838709115982, + "num_tokens": 12315400.0, + "step": 5485 + }, + { + "entropy": 5.5094701766967775, + "epoch": 5.935640886965928, + "grad_norm": 0.91796875, + "learning_rate": 0.00024345010061645889, + "loss": 4.9519, + "mean_token_accuracy": 0.21615981161594391, + "num_tokens": 12327462.0, + "step": 5490 + }, + { + "entropy": 5.516644716262817, + "epoch": 5.9410492157923205, + "grad_norm": 0.9296875, + "learning_rate": 0.00024302547696684047, + "loss": 4.9017, + "mean_token_accuracy": 0.22320225536823274, + "num_tokens": 12338966.0, + "step": 5495 + }, + { + "entropy": 5.397993087768555, + "epoch": 5.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00024260096951271253, + "loss": 4.8006, + "mean_token_accuracy": 0.228230282664299, + "num_tokens": 12349663.0, + "step": 5500 + }, + { + "epoch": 5.9464575446187125, + "eval_entropy": 5.341046702861786, + "eval_loss": 5.824895858764648, + "eval_mean_token_accuracy": 0.18257011164995757, + "eval_num_tokens": 12349663.0, + "eval_runtime": 3.5324, + "eval_samples_per_second": 995.086, + "eval_steps_per_second": 124.563, + "step": 5500 + }, + { + "entropy": 5.416959285736084, + "epoch": 5.951865873445105, + "grad_norm": 0.890625, + "learning_rate": 0.00024217657979673634, + "loss": 4.8534, + "mean_token_accuracy": 0.22373966872692108, + "num_tokens": 12361304.0, + "step": 5505 + }, + { + "entropy": 5.374241685867309, + "epoch": 5.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.00024175230936114507, + "loss": 4.8172, + "mean_token_accuracy": 0.23078879565000535, + "num_tokens": 12372162.0, + "step": 5510 + }, + { + "entropy": 5.468687248229981, + "epoch": 5.962682531097891, + "grad_norm": 0.91015625, + "learning_rate": 0.0002413281597477384, + "loss": 4.8529, + "mean_token_accuracy": 0.22456154525279998, + "num_tokens": 12383916.0, + "step": 5515 + }, + { + "entropy": 5.549963569641113, + "epoch": 5.968090859924283, + "grad_norm": 1.0859375, + "learning_rate": 0.00024090413249787696, + "loss": 4.9632, + "mean_token_accuracy": 0.21773760467767717, + "num_tokens": 12394787.0, + "step": 5520 + }, + { + "entropy": 5.505368185043335, + "epoch": 5.973499188750676, + "grad_norm": 0.99609375, + "learning_rate": 0.0002404802291524768, + "loss": 4.8776, + "mean_token_accuracy": 0.23071094900369643, + "num_tokens": 12405905.0, + "step": 5525 + }, + { + "entropy": 5.4695710182189945, + "epoch": 5.978907517577069, + "grad_norm": 0.9140625, + "learning_rate": 0.00024005645125200375, + "loss": 4.9449, + "mean_token_accuracy": 0.2118888556957245, + "num_tokens": 12416785.0, + "step": 5530 + }, + { + "entropy": 5.4431023597717285, + "epoch": 5.984315846403462, + "grad_norm": 0.96484375, + "learning_rate": 0.0002396328003364675, + "loss": 4.8562, + "mean_token_accuracy": 0.22554307878017427, + "num_tokens": 12427900.0, + "step": 5535 + }, + { + "entropy": 5.566122770309448, + "epoch": 5.9897241752298545, + "grad_norm": 0.9765625, + "learning_rate": 0.00023920927794541665, + "loss": 4.9858, + "mean_token_accuracy": 0.22574359327554702, + "num_tokens": 12439823.0, + "step": 5540 + }, + { + "entropy": 5.481858730316162, + "epoch": 5.995132504056246, + "grad_norm": 0.97265625, + "learning_rate": 0.0002387858856179324, + "loss": 4.9084, + "mean_token_accuracy": 0.21990197598934175, + "num_tokens": 12450988.0, + "step": 5545 + }, + { + "entropy": 5.593845897250706, + "epoch": 6.0, + "grad_norm": 1.59375, + "learning_rate": 0.00023836262489262361, + "loss": 4.9818, + "mean_token_accuracy": 0.2241312480635113, + "num_tokens": 12461334.0, + "step": 5550 + }, + { + "entropy": 5.482817697525024, + "epoch": 6.005408328826393, + "grad_norm": 1.0234375, + "learning_rate": 0.00023793949730762049, + "loss": 4.711, + "mean_token_accuracy": 0.23801302611827851, + "num_tokens": 12473206.0, + "step": 5555 + }, + { + "entropy": 5.48074688911438, + "epoch": 6.010816657652786, + "grad_norm": 0.96484375, + "learning_rate": 0.00023751650440056982, + "loss": 4.8304, + "mean_token_accuracy": 0.22817761451005936, + "num_tokens": 12484247.0, + "step": 5560 + }, + { + "entropy": 5.4692436218261715, + "epoch": 6.016224986479178, + "grad_norm": 1.015625, + "learning_rate": 0.00023709364770862885, + "loss": 4.7426, + "mean_token_accuracy": 0.23947408199310302, + "num_tokens": 12495234.0, + "step": 5565 + }, + { + "entropy": 5.456657409667969, + "epoch": 6.0216333153055706, + "grad_norm": 1.1015625, + "learning_rate": 0.00023667092876845976, + "loss": 4.855, + "mean_token_accuracy": 0.2362171694636345, + "num_tokens": 12506516.0, + "step": 5570 + }, + { + "entropy": 5.474831008911133, + "epoch": 6.027041644131963, + "grad_norm": 1.046875, + "learning_rate": 0.0002362483491162239, + "loss": 4.7585, + "mean_token_accuracy": 0.23608235716819764, + "num_tokens": 12517238.0, + "step": 5575 + }, + { + "entropy": 5.505292367935181, + "epoch": 6.032449972958356, + "grad_norm": 1.0, + "learning_rate": 0.00023582591028757706, + "loss": 4.7658, + "mean_token_accuracy": 0.2349627658724785, + "num_tokens": 12527212.0, + "step": 5580 + }, + { + "entropy": 5.498833179473877, + "epoch": 6.037858301784748, + "grad_norm": 1.140625, + "learning_rate": 0.00023540361381766274, + "loss": 4.7521, + "mean_token_accuracy": 0.24202902466058732, + "num_tokens": 12537939.0, + "step": 5585 + }, + { + "entropy": 5.450468730926514, + "epoch": 6.043266630611141, + "grad_norm": 1.1015625, + "learning_rate": 0.0002349814612411073, + "loss": 4.7608, + "mean_token_accuracy": 0.2359851762652397, + "num_tokens": 12547987.0, + "step": 5590 + }, + { + "entropy": 5.448811483383179, + "epoch": 6.048674959437534, + "grad_norm": 1.078125, + "learning_rate": 0.00023455945409201411, + "loss": 4.7812, + "mean_token_accuracy": 0.22653527408838273, + "num_tokens": 12558505.0, + "step": 5595 + }, + { + "entropy": 5.464963436126709, + "epoch": 6.054083288263927, + "grad_norm": 0.94921875, + "learning_rate": 0.00023413759390395828, + "loss": 4.7156, + "mean_token_accuracy": 0.2361931696534157, + "num_tokens": 12569748.0, + "step": 5600 + }, + { + "entropy": 5.405935955047608, + "epoch": 6.059491617090319, + "grad_norm": 0.97265625, + "learning_rate": 0.0002337158822099807, + "loss": 4.6811, + "mean_token_accuracy": 0.23703676611185073, + "num_tokens": 12581420.0, + "step": 5605 + }, + { + "entropy": 5.496515464782715, + "epoch": 6.064899945916712, + "grad_norm": 0.97265625, + "learning_rate": 0.0002332943205425825, + "loss": 4.7871, + "mean_token_accuracy": 0.23721451163291932, + "num_tokens": 12593781.0, + "step": 5610 + }, + { + "entropy": 5.41494345664978, + "epoch": 6.0703082747431045, + "grad_norm": 0.96875, + "learning_rate": 0.00023287291043371978, + "loss": 4.7303, + "mean_token_accuracy": 0.23353902548551558, + "num_tokens": 12606264.0, + "step": 5615 + }, + { + "entropy": 5.530503511428833, + "epoch": 6.075716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.00023245165341479796, + "loss": 4.7879, + "mean_token_accuracy": 0.23578621298074723, + "num_tokens": 12617419.0, + "step": 5620 + }, + { + "entropy": 5.488958168029785, + "epoch": 6.081124932395889, + "grad_norm": 0.9921875, + "learning_rate": 0.00023203055101666593, + "loss": 4.7215, + "mean_token_accuracy": 0.23366791605949402, + "num_tokens": 12628628.0, + "step": 5625 + }, + { + "entropy": 5.430446004867553, + "epoch": 6.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 0.0002316096047696108, + "loss": 4.7062, + "mean_token_accuracy": 0.236600761115551, + "num_tokens": 12638375.0, + "step": 5630 + }, + { + "entropy": 5.397326183319092, + "epoch": 6.091941590048675, + "grad_norm": 1.0078125, + "learning_rate": 0.0002311888162033522, + "loss": 4.7394, + "mean_token_accuracy": 0.22856123596429825, + "num_tokens": 12649174.0, + "step": 5635 + }, + { + "entropy": 5.44256558418274, + "epoch": 6.097349918875068, + "grad_norm": 1.1171875, + "learning_rate": 0.00023076818684703682, + "loss": 4.699, + "mean_token_accuracy": 0.24027512669563295, + "num_tokens": 12659454.0, + "step": 5640 + }, + { + "entropy": 5.453388214111328, + "epoch": 6.10275824770146, + "grad_norm": 0.890625, + "learning_rate": 0.00023034771822923268, + "loss": 4.7424, + "mean_token_accuracy": 0.23804700821638108, + "num_tokens": 12672093.0, + "step": 5645 + }, + { + "entropy": 5.454080533981323, + "epoch": 6.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0002299274118779236, + "loss": 4.785, + "mean_token_accuracy": 0.2312723308801651, + "num_tokens": 12683628.0, + "step": 5650 + }, + { + "entropy": 5.4466057300567625, + "epoch": 6.113574905354246, + "grad_norm": 1.046875, + "learning_rate": 0.00022950726932050386, + "loss": 4.7334, + "mean_token_accuracy": 0.23570535182952881, + "num_tokens": 12694726.0, + "step": 5655 + }, + { + "entropy": 5.5058012962341305, + "epoch": 6.1189832341806385, + "grad_norm": 1.0234375, + "learning_rate": 0.00022908729208377267, + "loss": 4.7932, + "mean_token_accuracy": 0.23238887786865234, + "num_tokens": 12705292.0, + "step": 5660 + }, + { + "entropy": 5.484908533096314, + "epoch": 6.1243915630070305, + "grad_norm": 0.96484375, + "learning_rate": 0.00022866748169392815, + "loss": 4.7849, + "mean_token_accuracy": 0.23078074902296067, + "num_tokens": 12717721.0, + "step": 5665 + }, + { + "entropy": 5.498049545288086, + "epoch": 6.129799891833423, + "grad_norm": 1.1171875, + "learning_rate": 0.00022824783967656208, + "loss": 4.7845, + "mean_token_accuracy": 0.2278717815876007, + "num_tokens": 12728360.0, + "step": 5670 + }, + { + "entropy": 5.479033756256103, + "epoch": 6.135208220659816, + "grad_norm": 0.99609375, + "learning_rate": 0.00022782836755665475, + "loss": 4.8063, + "mean_token_accuracy": 0.23036560267210007, + "num_tokens": 12739771.0, + "step": 5675 + }, + { + "entropy": 5.458578395843506, + "epoch": 6.140616549486209, + "grad_norm": 0.9921875, + "learning_rate": 0.00022740906685856876, + "loss": 4.7555, + "mean_token_accuracy": 0.23326312750577927, + "num_tokens": 12750024.0, + "step": 5680 + }, + { + "entropy": 5.433383131027222, + "epoch": 6.146024878312601, + "grad_norm": 1.03125, + "learning_rate": 0.00022698993910604383, + "loss": 4.7345, + "mean_token_accuracy": 0.23391510397195817, + "num_tokens": 12761160.0, + "step": 5685 + }, + { + "entropy": 5.495377540588379, + "epoch": 6.151433207138994, + "grad_norm": 1.0, + "learning_rate": 0.000226570985822191, + "loss": 4.7313, + "mean_token_accuracy": 0.24146672785282136, + "num_tokens": 12773043.0, + "step": 5690 + }, + { + "entropy": 5.40164361000061, + "epoch": 6.156841535965387, + "grad_norm": 0.984375, + "learning_rate": 0.00022615220852948765, + "loss": 4.7302, + "mean_token_accuracy": 0.23376860320568085, + "num_tokens": 12783479.0, + "step": 5695 + }, + { + "entropy": 5.515926313400269, + "epoch": 6.16224986479178, + "grad_norm": 0.93359375, + "learning_rate": 0.00022573360874977145, + "loss": 4.8247, + "mean_token_accuracy": 0.23175337463617324, + "num_tokens": 12794889.0, + "step": 5700 + }, + { + "entropy": 5.480621385574341, + "epoch": 6.167658193618172, + "grad_norm": 1.0625, + "learning_rate": 0.00022531518800423484, + "loss": 4.7982, + "mean_token_accuracy": 0.22605834305286407, + "num_tokens": 12806161.0, + "step": 5705 + }, + { + "entropy": 5.527550983428955, + "epoch": 6.173066522444564, + "grad_norm": 0.9609375, + "learning_rate": 0.0002248969478134199, + "loss": 4.8218, + "mean_token_accuracy": 0.23102053105831147, + "num_tokens": 12817829.0, + "step": 5710 + }, + { + "entropy": 5.474001789093018, + "epoch": 6.178474851270957, + "grad_norm": 1.15625, + "learning_rate": 0.00022447888969721232, + "loss": 4.8695, + "mean_token_accuracy": 0.22121107429265977, + "num_tokens": 12828212.0, + "step": 5715 + }, + { + "entropy": 5.518413400650024, + "epoch": 6.18388318009735, + "grad_norm": 1.109375, + "learning_rate": 0.00022406101517483636, + "loss": 4.7935, + "mean_token_accuracy": 0.23179168701171876, + "num_tokens": 12840058.0, + "step": 5720 + }, + { + "entropy": 5.461467647552491, + "epoch": 6.189291508923742, + "grad_norm": 0.88671875, + "learning_rate": 0.00022364332576484897, + "loss": 4.7839, + "mean_token_accuracy": 0.230883426964283, + "num_tokens": 12852833.0, + "step": 5725 + }, + { + "entropy": 5.48510422706604, + "epoch": 6.194699837750135, + "grad_norm": 1.0078125, + "learning_rate": 0.0002232258229851345, + "loss": 4.7751, + "mean_token_accuracy": 0.23518833070993422, + "num_tokens": 12863487.0, + "step": 5730 + }, + { + "entropy": 5.440191650390625, + "epoch": 6.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00022280850835289885, + "loss": 4.6923, + "mean_token_accuracy": 0.23732944577932358, + "num_tokens": 12873952.0, + "step": 5735 + }, + { + "entropy": 5.431076765060425, + "epoch": 6.205516495402921, + "grad_norm": 1.140625, + "learning_rate": 0.00022239138338466452, + "loss": 4.7793, + "mean_token_accuracy": 0.23101767003536225, + "num_tokens": 12884462.0, + "step": 5740 + }, + { + "entropy": 5.446973085403442, + "epoch": 6.210924824229313, + "grad_norm": 1.078125, + "learning_rate": 0.00022197444959626451, + "loss": 4.727, + "mean_token_accuracy": 0.23917102962732315, + "num_tokens": 12894996.0, + "step": 5745 + }, + { + "entropy": 5.430508470535278, + "epoch": 6.2163331530557056, + "grad_norm": 1.0625, + "learning_rate": 0.00022155770850283723, + "loss": 4.7103, + "mean_token_accuracy": 0.2357731357216835, + "num_tokens": 12906256.0, + "step": 5750 + }, + { + "entropy": 5.462933015823364, + "epoch": 6.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.00022114116161882065, + "loss": 4.8337, + "mean_token_accuracy": 0.2271495670080185, + "num_tokens": 12918738.0, + "step": 5755 + }, + { + "entropy": 5.434539031982422, + "epoch": 6.227149810708491, + "grad_norm": 1.0, + "learning_rate": 0.00022072481045794733, + "loss": 4.7419, + "mean_token_accuracy": 0.2339697703719139, + "num_tokens": 12929918.0, + "step": 5760 + }, + { + "entropy": 5.537877035140991, + "epoch": 6.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.00022030865653323823, + "loss": 4.8251, + "mean_token_accuracy": 0.23042406886816025, + "num_tokens": 12941427.0, + "step": 5765 + }, + { + "entropy": 5.459821033477783, + "epoch": 6.237966468361276, + "grad_norm": 0.9921875, + "learning_rate": 0.0002198927013569977, + "loss": 4.755, + "mean_token_accuracy": 0.23522372245788575, + "num_tokens": 12952889.0, + "step": 5770 + }, + { + "entropy": 5.45594425201416, + "epoch": 6.243374797187669, + "grad_norm": 1.0859375, + "learning_rate": 0.0002194769464408076, + "loss": 4.7728, + "mean_token_accuracy": 0.23804499059915543, + "num_tokens": 12962928.0, + "step": 5775 + }, + { + "entropy": 5.472302389144898, + "epoch": 6.248783126014062, + "grad_norm": 1.1484375, + "learning_rate": 0.0002190613932955226, + "loss": 4.7282, + "mean_token_accuracy": 0.24171511083841324, + "num_tokens": 12972901.0, + "step": 5780 + }, + { + "entropy": 5.48187289237976, + "epoch": 6.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00021864604343126365, + "loss": 4.8139, + "mean_token_accuracy": 0.23290316462516786, + "num_tokens": 12985296.0, + "step": 5785 + }, + { + "entropy": 5.538161706924439, + "epoch": 6.259599783666847, + "grad_norm": 0.9921875, + "learning_rate": 0.00021823089835741312, + "loss": 4.881, + "mean_token_accuracy": 0.22790266275405885, + "num_tokens": 12997069.0, + "step": 5790 + }, + { + "entropy": 5.485204887390137, + "epoch": 6.2650081124932395, + "grad_norm": 1.046875, + "learning_rate": 0.000217815959582609, + "loss": 4.7595, + "mean_token_accuracy": 0.23940668255090714, + "num_tokens": 13007147.0, + "step": 5795 + }, + { + "entropy": 5.438343048095703, + "epoch": 6.270416441319632, + "grad_norm": 0.984375, + "learning_rate": 0.00021740122861473992, + "loss": 4.7979, + "mean_token_accuracy": 0.23777374029159545, + "num_tokens": 13019084.0, + "step": 5800 + }, + { + "entropy": 5.5151256084442135, + "epoch": 6.275824770146025, + "grad_norm": 0.93359375, + "learning_rate": 0.00021698670696093932, + "loss": 4.8021, + "mean_token_accuracy": 0.23370311856269838, + "num_tokens": 13030751.0, + "step": 5805 + }, + { + "entropy": 5.4750467300415036, + "epoch": 6.281233098972417, + "grad_norm": 0.98046875, + "learning_rate": 0.00021657239612757963, + "loss": 4.7488, + "mean_token_accuracy": 0.23250595033168792, + "num_tokens": 13042731.0, + "step": 5810 + }, + { + "entropy": 5.464777565002441, + "epoch": 6.28664142779881, + "grad_norm": 1.0546875, + "learning_rate": 0.00021615829762026734, + "loss": 4.7205, + "mean_token_accuracy": 0.23873378783464433, + "num_tokens": 13053442.0, + "step": 5815 + }, + { + "entropy": 5.484056568145752, + "epoch": 6.292049756625203, + "grad_norm": 1.125, + "learning_rate": 0.00021574441294383752, + "loss": 4.7793, + "mean_token_accuracy": 0.2335501179099083, + "num_tokens": 13063911.0, + "step": 5820 + }, + { + "entropy": 5.4915848731994625, + "epoch": 6.297458085451596, + "grad_norm": 0.91796875, + "learning_rate": 0.00021533074360234806, + "loss": 4.8487, + "mean_token_accuracy": 0.22842135578393935, + "num_tokens": 13075887.0, + "step": 5825 + }, + { + "entropy": 5.432464218139648, + "epoch": 6.302866414277988, + "grad_norm": 1.0859375, + "learning_rate": 0.00021491729109907414, + "loss": 4.7111, + "mean_token_accuracy": 0.24290824681520462, + "num_tokens": 13087320.0, + "step": 5830 + }, + { + "entropy": 5.4360270500183105, + "epoch": 6.308274743104381, + "grad_norm": 1.0078125, + "learning_rate": 0.00021450405693650333, + "loss": 4.7483, + "mean_token_accuracy": 0.2368444621562958, + "num_tokens": 13099078.0, + "step": 5835 + }, + { + "entropy": 5.488501501083374, + "epoch": 6.3136830719307735, + "grad_norm": 1.0078125, + "learning_rate": 0.00021409104261632932, + "loss": 4.8415, + "mean_token_accuracy": 0.23506940752267838, + "num_tokens": 13111909.0, + "step": 5840 + }, + { + "entropy": 5.4188000679016115, + "epoch": 6.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.00021367824963944727, + "loss": 4.736, + "mean_token_accuracy": 0.2346210688352585, + "num_tokens": 13123297.0, + "step": 5845 + }, + { + "entropy": 5.407528495788574, + "epoch": 6.324499729583558, + "grad_norm": 1.0078125, + "learning_rate": 0.00021326567950594766, + "loss": 4.7807, + "mean_token_accuracy": 0.23231735378503798, + "num_tokens": 13133959.0, + "step": 5850 + }, + { + "entropy": 5.401265668869018, + "epoch": 6.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.0002128533337151114, + "loss": 4.6422, + "mean_token_accuracy": 0.24409369081258775, + "num_tokens": 13144858.0, + "step": 5855 + }, + { + "entropy": 5.4279073715209964, + "epoch": 6.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.0002124412137654041, + "loss": 4.7921, + "mean_token_accuracy": 0.2318548381328583, + "num_tokens": 13156437.0, + "step": 5860 + }, + { + "entropy": 5.446533298492431, + "epoch": 6.340724716062737, + "grad_norm": 1.046875, + "learning_rate": 0.00021202932115447056, + "loss": 4.7419, + "mean_token_accuracy": 0.24057282507419586, + "num_tokens": 13166860.0, + "step": 5865 + }, + { + "entropy": 5.4611639976501465, + "epoch": 6.346133044889129, + "grad_norm": 1.078125, + "learning_rate": 0.00021161765737912937, + "loss": 4.8228, + "mean_token_accuracy": 0.23280464708805085, + "num_tokens": 13178563.0, + "step": 5870 + }, + { + "entropy": 5.496692562103272, + "epoch": 6.351541373715522, + "grad_norm": 1.0703125, + "learning_rate": 0.00021120622393536775, + "loss": 4.7578, + "mean_token_accuracy": 0.22650425583124162, + "num_tokens": 13189915.0, + "step": 5875 + }, + { + "entropy": 5.509976005554199, + "epoch": 6.356949702541915, + "grad_norm": 1.125, + "learning_rate": 0.00021079502231833585, + "loss": 4.7769, + "mean_token_accuracy": 0.2329890564084053, + "num_tokens": 13201767.0, + "step": 5880 + }, + { + "entropy": 5.455395841598511, + "epoch": 6.3623580313683075, + "grad_norm": 1.1484375, + "learning_rate": 0.00021038405402234116, + "loss": 4.7817, + "mean_token_accuracy": 0.23451150208711624, + "num_tokens": 13212265.0, + "step": 5885 + }, + { + "entropy": 5.424297761917114, + "epoch": 6.367766360194699, + "grad_norm": 0.94140625, + "learning_rate": 0.0002099733205408435, + "loss": 4.8023, + "mean_token_accuracy": 0.23045464754104614, + "num_tokens": 13223503.0, + "step": 5890 + }, + { + "entropy": 5.491450643539428, + "epoch": 6.373174689021092, + "grad_norm": 1.1015625, + "learning_rate": 0.0002095628233664492, + "loss": 4.7904, + "mean_token_accuracy": 0.22897710502147675, + "num_tokens": 13234797.0, + "step": 5895 + }, + { + "entropy": 5.440606880187988, + "epoch": 6.378583017847485, + "grad_norm": 1.046875, + "learning_rate": 0.0002091525639909061, + "loss": 4.7548, + "mean_token_accuracy": 0.2377723589539528, + "num_tokens": 13246421.0, + "step": 5900 + }, + { + "entropy": 5.4440460205078125, + "epoch": 6.383991346673878, + "grad_norm": 0.96875, + "learning_rate": 0.00020874254390509757, + "loss": 4.7624, + "mean_token_accuracy": 0.23135251700878143, + "num_tokens": 13256747.0, + "step": 5905 + }, + { + "entropy": 5.482359123229981, + "epoch": 6.38939967550027, + "grad_norm": 1.1484375, + "learning_rate": 0.00020833276459903766, + "loss": 4.74, + "mean_token_accuracy": 0.23761427402496338, + "num_tokens": 13267620.0, + "step": 5910 + }, + { + "entropy": 5.496868753433228, + "epoch": 6.394808004326663, + "grad_norm": 1.03125, + "learning_rate": 0.0002079232275618651, + "loss": 4.7261, + "mean_token_accuracy": 0.23711277842521666, + "num_tokens": 13277818.0, + "step": 5915 + }, + { + "entropy": 5.354647064208985, + "epoch": 6.400216333153056, + "grad_norm": 1.0546875, + "learning_rate": 0.0002075139342818388, + "loss": 4.6986, + "mean_token_accuracy": 0.2438313126564026, + "num_tokens": 13289905.0, + "step": 5920 + }, + { + "entropy": 5.426370525360108, + "epoch": 6.405624661979449, + "grad_norm": 0.92578125, + "learning_rate": 0.00020710488624633118, + "loss": 4.6988, + "mean_token_accuracy": 0.23948602080345155, + "num_tokens": 13302465.0, + "step": 5925 + }, + { + "entropy": 5.454558897018432, + "epoch": 6.411032990805841, + "grad_norm": 1.078125, + "learning_rate": 0.00020669608494182384, + "loss": 4.7905, + "mean_token_accuracy": 0.2280614882707596, + "num_tokens": 13314366.0, + "step": 5930 + }, + { + "entropy": 5.339557838439942, + "epoch": 6.416441319632233, + "grad_norm": 1.0078125, + "learning_rate": 0.00020628753185390164, + "loss": 4.639, + "mean_token_accuracy": 0.24252013713121415, + "num_tokens": 13324981.0, + "step": 5935 + }, + { + "entropy": 5.456610202789307, + "epoch": 6.421849648458626, + "grad_norm": 1.015625, + "learning_rate": 0.0002058792284672475, + "loss": 4.7473, + "mean_token_accuracy": 0.234878046810627, + "num_tokens": 13335705.0, + "step": 5940 + }, + { + "entropy": 5.3233154296875, + "epoch": 6.427257977285019, + "grad_norm": 1.015625, + "learning_rate": 0.0002054711762656369, + "loss": 4.6921, + "mean_token_accuracy": 0.23819227814674376, + "num_tokens": 13346515.0, + "step": 5945 + }, + { + "entropy": 5.402464580535889, + "epoch": 6.432666306111411, + "grad_norm": 1.0078125, + "learning_rate": 0.00020506337673193236, + "loss": 4.7412, + "mean_token_accuracy": 0.23467027246952057, + "num_tokens": 13357780.0, + "step": 5950 + }, + { + "entropy": 5.4471968650817875, + "epoch": 6.438074634937804, + "grad_norm": 0.98828125, + "learning_rate": 0.00020465583134807836, + "loss": 4.7435, + "mean_token_accuracy": 0.24032192826271057, + "num_tokens": 13369549.0, + "step": 5955 + }, + { + "entropy": 5.520180511474609, + "epoch": 6.443482963764197, + "grad_norm": 1.0390625, + "learning_rate": 0.00020424854159509587, + "loss": 4.8087, + "mean_token_accuracy": 0.2298721730709076, + "num_tokens": 13380259.0, + "step": 5960 + }, + { + "entropy": 5.495610284805298, + "epoch": 6.44889129259059, + "grad_norm": 1.171875, + "learning_rate": 0.0002038415089530767, + "loss": 4.8364, + "mean_token_accuracy": 0.2270108386874199, + "num_tokens": 13392049.0, + "step": 5965 + }, + { + "entropy": 5.467788505554199, + "epoch": 6.4542996214169825, + "grad_norm": 1.09375, + "learning_rate": 0.00020343473490117846, + "loss": 4.7871, + "mean_token_accuracy": 0.22844729274511338, + "num_tokens": 13403874.0, + "step": 5970 + }, + { + "entropy": 5.432657051086426, + "epoch": 6.4597079502433745, + "grad_norm": 1.1171875, + "learning_rate": 0.00020302822091761884, + "loss": 4.7664, + "mean_token_accuracy": 0.2360194906592369, + "num_tokens": 13415194.0, + "step": 5975 + }, + { + "entropy": 5.463835048675537, + "epoch": 6.465116279069767, + "grad_norm": 1.203125, + "learning_rate": 0.00020262196847967091, + "loss": 4.7913, + "mean_token_accuracy": 0.23191041946411134, + "num_tokens": 13425159.0, + "step": 5980 + }, + { + "entropy": 5.454825782775879, + "epoch": 6.47052460789616, + "grad_norm": 0.98828125, + "learning_rate": 0.00020221597906365667, + "loss": 4.7798, + "mean_token_accuracy": 0.23226822465658187, + "num_tokens": 13437279.0, + "step": 5985 + }, + { + "entropy": 5.478639888763428, + "epoch": 6.475932936722553, + "grad_norm": 0.95703125, + "learning_rate": 0.00020181025414494285, + "loss": 4.7898, + "mean_token_accuracy": 0.2360480844974518, + "num_tokens": 13449170.0, + "step": 5990 + }, + { + "entropy": 5.514584064483643, + "epoch": 6.481341265548945, + "grad_norm": 1.0546875, + "learning_rate": 0.0002014047951979344, + "loss": 4.8438, + "mean_token_accuracy": 0.22370945364236833, + "num_tokens": 13460216.0, + "step": 5995 + }, + { + "entropy": 5.464205169677735, + "epoch": 6.486749594375338, + "grad_norm": 1.0625, + "learning_rate": 0.0002009996036960704, + "loss": 4.7955, + "mean_token_accuracy": 0.2337394878268242, + "num_tokens": 13470468.0, + "step": 6000 + }, + { + "epoch": 6.486749594375338, + "eval_entropy": 5.356367090615359, + "eval_loss": 5.836918830871582, + "eval_mean_token_accuracy": 0.18327153573997995, + "eval_num_tokens": 13470468.0, + "eval_runtime": 3.5524, + "eval_samples_per_second": 989.467, + "eval_steps_per_second": 123.859, + "step": 6000 + }, + { + "entropy": 5.4838872909545895, + "epoch": 6.492157923201731, + "grad_norm": 0.9765625, + "learning_rate": 0.00020059468111181757, + "loss": 4.8355, + "mean_token_accuracy": 0.2325873091816902, + "num_tokens": 13482690.0, + "step": 6005 + }, + { + "entropy": 5.377634334564209, + "epoch": 6.497566252028124, + "grad_norm": 1.0, + "learning_rate": 0.00020019002891666555, + "loss": 4.7039, + "mean_token_accuracy": 0.24070921093225478, + "num_tokens": 13494806.0, + "step": 6010 + }, + { + "entropy": 5.371237802505493, + "epoch": 6.502974580854516, + "grad_norm": 1.03125, + "learning_rate": 0.00019978564858112125, + "loss": 4.7015, + "mean_token_accuracy": 0.24223154485225679, + "num_tokens": 13506968.0, + "step": 6015 + }, + { + "entropy": 5.492704820632935, + "epoch": 6.5083829096809085, + "grad_norm": 1.03125, + "learning_rate": 0.00019938154157470378, + "loss": 4.8381, + "mean_token_accuracy": 0.2364162266254425, + "num_tokens": 13518817.0, + "step": 6020 + }, + { + "entropy": 5.4859953880310055, + "epoch": 6.513791238507301, + "grad_norm": 1.0859375, + "learning_rate": 0.00019897770936593912, + "loss": 4.7452, + "mean_token_accuracy": 0.24185479283332825, + "num_tokens": 13529054.0, + "step": 6025 + }, + { + "entropy": 5.4339841365814205, + "epoch": 6.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.0001985741534223543, + "loss": 4.7583, + "mean_token_accuracy": 0.23412617295980453, + "num_tokens": 13540462.0, + "step": 6030 + }, + { + "entropy": 5.528876304626465, + "epoch": 6.524607896160086, + "grad_norm": 1.1640625, + "learning_rate": 0.00019817087521047244, + "loss": 4.8767, + "mean_token_accuracy": 0.22286273241043092, + "num_tokens": 13551949.0, + "step": 6035 + }, + { + "entropy": 5.508295059204102, + "epoch": 6.530016224986479, + "grad_norm": 1.0078125, + "learning_rate": 0.00019776787619580767, + "loss": 4.8043, + "mean_token_accuracy": 0.23924179673194884, + "num_tokens": 13562567.0, + "step": 6040 + }, + { + "entropy": 5.43859338760376, + "epoch": 6.535424553812872, + "grad_norm": 1.1484375, + "learning_rate": 0.0001973651578428593, + "loss": 4.7628, + "mean_token_accuracy": 0.23885137885808944, + "num_tokens": 13573696.0, + "step": 6045 + }, + { + "entropy": 5.490781259536743, + "epoch": 6.540832882639265, + "grad_norm": 1.046875, + "learning_rate": 0.00019696272161510663, + "loss": 4.8612, + "mean_token_accuracy": 0.22521820068359374, + "num_tokens": 13585941.0, + "step": 6050 + }, + { + "entropy": 5.4247150897979735, + "epoch": 6.546241211465657, + "grad_norm": 1.09375, + "learning_rate": 0.00019656056897500408, + "loss": 4.6436, + "mean_token_accuracy": 0.2483742877840996, + "num_tokens": 13597665.0, + "step": 6055 + }, + { + "entropy": 5.382246017456055, + "epoch": 6.55164954029205, + "grad_norm": 1.15625, + "learning_rate": 0.00019615870138397506, + "loss": 4.7428, + "mean_token_accuracy": 0.229461170732975, + "num_tokens": 13608732.0, + "step": 6060 + }, + { + "entropy": 5.559137582778931, + "epoch": 6.5570578691184425, + "grad_norm": 1.1328125, + "learning_rate": 0.0001957571203024075, + "loss": 4.8794, + "mean_token_accuracy": 0.2277083858847618, + "num_tokens": 13620710.0, + "step": 6065 + }, + { + "entropy": 5.4016365051269535, + "epoch": 6.562466197944835, + "grad_norm": 1.0234375, + "learning_rate": 0.00019535582718964773, + "loss": 4.7, + "mean_token_accuracy": 0.22991207093000413, + "num_tokens": 13632157.0, + "step": 6070 + }, + { + "entropy": 5.468547010421753, + "epoch": 6.567874526771227, + "grad_norm": 1.078125, + "learning_rate": 0.00019495482350399612, + "loss": 4.721, + "mean_token_accuracy": 0.2484972819685936, + "num_tokens": 13642833.0, + "step": 6075 + }, + { + "entropy": 5.477743625640869, + "epoch": 6.57328285559762, + "grad_norm": 1.0703125, + "learning_rate": 0.0001945541107027009, + "loss": 4.8397, + "mean_token_accuracy": 0.23110663294792175, + "num_tokens": 13654985.0, + "step": 6080 + }, + { + "entropy": 5.4450866222381595, + "epoch": 6.578691184424013, + "grad_norm": 1.046875, + "learning_rate": 0.0001941536902419533, + "loss": 4.785, + "mean_token_accuracy": 0.23091002255678178, + "num_tokens": 13666180.0, + "step": 6085 + }, + { + "entropy": 5.426376247406006, + "epoch": 6.584099513250406, + "grad_norm": 0.97265625, + "learning_rate": 0.00019375356357688206, + "loss": 4.7357, + "mean_token_accuracy": 0.24122271835803985, + "num_tokens": 13677993.0, + "step": 6090 + }, + { + "entropy": 5.533717823028565, + "epoch": 6.589507842076799, + "grad_norm": 1.203125, + "learning_rate": 0.00019335373216154862, + "loss": 4.8881, + "mean_token_accuracy": 0.23069773763418197, + "num_tokens": 13687427.0, + "step": 6095 + }, + { + "entropy": 5.422270774841309, + "epoch": 6.594916170903191, + "grad_norm": 1.1171875, + "learning_rate": 0.00019295419744894116, + "loss": 4.7115, + "mean_token_accuracy": 0.24273773580789565, + "num_tokens": 13698255.0, + "step": 6100 + }, + { + "entropy": 5.492586517333985, + "epoch": 6.600324499729584, + "grad_norm": 0.98828125, + "learning_rate": 0.00019255496089096985, + "loss": 4.8158, + "mean_token_accuracy": 0.22930402904748917, + "num_tokens": 13710471.0, + "step": 6105 + }, + { + "entropy": 5.522595310211182, + "epoch": 6.605732828555976, + "grad_norm": 1.0390625, + "learning_rate": 0.00019215602393846104, + "loss": 4.9235, + "mean_token_accuracy": 0.227778759598732, + "num_tokens": 13721605.0, + "step": 6110 + }, + { + "entropy": 5.461326646804809, + "epoch": 6.611141157382368, + "grad_norm": 1.0703125, + "learning_rate": 0.00019175738804115279, + "loss": 4.7891, + "mean_token_accuracy": 0.2319536179304123, + "num_tokens": 13732639.0, + "step": 6115 + }, + { + "entropy": 5.454809093475342, + "epoch": 6.616549486208761, + "grad_norm": 1.09375, + "learning_rate": 0.00019135905464768882, + "loss": 4.7584, + "mean_token_accuracy": 0.23282596617937087, + "num_tokens": 13743644.0, + "step": 6120 + }, + { + "entropy": 5.429327869415284, + "epoch": 6.621957815035154, + "grad_norm": 0.99609375, + "learning_rate": 0.00019096102520561344, + "loss": 4.6881, + "mean_token_accuracy": 0.24907640665769576, + "num_tokens": 13754887.0, + "step": 6125 + }, + { + "entropy": 5.459971714019775, + "epoch": 6.627366143861547, + "grad_norm": 1.125, + "learning_rate": 0.00019056330116136666, + "loss": 4.8665, + "mean_token_accuracy": 0.23227984756231307, + "num_tokens": 13766267.0, + "step": 6130 + }, + { + "entropy": 5.479209947586059, + "epoch": 6.63277447268794, + "grad_norm": 1.078125, + "learning_rate": 0.00019016588396027862, + "loss": 4.785, + "mean_token_accuracy": 0.22960527539253234, + "num_tokens": 13776532.0, + "step": 6135 + }, + { + "entropy": 5.446014642715454, + "epoch": 6.638182801514332, + "grad_norm": 1.0546875, + "learning_rate": 0.00018976877504656438, + "loss": 4.7252, + "mean_token_accuracy": 0.23457733541727066, + "num_tokens": 13787511.0, + "step": 6140 + }, + { + "entropy": 5.418573427200317, + "epoch": 6.643591130340725, + "grad_norm": 1.015625, + "learning_rate": 0.0001893719758633185, + "loss": 4.7603, + "mean_token_accuracy": 0.23951076716184616, + "num_tokens": 13799264.0, + "step": 6145 + }, + { + "entropy": 5.492339086532593, + "epoch": 6.6489994591671175, + "grad_norm": 1.0546875, + "learning_rate": 0.00018897548785251018, + "loss": 4.8451, + "mean_token_accuracy": 0.22612449377775193, + "num_tokens": 13810271.0, + "step": 6150 + }, + { + "entropy": 5.461274480819702, + "epoch": 6.6544077879935095, + "grad_norm": 1.1328125, + "learning_rate": 0.0001885793124549779, + "loss": 4.7764, + "mean_token_accuracy": 0.23858335763216018, + "num_tokens": 13820980.0, + "step": 6155 + }, + { + "entropy": 5.525525903701782, + "epoch": 6.659816116819902, + "grad_norm": 1.0390625, + "learning_rate": 0.00018818345111042383, + "loss": 4.9345, + "mean_token_accuracy": 0.2248729422688484, + "num_tokens": 13832522.0, + "step": 6160 + }, + { + "entropy": 5.425912666320801, + "epoch": 6.665224445646295, + "grad_norm": 1.1328125, + "learning_rate": 0.00018778790525740907, + "loss": 4.7193, + "mean_token_accuracy": 0.2379765972495079, + "num_tokens": 13844453.0, + "step": 6165 + }, + { + "entropy": 5.52116117477417, + "epoch": 6.670632774472688, + "grad_norm": 0.9375, + "learning_rate": 0.00018739267633334806, + "loss": 4.8558, + "mean_token_accuracy": 0.22124128192663192, + "num_tokens": 13856776.0, + "step": 6170 + }, + { + "entropy": 5.443723726272583, + "epoch": 6.676041103299081, + "grad_norm": 0.98828125, + "learning_rate": 0.00018699776577450378, + "loss": 4.7637, + "mean_token_accuracy": 0.2337685525417328, + "num_tokens": 13868050.0, + "step": 6175 + }, + { + "entropy": 5.492089128494262, + "epoch": 6.681449432125473, + "grad_norm": 1.0078125, + "learning_rate": 0.00018660317501598212, + "loss": 4.8518, + "mean_token_accuracy": 0.22990886569023133, + "num_tokens": 13879866.0, + "step": 6180 + }, + { + "entropy": 5.48423171043396, + "epoch": 6.686857760951866, + "grad_norm": 0.91796875, + "learning_rate": 0.0001862089054917266, + "loss": 4.7604, + "mean_token_accuracy": 0.22882692217826844, + "num_tokens": 13891782.0, + "step": 6185 + }, + { + "entropy": 5.454492902755737, + "epoch": 6.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.0001858149586345137, + "loss": 4.8486, + "mean_token_accuracy": 0.2267652705311775, + "num_tokens": 13903587.0, + "step": 6190 + }, + { + "entropy": 5.487734699249268, + "epoch": 6.6976744186046515, + "grad_norm": 1.1171875, + "learning_rate": 0.00018542133587594735, + "loss": 4.7559, + "mean_token_accuracy": 0.23566682040691375, + "num_tokens": 13914921.0, + "step": 6195 + }, + { + "entropy": 5.510404586791992, + "epoch": 6.7030827474310435, + "grad_norm": 1.1171875, + "learning_rate": 0.00018502803864645334, + "loss": 4.7447, + "mean_token_accuracy": 0.23118012845516206, + "num_tokens": 13925412.0, + "step": 6200 + }, + { + "entropy": 5.485953426361084, + "epoch": 6.708491076257436, + "grad_norm": 1.03125, + "learning_rate": 0.00018463506837527484, + "loss": 4.7566, + "mean_token_accuracy": 0.23713926672935487, + "num_tokens": 13935783.0, + "step": 6205 + }, + { + "entropy": 5.3922570705413815, + "epoch": 6.713899405083829, + "grad_norm": 1.2421875, + "learning_rate": 0.00018424242649046663, + "loss": 4.7659, + "mean_token_accuracy": 0.23707763850688934, + "num_tokens": 13945233.0, + "step": 6210 + }, + { + "entropy": 5.48021879196167, + "epoch": 6.719307733910222, + "grad_norm": 1.046875, + "learning_rate": 0.00018385011441889037, + "loss": 4.7698, + "mean_token_accuracy": 0.2360626772046089, + "num_tokens": 13955411.0, + "step": 6215 + }, + { + "entropy": 5.523493337631225, + "epoch": 6.724716062736614, + "grad_norm": 1.0390625, + "learning_rate": 0.00018345813358620894, + "loss": 4.9065, + "mean_token_accuracy": 0.2244351848959923, + "num_tokens": 13966607.0, + "step": 6220 + }, + { + "entropy": 5.546255588531494, + "epoch": 6.730124391563007, + "grad_norm": 0.9921875, + "learning_rate": 0.0001830664854168816, + "loss": 4.8721, + "mean_token_accuracy": 0.2342979833483696, + "num_tokens": 13978122.0, + "step": 6225 + }, + { + "entropy": 5.48574800491333, + "epoch": 6.7355327203894, + "grad_norm": 1.046875, + "learning_rate": 0.00018267517133415862, + "loss": 4.7914, + "mean_token_accuracy": 0.2378652423620224, + "num_tokens": 13989301.0, + "step": 6230 + }, + { + "entropy": 5.593584823608398, + "epoch": 6.740941049215793, + "grad_norm": 1.0625, + "learning_rate": 0.00018228419276007646, + "loss": 4.8879, + "mean_token_accuracy": 0.22455106675624847, + "num_tokens": 14000674.0, + "step": 6235 + }, + { + "entropy": 5.466882848739624, + "epoch": 6.746349378042185, + "grad_norm": 1.171875, + "learning_rate": 0.00018189355111545208, + "loss": 4.7649, + "mean_token_accuracy": 0.22919233441352843, + "num_tokens": 14012884.0, + "step": 6240 + }, + { + "entropy": 5.408292770385742, + "epoch": 6.7517577068685775, + "grad_norm": 1.0546875, + "learning_rate": 0.0001815032478198781, + "loss": 4.7689, + "mean_token_accuracy": 0.22624011039733888, + "num_tokens": 14023624.0, + "step": 6245 + }, + { + "entropy": 5.501367807388306, + "epoch": 6.75716603569497, + "grad_norm": 1.0390625, + "learning_rate": 0.00018111328429171747, + "loss": 4.8435, + "mean_token_accuracy": 0.22636697590351104, + "num_tokens": 14034873.0, + "step": 6250 + }, + { + "entropy": 5.493204069137573, + "epoch": 6.762574364521363, + "grad_norm": 1.0859375, + "learning_rate": 0.00018072366194809886, + "loss": 4.7605, + "mean_token_accuracy": 0.2378583535552025, + "num_tokens": 14045707.0, + "step": 6255 + }, + { + "entropy": 5.450195169448852, + "epoch": 6.767982693347756, + "grad_norm": 1.0546875, + "learning_rate": 0.00018033438220491055, + "loss": 4.8147, + "mean_token_accuracy": 0.24106226861476898, + "num_tokens": 14056774.0, + "step": 6260 + }, + { + "entropy": 5.395016431808472, + "epoch": 6.773391022174148, + "grad_norm": 1.1328125, + "learning_rate": 0.000179945446476796, + "loss": 4.6921, + "mean_token_accuracy": 0.24216643571853638, + "num_tokens": 14067358.0, + "step": 6265 + }, + { + "entropy": 5.455972051620483, + "epoch": 6.778799351000541, + "grad_norm": 1.0625, + "learning_rate": 0.00017955685617714867, + "loss": 4.7687, + "mean_token_accuracy": 0.23320888876914977, + "num_tokens": 14078336.0, + "step": 6270 + }, + { + "entropy": 5.525402450561524, + "epoch": 6.784207679826934, + "grad_norm": 0.98046875, + "learning_rate": 0.0001791686127181066, + "loss": 4.9202, + "mean_token_accuracy": 0.22177284806966782, + "num_tokens": 14091700.0, + "step": 6275 + }, + { + "entropy": 5.496983194351197, + "epoch": 6.789616008653326, + "grad_norm": 0.92578125, + "learning_rate": 0.00017878071751054736, + "loss": 4.837, + "mean_token_accuracy": 0.22447920441627503, + "num_tokens": 14103322.0, + "step": 6280 + }, + { + "entropy": 5.5157805442810055, + "epoch": 6.795024337479719, + "grad_norm": 1.09375, + "learning_rate": 0.00017839317196408305, + "loss": 4.8589, + "mean_token_accuracy": 0.2351175755262375, + "num_tokens": 14114758.0, + "step": 6285 + }, + { + "entropy": 5.3984763622283936, + "epoch": 6.800432666306111, + "grad_norm": 1.0625, + "learning_rate": 0.00017800597748705494, + "loss": 4.6811, + "mean_token_accuracy": 0.2468650996685028, + "num_tokens": 14124935.0, + "step": 6290 + }, + { + "entropy": 5.423747539520264, + "epoch": 6.805840995132504, + "grad_norm": 1.0, + "learning_rate": 0.0001776191354865289, + "loss": 4.7441, + "mean_token_accuracy": 0.24243067800998688, + "num_tokens": 14136102.0, + "step": 6295 + }, + { + "entropy": 5.47675724029541, + "epoch": 6.811249323958897, + "grad_norm": 1.0546875, + "learning_rate": 0.00017723264736828952, + "loss": 4.7482, + "mean_token_accuracy": 0.24305145889520646, + "num_tokens": 14147042.0, + "step": 6300 + }, + { + "entropy": 5.3783485889434814, + "epoch": 6.816657652785289, + "grad_norm": 1.140625, + "learning_rate": 0.00017684651453683554, + "loss": 4.6729, + "mean_token_accuracy": 0.24017125219106675, + "num_tokens": 14158045.0, + "step": 6305 + }, + { + "entropy": 5.419600963592529, + "epoch": 6.822065981611682, + "grad_norm": 1.125, + "learning_rate": 0.00017646073839537458, + "loss": 4.7921, + "mean_token_accuracy": 0.23383526057004927, + "num_tokens": 14169815.0, + "step": 6310 + }, + { + "entropy": 5.400470495223999, + "epoch": 6.827474310438075, + "grad_norm": 1.140625, + "learning_rate": 0.00017607532034581797, + "loss": 4.753, + "mean_token_accuracy": 0.22974225133657455, + "num_tokens": 14179965.0, + "step": 6315 + }, + { + "entropy": 5.536269664764404, + "epoch": 6.832882639264467, + "grad_norm": 1.1015625, + "learning_rate": 0.00017569026178877584, + "loss": 4.8555, + "mean_token_accuracy": 0.23882761746644973, + "num_tokens": 14191142.0, + "step": 6320 + }, + { + "entropy": 5.507011890411377, + "epoch": 6.83829096809086, + "grad_norm": 1.0390625, + "learning_rate": 0.0001753055641235519, + "loss": 4.7463, + "mean_token_accuracy": 0.2407160997390747, + "num_tokens": 14201765.0, + "step": 6325 + }, + { + "entropy": 5.463215494155884, + "epoch": 6.8436992969172525, + "grad_norm": 1.109375, + "learning_rate": 0.00017492122874813824, + "loss": 4.802, + "mean_token_accuracy": 0.23131725937128067, + "num_tokens": 14211995.0, + "step": 6330 + }, + { + "entropy": 5.5310859203338625, + "epoch": 6.849107625743645, + "grad_norm": 1.015625, + "learning_rate": 0.0001745372570592107, + "loss": 4.9147, + "mean_token_accuracy": 0.21638796478509903, + "num_tokens": 14225488.0, + "step": 6335 + }, + { + "entropy": 5.4645874977111815, + "epoch": 6.854515954570038, + "grad_norm": 1.0546875, + "learning_rate": 0.00017415365045212312, + "loss": 4.7541, + "mean_token_accuracy": 0.23150826692581178, + "num_tokens": 14237459.0, + "step": 6340 + }, + { + "entropy": 5.497331428527832, + "epoch": 6.85992428339643, + "grad_norm": 1.0625, + "learning_rate": 0.00017377041032090278, + "loss": 4.8308, + "mean_token_accuracy": 0.22778917849063873, + "num_tokens": 14248136.0, + "step": 6345 + }, + { + "entropy": 5.493479537963867, + "epoch": 6.865332612222823, + "grad_norm": 1.078125, + "learning_rate": 0.00017338753805824536, + "loss": 4.8375, + "mean_token_accuracy": 0.22441824078559874, + "num_tokens": 14260239.0, + "step": 6350 + }, + { + "entropy": 5.397213077545166, + "epoch": 6.870740941049216, + "grad_norm": 0.93359375, + "learning_rate": 0.00017300503505550939, + "loss": 4.7386, + "mean_token_accuracy": 0.23439123779535292, + "num_tokens": 14271825.0, + "step": 6355 + }, + { + "entropy": 5.371894598007202, + "epoch": 6.876149269875609, + "grad_norm": 1.0546875, + "learning_rate": 0.00017262290270271175, + "loss": 4.6615, + "mean_token_accuracy": 0.24698663353919983, + "num_tokens": 14282517.0, + "step": 6360 + }, + { + "entropy": 5.514883232116699, + "epoch": 6.881557598702001, + "grad_norm": 1.09375, + "learning_rate": 0.00017224114238852234, + "loss": 4.8437, + "mean_token_accuracy": 0.23700363636016847, + "num_tokens": 14293548.0, + "step": 6365 + }, + { + "entropy": 5.458508491516113, + "epoch": 6.886965927528394, + "grad_norm": 0.99609375, + "learning_rate": 0.0001718597555002588, + "loss": 4.8109, + "mean_token_accuracy": 0.2287731185555458, + "num_tokens": 14305782.0, + "step": 6370 + }, + { + "entropy": 5.464990663528442, + "epoch": 6.8923742563547865, + "grad_norm": 1.015625, + "learning_rate": 0.00017147874342388227, + "loss": 4.7446, + "mean_token_accuracy": 0.23635595589876174, + "num_tokens": 14315968.0, + "step": 6375 + }, + { + "entropy": 5.484697961807251, + "epoch": 6.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0001710981075439913, + "loss": 4.7885, + "mean_token_accuracy": 0.23122970163822174, + "num_tokens": 14327579.0, + "step": 6380 + }, + { + "entropy": 5.556122732162476, + "epoch": 6.903190914007571, + "grad_norm": 1.0390625, + "learning_rate": 0.00017071784924381766, + "loss": 4.8536, + "mean_token_accuracy": 0.22923520505428313, + "num_tokens": 14338620.0, + "step": 6385 + }, + { + "entropy": 5.435343933105469, + "epoch": 6.908599242833964, + "grad_norm": 1.078125, + "learning_rate": 0.00017033796990522081, + "loss": 4.736, + "mean_token_accuracy": 0.23136261701583863, + "num_tokens": 14348638.0, + "step": 6390 + }, + { + "entropy": 5.469294881820678, + "epoch": 6.914007571660357, + "grad_norm": 1.109375, + "learning_rate": 0.00016995847090868322, + "loss": 4.8066, + "mean_token_accuracy": 0.23570748418569565, + "num_tokens": 14359253.0, + "step": 6395 + }, + { + "entropy": 5.488160896301269, + "epoch": 6.91941590048675, + "grad_norm": 1.0703125, + "learning_rate": 0.00016957935363330506, + "loss": 4.7846, + "mean_token_accuracy": 0.23263452798128129, + "num_tokens": 14370659.0, + "step": 6400 + }, + { + "entropy": 5.467180585861206, + "epoch": 6.924824229313142, + "grad_norm": 1.125, + "learning_rate": 0.00016920061945679951, + "loss": 4.8172, + "mean_token_accuracy": 0.22805383503437043, + "num_tokens": 14381136.0, + "step": 6405 + }, + { + "entropy": 5.463050317764282, + "epoch": 6.930232558139535, + "grad_norm": 0.99609375, + "learning_rate": 0.0001688222697554872, + "loss": 4.8262, + "mean_token_accuracy": 0.22429136484861373, + "num_tokens": 14392789.0, + "step": 6410 + }, + { + "entropy": 5.463587474822998, + "epoch": 6.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.000168444305904292, + "loss": 4.7404, + "mean_token_accuracy": 0.23504639863967897, + "num_tokens": 14402808.0, + "step": 6415 + }, + { + "entropy": 5.518123960494995, + "epoch": 6.9410492157923205, + "grad_norm": 1.046875, + "learning_rate": 0.00016806672927673552, + "loss": 4.8328, + "mean_token_accuracy": 0.22986545860767366, + "num_tokens": 14413961.0, + "step": 6420 + }, + { + "entropy": 5.479937028884888, + "epoch": 6.9464575446187125, + "grad_norm": 1.15625, + "learning_rate": 0.00016768954124493188, + "loss": 4.7478, + "mean_token_accuracy": 0.2352260708808899, + "num_tokens": 14424416.0, + "step": 6425 + }, + { + "entropy": 5.5164111137390135, + "epoch": 6.951865873445105, + "grad_norm": 1.125, + "learning_rate": 0.00016731274317958333, + "loss": 4.8971, + "mean_token_accuracy": 0.22941209524869918, + "num_tokens": 14435771.0, + "step": 6430 + }, + { + "entropy": 5.4186872959136965, + "epoch": 6.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.0001669363364499749, + "loss": 4.73, + "mean_token_accuracy": 0.23911819905042647, + "num_tokens": 14447106.0, + "step": 6435 + }, + { + "entropy": 5.442362308502197, + "epoch": 6.962682531097891, + "grad_norm": 1.03125, + "learning_rate": 0.00016656032242396958, + "loss": 4.8122, + "mean_token_accuracy": 0.2302314579486847, + "num_tokens": 14458698.0, + "step": 6440 + }, + { + "entropy": 5.453445291519165, + "epoch": 6.968090859924283, + "grad_norm": 1.078125, + "learning_rate": 0.00016618470246800322, + "loss": 4.7455, + "mean_token_accuracy": 0.23800296932458878, + "num_tokens": 14469440.0, + "step": 6445 + }, + { + "entropy": 5.490810489654541, + "epoch": 6.973499188750676, + "grad_norm": 1.1015625, + "learning_rate": 0.00016580947794707937, + "loss": 4.8024, + "mean_token_accuracy": 0.24103218615055083, + "num_tokens": 14480256.0, + "step": 6450 + }, + { + "entropy": 5.470514965057373, + "epoch": 6.978907517577069, + "grad_norm": 1.046875, + "learning_rate": 0.00016543465022476512, + "loss": 4.8481, + "mean_token_accuracy": 0.23317314237356185, + "num_tokens": 14492347.0, + "step": 6455 + }, + { + "entropy": 5.454502725601197, + "epoch": 6.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0001650602206631852, + "loss": 4.7853, + "mean_token_accuracy": 0.22942974418401718, + "num_tokens": 14503492.0, + "step": 6460 + }, + { + "entropy": 5.506963491439819, + "epoch": 6.9897241752298545, + "grad_norm": 1.09375, + "learning_rate": 0.00016468619062301739, + "loss": 4.9144, + "mean_token_accuracy": 0.2240392178297043, + "num_tokens": 14515843.0, + "step": 6465 + }, + { + "entropy": 5.422661304473877, + "epoch": 6.995132504056246, + "grad_norm": 1.1171875, + "learning_rate": 0.0001643125614634877, + "loss": 4.7668, + "mean_token_accuracy": 0.22867323458194733, + "num_tokens": 14526733.0, + "step": 6470 + }, + { + "entropy": 5.484320746527778, + "epoch": 7.0, + "grad_norm": 2.09375, + "learning_rate": 0.0001639393345423656, + "loss": 4.9156, + "mean_token_accuracy": 0.22375796569718254, + "num_tokens": 14538223.0, + "step": 6475 + }, + { + "entropy": 5.473077964782715, + "epoch": 7.005408328826393, + "grad_norm": 0.9921875, + "learning_rate": 0.00016356651121595832, + "loss": 4.6896, + "mean_token_accuracy": 0.23437674343585968, + "num_tokens": 14549388.0, + "step": 6480 + }, + { + "entropy": 5.507199287414551, + "epoch": 7.010816657652786, + "grad_norm": 1.078125, + "learning_rate": 0.0001631940928391068, + "loss": 4.7129, + "mean_token_accuracy": 0.23249671310186387, + "num_tokens": 14561300.0, + "step": 6485 + }, + { + "entropy": 5.418299865722656, + "epoch": 7.016224986479178, + "grad_norm": 1.1328125, + "learning_rate": 0.00016282208076518032, + "loss": 4.6235, + "mean_token_accuracy": 0.24409482777118682, + "num_tokens": 14573169.0, + "step": 6490 + }, + { + "entropy": 5.460235691070556, + "epoch": 7.0216333153055706, + "grad_norm": 1.09375, + "learning_rate": 0.00016245047634607155, + "loss": 4.7435, + "mean_token_accuracy": 0.23163942545652388, + "num_tokens": 14585035.0, + "step": 6495 + }, + { + "entropy": 5.408029985427857, + "epoch": 7.027041644131963, + "grad_norm": 1.15625, + "learning_rate": 0.0001620792809321919, + "loss": 4.6479, + "mean_token_accuracy": 0.25236437320709226, + "num_tokens": 14596184.0, + "step": 6500 + }, + { + "epoch": 7.027041644131963, + "eval_entropy": 5.3447701345790515, + "eval_loss": 5.831712245941162, + "eval_mean_token_accuracy": 0.18428871013562786, + "eval_num_tokens": 14596184.0, + "eval_runtime": 3.5434, + "eval_samples_per_second": 991.978, + "eval_steps_per_second": 124.174, + "step": 6500 + }, + { + "entropy": 5.464370441436768, + "epoch": 7.032449972958356, + "grad_norm": 1.0625, + "learning_rate": 0.00016170849587246623, + "loss": 4.6636, + "mean_token_accuracy": 0.24691879898309707, + "num_tokens": 14606987.0, + "step": 6505 + }, + { + "entropy": 5.382754278182984, + "epoch": 7.037858301784748, + "grad_norm": 1.0859375, + "learning_rate": 0.00016133812251432826, + "loss": 4.6446, + "mean_token_accuracy": 0.24152851849794388, + "num_tokens": 14617600.0, + "step": 6510 + }, + { + "entropy": 5.545627021789551, + "epoch": 7.043266630611141, + "grad_norm": 1.140625, + "learning_rate": 0.0001609681622037159, + "loss": 4.8768, + "mean_token_accuracy": 0.23409285694360732, + "num_tokens": 14629551.0, + "step": 6515 + }, + { + "entropy": 5.513275575637818, + "epoch": 7.048674959437534, + "grad_norm": 0.9609375, + "learning_rate": 0.00016059861628506557, + "loss": 4.7503, + "mean_token_accuracy": 0.23408671617507934, + "num_tokens": 14641322.0, + "step": 6520 + }, + { + "entropy": 5.477088546752929, + "epoch": 7.054083288263927, + "grad_norm": 1.0078125, + "learning_rate": 0.00016022948610130804, + "loss": 4.6729, + "mean_token_accuracy": 0.24914150536060334, + "num_tokens": 14653380.0, + "step": 6525 + }, + { + "entropy": 5.466812229156494, + "epoch": 7.059491617090319, + "grad_norm": 1.140625, + "learning_rate": 0.0001598607729938632, + "loss": 4.6486, + "mean_token_accuracy": 0.24966771751642228, + "num_tokens": 14664043.0, + "step": 6530 + }, + { + "entropy": 5.344011831283569, + "epoch": 7.064899945916712, + "grad_norm": 1.078125, + "learning_rate": 0.00015949247830263538, + "loss": 4.5761, + "mean_token_accuracy": 0.2504953399300575, + "num_tokens": 14675117.0, + "step": 6535 + }, + { + "entropy": 5.410769510269165, + "epoch": 7.0703082747431045, + "grad_norm": 0.98828125, + "learning_rate": 0.00015912460336600838, + "loss": 4.6592, + "mean_token_accuracy": 0.24368593096733093, + "num_tokens": 14686908.0, + "step": 6540 + }, + { + "entropy": 5.454552125930786, + "epoch": 7.075716603569497, + "grad_norm": 1.1171875, + "learning_rate": 0.00015875714952084054, + "loss": 4.651, + "mean_token_accuracy": 0.23747905492782592, + "num_tokens": 14698997.0, + "step": 6545 + }, + { + "entropy": 5.482502889633179, + "epoch": 7.081124932395889, + "grad_norm": 1.125, + "learning_rate": 0.00015839011810245984, + "loss": 4.7622, + "mean_token_accuracy": 0.2314816802740097, + "num_tokens": 14709586.0, + "step": 6550 + }, + { + "entropy": 5.58815712928772, + "epoch": 7.086533261222282, + "grad_norm": 1.015625, + "learning_rate": 0.0001580235104446596, + "loss": 4.8083, + "mean_token_accuracy": 0.23637845516204833, + "num_tokens": 14720821.0, + "step": 6555 + }, + { + "entropy": 5.534481573104858, + "epoch": 7.091941590048675, + "grad_norm": 1.125, + "learning_rate": 0.00015765732787969267, + "loss": 4.7914, + "mean_token_accuracy": 0.2330068051815033, + "num_tokens": 14732218.0, + "step": 6560 + }, + { + "entropy": 5.500377082824707, + "epoch": 7.097349918875068, + "grad_norm": 1.125, + "learning_rate": 0.00015729157173826724, + "loss": 4.7649, + "mean_token_accuracy": 0.23969083726406099, + "num_tokens": 14742306.0, + "step": 6565 + }, + { + "entropy": 5.4900023460388185, + "epoch": 7.10275824770146, + "grad_norm": 1.1171875, + "learning_rate": 0.00015692624334954236, + "loss": 4.6786, + "mean_token_accuracy": 0.24366039633750916, + "num_tokens": 14752924.0, + "step": 6570 + }, + { + "entropy": 5.496832656860351, + "epoch": 7.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0001565613440411219, + "loss": 4.7231, + "mean_token_accuracy": 0.24004672914743425, + "num_tokens": 14764161.0, + "step": 6575 + }, + { + "entropy": 5.440928888320923, + "epoch": 7.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.0001561968751390509, + "loss": 4.6765, + "mean_token_accuracy": 0.24878692924976348, + "num_tokens": 14774520.0, + "step": 6580 + }, + { + "entropy": 5.453061580657959, + "epoch": 7.1189832341806385, + "grad_norm": 1.15625, + "learning_rate": 0.00015583283796781022, + "loss": 4.6932, + "mean_token_accuracy": 0.24243371188640594, + "num_tokens": 14785243.0, + "step": 6585 + }, + { + "entropy": 5.52647213935852, + "epoch": 7.1243915630070305, + "grad_norm": 1.171875, + "learning_rate": 0.00015546923385031169, + "loss": 4.7412, + "mean_token_accuracy": 0.23893113285303116, + "num_tokens": 14796152.0, + "step": 6590 + }, + { + "entropy": 5.4624011516571045, + "epoch": 7.129799891833423, + "grad_norm": 0.9296875, + "learning_rate": 0.00015510606410789368, + "loss": 4.6761, + "mean_token_accuracy": 0.24187866747379302, + "num_tokens": 14807849.0, + "step": 6595 + }, + { + "entropy": 5.4489339828491214, + "epoch": 7.135208220659816, + "grad_norm": 1.0234375, + "learning_rate": 0.0001547433300603157, + "loss": 4.7278, + "mean_token_accuracy": 0.23658954948186875, + "num_tokens": 14819402.0, + "step": 6600 + }, + { + "entropy": 5.519697618484497, + "epoch": 7.140616549486209, + "grad_norm": 0.97265625, + "learning_rate": 0.00015438103302575413, + "loss": 4.7809, + "mean_token_accuracy": 0.22943075448274614, + "num_tokens": 14831801.0, + "step": 6605 + }, + { + "entropy": 5.458428382873535, + "epoch": 7.146024878312601, + "grad_norm": 1.046875, + "learning_rate": 0.0001540191743207974, + "loss": 4.6665, + "mean_token_accuracy": 0.24807371944189072, + "num_tokens": 14842758.0, + "step": 6610 + }, + { + "entropy": 5.438600254058838, + "epoch": 7.151433207138994, + "grad_norm": 1.1484375, + "learning_rate": 0.0001536577552604407, + "loss": 4.6907, + "mean_token_accuracy": 0.24510224908590317, + "num_tokens": 14853493.0, + "step": 6615 + }, + { + "entropy": 5.459250783920288, + "epoch": 7.156841535965387, + "grad_norm": 1.0546875, + "learning_rate": 0.00015329677715808176, + "loss": 4.6939, + "mean_token_accuracy": 0.23562195599079133, + "num_tokens": 14863561.0, + "step": 6620 + }, + { + "entropy": 5.4494476318359375, + "epoch": 7.16224986479178, + "grad_norm": 1.0390625, + "learning_rate": 0.00015293624132551591, + "loss": 4.7133, + "mean_token_accuracy": 0.237583789229393, + "num_tokens": 14874501.0, + "step": 6625 + }, + { + "entropy": 5.418937349319458, + "epoch": 7.167658193618172, + "grad_norm": 1.1484375, + "learning_rate": 0.0001525761490729312, + "loss": 4.6094, + "mean_token_accuracy": 0.24090600162744522, + "num_tokens": 14885457.0, + "step": 6630 + }, + { + "entropy": 5.386363983154297, + "epoch": 7.173066522444564, + "grad_norm": 1.140625, + "learning_rate": 0.0001522165017089036, + "loss": 4.6538, + "mean_token_accuracy": 0.24340963810682298, + "num_tokens": 14895812.0, + "step": 6635 + }, + { + "entropy": 5.456580400466919, + "epoch": 7.178474851270957, + "grad_norm": 1.1484375, + "learning_rate": 0.00015185730054039266, + "loss": 4.6593, + "mean_token_accuracy": 0.2551399230957031, + "num_tokens": 14907367.0, + "step": 6640 + }, + { + "entropy": 5.359630060195923, + "epoch": 7.18388318009735, + "grad_norm": 1.0859375, + "learning_rate": 0.00015149854687273594, + "loss": 4.6462, + "mean_token_accuracy": 0.24483772069215776, + "num_tokens": 14918931.0, + "step": 6645 + }, + { + "entropy": 5.4493739128112795, + "epoch": 7.189291508923742, + "grad_norm": 1.203125, + "learning_rate": 0.0001511402420096455, + "loss": 4.6726, + "mean_token_accuracy": 0.24823494553565978, + "num_tokens": 14929518.0, + "step": 6650 + }, + { + "entropy": 5.420223188400269, + "epoch": 7.194699837750135, + "grad_norm": 1.0703125, + "learning_rate": 0.0001507823872532017, + "loss": 4.6215, + "mean_token_accuracy": 0.25121530294418337, + "num_tokens": 14940249.0, + "step": 6655 + }, + { + "entropy": 5.487333488464356, + "epoch": 7.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00015042498390384966, + "loss": 4.651, + "mean_token_accuracy": 0.2495026633143425, + "num_tokens": 14950645.0, + "step": 6660 + }, + { + "entropy": 5.48924765586853, + "epoch": 7.205516495402921, + "grad_norm": 1.1484375, + "learning_rate": 0.00015006803326039403, + "loss": 4.6803, + "mean_token_accuracy": 0.24450889825820923, + "num_tokens": 14961687.0, + "step": 6665 + }, + { + "entropy": 5.495927572250366, + "epoch": 7.210924824229313, + "grad_norm": 1.1328125, + "learning_rate": 0.00014971153661999425, + "loss": 4.7147, + "mean_token_accuracy": 0.23855119198560715, + "num_tokens": 14973119.0, + "step": 6670 + }, + { + "entropy": 5.49677472114563, + "epoch": 7.2163331530557056, + "grad_norm": 1.1015625, + "learning_rate": 0.0001493554952781599, + "loss": 4.7157, + "mean_token_accuracy": 0.2383064314723015, + "num_tokens": 14984826.0, + "step": 6675 + }, + { + "entropy": 5.433115148544312, + "epoch": 7.221741481882098, + "grad_norm": 1.1484375, + "learning_rate": 0.00014899991052874618, + "loss": 4.6384, + "mean_token_accuracy": 0.24932982623577118, + "num_tokens": 14996853.0, + "step": 6680 + }, + { + "entropy": 5.490801095962524, + "epoch": 7.227149810708491, + "grad_norm": 1.1171875, + "learning_rate": 0.00014864478366394853, + "loss": 4.723, + "mean_token_accuracy": 0.2382085368037224, + "num_tokens": 15006941.0, + "step": 6685 + }, + { + "entropy": 5.507191753387451, + "epoch": 7.232558139534884, + "grad_norm": 1.0234375, + "learning_rate": 0.0001482901159742992, + "loss": 4.7574, + "mean_token_accuracy": 0.23971456587314605, + "num_tokens": 15018477.0, + "step": 6690 + }, + { + "entropy": 5.495437908172607, + "epoch": 7.237966468361276, + "grad_norm": 1.078125, + "learning_rate": 0.0001479359087486613, + "loss": 4.7285, + "mean_token_accuracy": 0.24551907330751419, + "num_tokens": 15030454.0, + "step": 6695 + }, + { + "entropy": 5.439489364624023, + "epoch": 7.243374797187669, + "grad_norm": 1.1171875, + "learning_rate": 0.00014758216327422457, + "loss": 4.6662, + "mean_token_accuracy": 0.245236536860466, + "num_tokens": 15040662.0, + "step": 6700 + }, + { + "entropy": 5.4497535705566404, + "epoch": 7.248783126014062, + "grad_norm": 1.0859375, + "learning_rate": 0.00014722888083650094, + "loss": 4.7445, + "mean_token_accuracy": 0.23666218519210816, + "num_tokens": 15051414.0, + "step": 6705 + }, + { + "entropy": 5.429581880569458, + "epoch": 7.254191454840455, + "grad_norm": 1.09375, + "learning_rate": 0.00014687606271931961, + "loss": 4.6776, + "mean_token_accuracy": 0.24278885275125503, + "num_tokens": 15062563.0, + "step": 6710 + }, + { + "entropy": 5.483661127090454, + "epoch": 7.259599783666847, + "grad_norm": 1.1484375, + "learning_rate": 0.00014652371020482246, + "loss": 4.78, + "mean_token_accuracy": 0.2354867562651634, + "num_tokens": 15074443.0, + "step": 6715 + }, + { + "entropy": 5.4655379295349125, + "epoch": 7.2650081124932395, + "grad_norm": 1.09375, + "learning_rate": 0.0001461718245734594, + "loss": 4.6926, + "mean_token_accuracy": 0.2432758167386055, + "num_tokens": 15085920.0, + "step": 6720 + }, + { + "entropy": 5.451245069503784, + "epoch": 7.270416441319632, + "grad_norm": 1.1171875, + "learning_rate": 0.0001458204071039834, + "loss": 4.6462, + "mean_token_accuracy": 0.2515479028224945, + "num_tokens": 15096851.0, + "step": 6725 + }, + { + "entropy": 5.4489991664886475, + "epoch": 7.275824770146025, + "grad_norm": 0.99609375, + "learning_rate": 0.0001454694590734466, + "loss": 4.5771, + "mean_token_accuracy": 0.25787000358104706, + "num_tokens": 15107217.0, + "step": 6730 + }, + { + "entropy": 5.458311605453491, + "epoch": 7.281233098972417, + "grad_norm": 1.171875, + "learning_rate": 0.0001451189817571949, + "loss": 4.6624, + "mean_token_accuracy": 0.24796743094921112, + "num_tokens": 15117464.0, + "step": 6735 + }, + { + "entropy": 5.426720666885376, + "epoch": 7.28664142779881, + "grad_norm": 1.1015625, + "learning_rate": 0.00014476897642886355, + "loss": 4.6601, + "mean_token_accuracy": 0.2457870662212372, + "num_tokens": 15127801.0, + "step": 6740 + }, + { + "entropy": 5.524455165863037, + "epoch": 7.292049756625203, + "grad_norm": 1.1171875, + "learning_rate": 0.00014441944436037287, + "loss": 4.8401, + "mean_token_accuracy": 0.2326320692896843, + "num_tokens": 15139117.0, + "step": 6745 + }, + { + "entropy": 5.410741662979126, + "epoch": 7.297458085451596, + "grad_norm": 1.1640625, + "learning_rate": 0.00014407038682192312, + "loss": 4.7018, + "mean_token_accuracy": 0.23679485470056533, + "num_tokens": 15150205.0, + "step": 6750 + }, + { + "entropy": 5.4943968772888185, + "epoch": 7.302866414277988, + "grad_norm": 1.1640625, + "learning_rate": 0.0001437218050819902, + "loss": 4.7458, + "mean_token_accuracy": 0.23985870331525802, + "num_tokens": 15160813.0, + "step": 6755 + }, + { + "entropy": 5.4374031066894535, + "epoch": 7.308274743104381, + "grad_norm": 1.15625, + "learning_rate": 0.000143373700407321, + "loss": 4.6973, + "mean_token_accuracy": 0.23702437579631805, + "num_tokens": 15171609.0, + "step": 6760 + }, + { + "entropy": 5.454741048812866, + "epoch": 7.3136830719307735, + "grad_norm": 1.0859375, + "learning_rate": 0.00014302607406292873, + "loss": 4.6596, + "mean_token_accuracy": 0.2430892437696457, + "num_tokens": 15183030.0, + "step": 6765 + }, + { + "entropy": 5.472054719924927, + "epoch": 7.319091400757166, + "grad_norm": 1.234375, + "learning_rate": 0.00014267892731208826, + "loss": 4.7313, + "mean_token_accuracy": 0.2432381123304367, + "num_tokens": 15193365.0, + "step": 6770 + }, + { + "entropy": 5.426125717163086, + "epoch": 7.324499729583558, + "grad_norm": 1.0703125, + "learning_rate": 0.0001423322614163318, + "loss": 4.6888, + "mean_token_accuracy": 0.2341487318277359, + "num_tokens": 15205075.0, + "step": 6775 + }, + { + "entropy": 5.46237211227417, + "epoch": 7.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.00014198607763544392, + "loss": 4.7177, + "mean_token_accuracy": 0.2393790975213051, + "num_tokens": 15216655.0, + "step": 6780 + }, + { + "entropy": 5.436810684204102, + "epoch": 7.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.00014164037722745715, + "loss": 4.6884, + "mean_token_accuracy": 0.24960858076810838, + "num_tokens": 15228130.0, + "step": 6785 + }, + { + "entropy": 5.390351629257202, + "epoch": 7.340724716062737, + "grad_norm": 0.9609375, + "learning_rate": 0.0001412951614486479, + "loss": 4.6332, + "mean_token_accuracy": 0.24285543262958526, + "num_tokens": 15239019.0, + "step": 6790 + }, + { + "entropy": 5.483645868301392, + "epoch": 7.346133044889129, + "grad_norm": 1.0625, + "learning_rate": 0.00014095043155353085, + "loss": 4.7357, + "mean_token_accuracy": 0.23854799568653107, + "num_tokens": 15250325.0, + "step": 6795 + }, + { + "entropy": 5.4402210235595705, + "epoch": 7.351541373715522, + "grad_norm": 1.234375, + "learning_rate": 0.0001406061887948553, + "loss": 4.7688, + "mean_token_accuracy": 0.22925260066986083, + "num_tokens": 15261670.0, + "step": 6800 + }, + { + "entropy": 5.5303246021270756, + "epoch": 7.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.00014026243442360025, + "loss": 4.742, + "mean_token_accuracy": 0.2413437023758888, + "num_tokens": 15273660.0, + "step": 6805 + }, + { + "entropy": 5.464653587341308, + "epoch": 7.3623580313683075, + "grad_norm": 0.98046875, + "learning_rate": 0.0001399191696889699, + "loss": 4.6256, + "mean_token_accuracy": 0.2464908093214035, + "num_tokens": 15284593.0, + "step": 6810 + }, + { + "entropy": 5.448968410491943, + "epoch": 7.367766360194699, + "grad_norm": 1.0390625, + "learning_rate": 0.0001395763958383891, + "loss": 4.732, + "mean_token_accuracy": 0.23267947733402253, + "num_tokens": 15295860.0, + "step": 6815 + }, + { + "entropy": 5.386800622940063, + "epoch": 7.373174689021092, + "grad_norm": 1.140625, + "learning_rate": 0.0001392341141174987, + "loss": 4.6744, + "mean_token_accuracy": 0.2403596669435501, + "num_tokens": 15306718.0, + "step": 6820 + }, + { + "entropy": 5.456715679168701, + "epoch": 7.378583017847485, + "grad_norm": 0.984375, + "learning_rate": 0.00013889232577015125, + "loss": 4.6425, + "mean_token_accuracy": 0.24926920384168624, + "num_tokens": 15318213.0, + "step": 6825 + }, + { + "entropy": 5.4435365200042725, + "epoch": 7.383991346673878, + "grad_norm": 1.203125, + "learning_rate": 0.00013855103203840673, + "loss": 4.7027, + "mean_token_accuracy": 0.24004194885492325, + "num_tokens": 15328932.0, + "step": 6830 + }, + { + "entropy": 5.453626346588135, + "epoch": 7.38939967550027, + "grad_norm": 1.078125, + "learning_rate": 0.00013821023416252693, + "loss": 4.7246, + "mean_token_accuracy": 0.23861720710992812, + "num_tokens": 15340370.0, + "step": 6835 + }, + { + "entropy": 5.450275945663452, + "epoch": 7.394808004326663, + "grad_norm": 1.078125, + "learning_rate": 0.00013786993338097236, + "loss": 4.7441, + "mean_token_accuracy": 0.23446590304374695, + "num_tokens": 15351567.0, + "step": 6840 + }, + { + "entropy": 5.482220315933228, + "epoch": 7.400216333153056, + "grad_norm": 1.2265625, + "learning_rate": 0.00013753013093039673, + "loss": 4.6906, + "mean_token_accuracy": 0.24328313022851944, + "num_tokens": 15361945.0, + "step": 6845 + }, + { + "entropy": 5.375622081756592, + "epoch": 7.405624661979449, + "grad_norm": 0.9453125, + "learning_rate": 0.000137190828045643, + "loss": 4.6098, + "mean_token_accuracy": 0.24908155649900438, + "num_tokens": 15374267.0, + "step": 6850 + }, + { + "entropy": 5.38783860206604, + "epoch": 7.411032990805841, + "grad_norm": 1.1875, + "learning_rate": 0.00013685202595973861, + "loss": 4.6344, + "mean_token_accuracy": 0.2504056841135025, + "num_tokens": 15384323.0, + "step": 6855 + }, + { + "entropy": 5.458398628234863, + "epoch": 7.416441319632233, + "grad_norm": 1.03125, + "learning_rate": 0.00013651372590389122, + "loss": 4.6744, + "mean_token_accuracy": 0.23910631090402604, + "num_tokens": 15395034.0, + "step": 6860 + }, + { + "entropy": 5.509616470336914, + "epoch": 7.421849648458626, + "grad_norm": 1.1015625, + "learning_rate": 0.00013617592910748378, + "loss": 4.7472, + "mean_token_accuracy": 0.2403371140360832, + "num_tokens": 15405948.0, + "step": 6865 + }, + { + "entropy": 5.450651597976685, + "epoch": 7.427257977285019, + "grad_norm": 1.078125, + "learning_rate": 0.00013583863679807092, + "loss": 4.7383, + "mean_token_accuracy": 0.24283735305070878, + "num_tokens": 15417200.0, + "step": 6870 + }, + { + "entropy": 5.399878263473511, + "epoch": 7.432666306111411, + "grad_norm": 1.140625, + "learning_rate": 0.00013550185020137344, + "loss": 4.6714, + "mean_token_accuracy": 0.23909084647893905, + "num_tokens": 15428525.0, + "step": 6875 + }, + { + "entropy": 5.433660840988159, + "epoch": 7.438074634937804, + "grad_norm": 1.171875, + "learning_rate": 0.0001351655705412747, + "loss": 4.7263, + "mean_token_accuracy": 0.24089816063642502, + "num_tokens": 15440464.0, + "step": 6880 + }, + { + "entropy": 5.434780931472778, + "epoch": 7.443482963764197, + "grad_norm": 0.890625, + "learning_rate": 0.0001348297990398158, + "loss": 4.6652, + "mean_token_accuracy": 0.24440051168203353, + "num_tokens": 15452141.0, + "step": 6885 + }, + { + "entropy": 5.389398670196533, + "epoch": 7.44889129259059, + "grad_norm": 1.28125, + "learning_rate": 0.00013449453691719108, + "loss": 4.6366, + "mean_token_accuracy": 0.2456216871738434, + "num_tokens": 15463550.0, + "step": 6890 + }, + { + "entropy": 5.477556848526001, + "epoch": 7.4542996214169825, + "grad_norm": 1.1484375, + "learning_rate": 0.0001341597853917439, + "loss": 4.7464, + "mean_token_accuracy": 0.23704748153686522, + "num_tokens": 15475021.0, + "step": 6895 + }, + { + "entropy": 5.442272329330445, + "epoch": 7.4597079502433745, + "grad_norm": 1.1015625, + "learning_rate": 0.00013382554567996214, + "loss": 4.6938, + "mean_token_accuracy": 0.24450730830430983, + "num_tokens": 15486567.0, + "step": 6900 + }, + { + "entropy": 5.471250104904175, + "epoch": 7.465116279069767, + "grad_norm": 1.0703125, + "learning_rate": 0.00013349181899647346, + "loss": 4.7249, + "mean_token_accuracy": 0.23975735455751418, + "num_tokens": 15498133.0, + "step": 6905 + }, + { + "entropy": 5.447659826278686, + "epoch": 7.47052460789616, + "grad_norm": 1.046875, + "learning_rate": 0.00013315860655404167, + "loss": 4.7895, + "mean_token_accuracy": 0.23136132061481476, + "num_tokens": 15509723.0, + "step": 6910 + }, + { + "entropy": 5.456309413909912, + "epoch": 7.475932936722553, + "grad_norm": 1.078125, + "learning_rate": 0.0001328259095635615, + "loss": 4.7115, + "mean_token_accuracy": 0.23292717039585115, + "num_tokens": 15519590.0, + "step": 6915 + }, + { + "entropy": 5.4850624084472654, + "epoch": 7.481341265548945, + "grad_norm": 1.0703125, + "learning_rate": 0.0001324937292340545, + "loss": 4.7387, + "mean_token_accuracy": 0.23711150139570236, + "num_tokens": 15531112.0, + "step": 6920 + }, + { + "entropy": 5.4384623050689695, + "epoch": 7.486749594375338, + "grad_norm": 1.15625, + "learning_rate": 0.00013216206677266475, + "loss": 4.6405, + "mean_token_accuracy": 0.24470630288124084, + "num_tokens": 15541341.0, + "step": 6925 + }, + { + "entropy": 5.4840343475341795, + "epoch": 7.492157923201731, + "grad_norm": 1.1171875, + "learning_rate": 0.0001318309233846544, + "loss": 4.7422, + "mean_token_accuracy": 0.236113977432251, + "num_tokens": 15553025.0, + "step": 6930 + }, + { + "entropy": 5.563514947891235, + "epoch": 7.497566252028124, + "grad_norm": 1.1328125, + "learning_rate": 0.00013150030027339935, + "loss": 4.7686, + "mean_token_accuracy": 0.23476097285747527, + "num_tokens": 15563824.0, + "step": 6935 + }, + { + "entropy": 5.46577525138855, + "epoch": 7.502974580854516, + "grad_norm": 1.1796875, + "learning_rate": 0.00013117019864038483, + "loss": 4.7118, + "mean_token_accuracy": 0.24245630502700805, + "num_tokens": 15575129.0, + "step": 6940 + }, + { + "entropy": 5.415052223205566, + "epoch": 7.5083829096809085, + "grad_norm": 0.9453125, + "learning_rate": 0.00013084061968520063, + "loss": 4.675, + "mean_token_accuracy": 0.2389229193329811, + "num_tokens": 15586018.0, + "step": 6945 + }, + { + "entropy": 5.501877355575561, + "epoch": 7.513791238507301, + "grad_norm": 1.0546875, + "learning_rate": 0.00013051156460553776, + "loss": 4.8056, + "mean_token_accuracy": 0.2328426405787468, + "num_tokens": 15597062.0, + "step": 6950 + }, + { + "entropy": 5.530647611618042, + "epoch": 7.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.00013018303459718305, + "loss": 4.8664, + "mean_token_accuracy": 0.2271554872393608, + "num_tokens": 15608666.0, + "step": 6955 + }, + { + "entropy": 5.479798126220703, + "epoch": 7.524607896160086, + "grad_norm": 1.046875, + "learning_rate": 0.00012985503085401523, + "loss": 4.7171, + "mean_token_accuracy": 0.241233229637146, + "num_tokens": 15619764.0, + "step": 6960 + }, + { + "entropy": 5.508718585968017, + "epoch": 7.530016224986479, + "grad_norm": 1.0546875, + "learning_rate": 0.00012952755456800067, + "loss": 4.7602, + "mean_token_accuracy": 0.23189041912555694, + "num_tokens": 15631611.0, + "step": 6965 + }, + { + "entropy": 5.498543310165405, + "epoch": 7.535424553812872, + "grad_norm": 1.109375, + "learning_rate": 0.000129200606929189, + "loss": 4.7292, + "mean_token_accuracy": 0.24636310935020447, + "num_tokens": 15642392.0, + "step": 6970 + }, + { + "entropy": 5.480962038040161, + "epoch": 7.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.0001288741891257087, + "loss": 4.725, + "mean_token_accuracy": 0.2412426218390465, + "num_tokens": 15655304.0, + "step": 6975 + }, + { + "entropy": 5.409903812408447, + "epoch": 7.546241211465657, + "grad_norm": 1.0546875, + "learning_rate": 0.00012854830234376277, + "loss": 4.6985, + "mean_token_accuracy": 0.23944918811321259, + "num_tokens": 15666055.0, + "step": 6980 + }, + { + "entropy": 5.448230409622193, + "epoch": 7.55164954029205, + "grad_norm": 1.1171875, + "learning_rate": 0.0001282229477676246, + "loss": 4.7246, + "mean_token_accuracy": 0.2372318223118782, + "num_tokens": 15676287.0, + "step": 6985 + }, + { + "entropy": 5.526154470443726, + "epoch": 7.5570578691184425, + "grad_norm": 1.171875, + "learning_rate": 0.0001278981265796334, + "loss": 4.7988, + "mean_token_accuracy": 0.23436320722103118, + "num_tokens": 15687448.0, + "step": 6990 + }, + { + "entropy": 5.418953084945679, + "epoch": 7.562466197944835, + "grad_norm": 1.09375, + "learning_rate": 0.00012757383996019024, + "loss": 4.6595, + "mean_token_accuracy": 0.23905721604824065, + "num_tokens": 15698303.0, + "step": 6995 + }, + { + "entropy": 5.4294517993927, + "epoch": 7.567874526771227, + "grad_norm": 1.140625, + "learning_rate": 0.0001272500890877533, + "loss": 4.5963, + "mean_token_accuracy": 0.2506329596042633, + "num_tokens": 15708905.0, + "step": 7000 + }, + { + "epoch": 7.567874526771227, + "eval_entropy": 5.361298730156639, + "eval_loss": 5.836106300354004, + "eval_mean_token_accuracy": 0.18401451317424125, + "eval_num_tokens": 15708905.0, + "eval_runtime": 3.5384, + "eval_samples_per_second": 993.377, + "eval_steps_per_second": 124.349, + "step": 7000 + }, + { + "entropy": 5.410555648803711, + "epoch": 7.57328285559762, + "grad_norm": 1.1171875, + "learning_rate": 0.00012692687513883393, + "loss": 4.6628, + "mean_token_accuracy": 0.247932131588459, + "num_tokens": 15719394.0, + "step": 7005 + }, + { + "entropy": 5.488701438903808, + "epoch": 7.578691184424013, + "grad_norm": 1.1171875, + "learning_rate": 0.00012660419928799265, + "loss": 4.7425, + "mean_token_accuracy": 0.24454527497291564, + "num_tokens": 15729754.0, + "step": 7010 + }, + { + "entropy": 5.45831265449524, + "epoch": 7.584099513250406, + "grad_norm": 1.1015625, + "learning_rate": 0.00012628206270783404, + "loss": 4.7098, + "mean_token_accuracy": 0.24095088988542557, + "num_tokens": 15741194.0, + "step": 7015 + }, + { + "entropy": 5.4275898933410645, + "epoch": 7.589507842076799, + "grad_norm": 1.125, + "learning_rate": 0.00012596046656900323, + "loss": 4.6905, + "mean_token_accuracy": 0.25003129839897154, + "num_tokens": 15752594.0, + "step": 7020 + }, + { + "entropy": 5.448650074005127, + "epoch": 7.594916170903191, + "grad_norm": 1.0625, + "learning_rate": 0.0001256394120401813, + "loss": 4.7101, + "mean_token_accuracy": 0.24013070166110992, + "num_tokens": 15764121.0, + "step": 7025 + }, + { + "entropy": 5.455530309677124, + "epoch": 7.600324499729584, + "grad_norm": 1.03125, + "learning_rate": 0.00012531890028808122, + "loss": 4.6706, + "mean_token_accuracy": 0.24022805839776992, + "num_tokens": 15775842.0, + "step": 7030 + }, + { + "entropy": 5.462522268295288, + "epoch": 7.605732828555976, + "grad_norm": 1.21875, + "learning_rate": 0.0001249989324774434, + "loss": 4.6204, + "mean_token_accuracy": 0.24893483370542527, + "num_tokens": 15787663.0, + "step": 7035 + }, + { + "entropy": 5.4826967239379885, + "epoch": 7.611141157382368, + "grad_norm": 1.09375, + "learning_rate": 0.00012467950977103158, + "loss": 4.6754, + "mean_token_accuracy": 0.23806458562612534, + "num_tokens": 15799675.0, + "step": 7040 + }, + { + "entropy": 5.448901271820068, + "epoch": 7.616549486208761, + "grad_norm": 1.03125, + "learning_rate": 0.00012436063332962852, + "loss": 4.7347, + "mean_token_accuracy": 0.23882138431072236, + "num_tokens": 15810772.0, + "step": 7045 + }, + { + "entropy": 5.473357391357422, + "epoch": 7.621957815035154, + "grad_norm": 1.0859375, + "learning_rate": 0.00012404230431203227, + "loss": 4.7761, + "mean_token_accuracy": 0.2378004312515259, + "num_tokens": 15823711.0, + "step": 7050 + }, + { + "entropy": 5.415027236938476, + "epoch": 7.627366143861547, + "grad_norm": 1.1328125, + "learning_rate": 0.00012372452387505087, + "loss": 4.6382, + "mean_token_accuracy": 0.24569786489009857, + "num_tokens": 15834603.0, + "step": 7055 + }, + { + "entropy": 5.376887321472168, + "epoch": 7.63277447268794, + "grad_norm": 1.0, + "learning_rate": 0.0001234072931734993, + "loss": 4.6471, + "mean_token_accuracy": 0.2411333292722702, + "num_tokens": 15846238.0, + "step": 7060 + }, + { + "entropy": 5.524644470214843, + "epoch": 7.638182801514332, + "grad_norm": 1.0078125, + "learning_rate": 0.00012309061336019465, + "loss": 4.8, + "mean_token_accuracy": 0.22993574738502504, + "num_tokens": 15858560.0, + "step": 7065 + }, + { + "entropy": 5.416137933731079, + "epoch": 7.643591130340725, + "grad_norm": 1.03125, + "learning_rate": 0.00012277448558595212, + "loss": 4.6533, + "mean_token_accuracy": 0.2425800859928131, + "num_tokens": 15870624.0, + "step": 7070 + }, + { + "entropy": 5.454917049407959, + "epoch": 7.6489994591671175, + "grad_norm": 1.09375, + "learning_rate": 0.00012245891099958074, + "loss": 4.6744, + "mean_token_accuracy": 0.24045936465263368, + "num_tokens": 15881199.0, + "step": 7075 + }, + { + "entropy": 5.495878791809082, + "epoch": 7.6544077879935095, + "grad_norm": 1.0546875, + "learning_rate": 0.0001221438907478793, + "loss": 4.7903, + "mean_token_accuracy": 0.23239711970090865, + "num_tokens": 15893270.0, + "step": 7080 + }, + { + "entropy": 5.421728515625, + "epoch": 7.659816116819902, + "grad_norm": 1.09375, + "learning_rate": 0.00012182942597563213, + "loss": 4.6349, + "mean_token_accuracy": 0.24187428802251815, + "num_tokens": 15904509.0, + "step": 7085 + }, + { + "entropy": 5.419718074798584, + "epoch": 7.665224445646295, + "grad_norm": 1.203125, + "learning_rate": 0.00012151551782560499, + "loss": 4.6072, + "mean_token_accuracy": 0.2526846662163734, + "num_tokens": 15914913.0, + "step": 7090 + }, + { + "entropy": 5.489346218109131, + "epoch": 7.670632774472688, + "grad_norm": 1.171875, + "learning_rate": 0.00012120216743854068, + "loss": 4.7075, + "mean_token_accuracy": 0.24569393545389176, + "num_tokens": 15925742.0, + "step": 7095 + }, + { + "entropy": 5.388180208206177, + "epoch": 7.676041103299081, + "grad_norm": 1.03125, + "learning_rate": 0.00012088937595315525, + "loss": 4.6899, + "mean_token_accuracy": 0.24826941937208175, + "num_tokens": 15936165.0, + "step": 7100 + }, + { + "entropy": 5.413707208633423, + "epoch": 7.681449432125473, + "grad_norm": 1.1484375, + "learning_rate": 0.0001205771445061339, + "loss": 4.7469, + "mean_token_accuracy": 0.23956471979618071, + "num_tokens": 15948570.0, + "step": 7105 + }, + { + "entropy": 5.4949205875396725, + "epoch": 7.686857760951866, + "grad_norm": 1.015625, + "learning_rate": 0.0001202654742321262, + "loss": 4.7265, + "mean_token_accuracy": 0.23922350108623505, + "num_tokens": 15959890.0, + "step": 7110 + }, + { + "entropy": 5.452880001068115, + "epoch": 7.692266089778259, + "grad_norm": 1.1796875, + "learning_rate": 0.00011995436626374272, + "loss": 4.673, + "mean_token_accuracy": 0.24784787148237228, + "num_tokens": 15970632.0, + "step": 7115 + }, + { + "entropy": 5.416787195205688, + "epoch": 7.6976744186046515, + "grad_norm": 1.25, + "learning_rate": 0.00011964382173155053, + "loss": 4.6689, + "mean_token_accuracy": 0.2400309830904007, + "num_tokens": 15981352.0, + "step": 7120 + }, + { + "entropy": 5.4355627536773685, + "epoch": 7.7030827474310435, + "grad_norm": 1.234375, + "learning_rate": 0.00011933384176406915, + "loss": 4.646, + "mean_token_accuracy": 0.2374104455113411, + "num_tokens": 15991619.0, + "step": 7125 + }, + { + "entropy": 5.429497241973877, + "epoch": 7.708491076257436, + "grad_norm": 1.125, + "learning_rate": 0.0001190244274877666, + "loss": 4.6864, + "mean_token_accuracy": 0.2413660168647766, + "num_tokens": 16001588.0, + "step": 7130 + }, + { + "entropy": 5.494664478302002, + "epoch": 7.713899405083829, + "grad_norm": 1.0390625, + "learning_rate": 0.00011871558002705501, + "loss": 4.7115, + "mean_token_accuracy": 0.24696183651685716, + "num_tokens": 16013230.0, + "step": 7135 + }, + { + "entropy": 5.471933650970459, + "epoch": 7.719307733910222, + "grad_norm": 1.0703125, + "learning_rate": 0.00011840730050428666, + "loss": 4.7204, + "mean_token_accuracy": 0.2421387568116188, + "num_tokens": 16024310.0, + "step": 7140 + }, + { + "entropy": 5.53667459487915, + "epoch": 7.724716062736614, + "grad_norm": 1.1796875, + "learning_rate": 0.0001180995900397503, + "loss": 4.77, + "mean_token_accuracy": 0.24355804920196533, + "num_tokens": 16035188.0, + "step": 7145 + }, + { + "entropy": 5.480495023727417, + "epoch": 7.730124391563007, + "grad_norm": 1.1953125, + "learning_rate": 0.00011779244975166623, + "loss": 4.7301, + "mean_token_accuracy": 0.24054988771677016, + "num_tokens": 16046354.0, + "step": 7150 + }, + { + "entropy": 5.426711893081665, + "epoch": 7.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00011748588075618305, + "loss": 4.7118, + "mean_token_accuracy": 0.24877999126911163, + "num_tokens": 16056809.0, + "step": 7155 + }, + { + "entropy": 5.4671995639801025, + "epoch": 7.740941049215793, + "grad_norm": 1.21875, + "learning_rate": 0.00011717988416737322, + "loss": 4.7184, + "mean_token_accuracy": 0.24492209553718566, + "num_tokens": 16067440.0, + "step": 7160 + }, + { + "entropy": 5.4140464782714846, + "epoch": 7.746349378042185, + "grad_norm": 1.0625, + "learning_rate": 0.00011687446109722904, + "loss": 4.6476, + "mean_token_accuracy": 0.24424516260623932, + "num_tokens": 16078126.0, + "step": 7165 + }, + { + "entropy": 5.456424331665039, + "epoch": 7.7517577068685775, + "grad_norm": 1.0625, + "learning_rate": 0.00011656961265565864, + "loss": 4.7301, + "mean_token_accuracy": 0.24294260144233704, + "num_tokens": 16090823.0, + "step": 7170 + }, + { + "entropy": 5.463951253890992, + "epoch": 7.75716603569497, + "grad_norm": 1.015625, + "learning_rate": 0.00011626533995048204, + "loss": 4.67, + "mean_token_accuracy": 0.24340787380933762, + "num_tokens": 16102544.0, + "step": 7175 + }, + { + "entropy": 5.5464982986450195, + "epoch": 7.762574364521363, + "grad_norm": 1.1875, + "learning_rate": 0.00011596164408742675, + "loss": 4.8036, + "mean_token_accuracy": 0.2365711435675621, + "num_tokens": 16113573.0, + "step": 7180 + }, + { + "entropy": 5.379365015029907, + "epoch": 7.767982693347756, + "grad_norm": 1.1328125, + "learning_rate": 0.00011565852617012452, + "loss": 4.6496, + "mean_token_accuracy": 0.24278265684843064, + "num_tokens": 16124999.0, + "step": 7185 + }, + { + "entropy": 5.405616998672485, + "epoch": 7.773391022174148, + "grad_norm": 1.1171875, + "learning_rate": 0.00011535598730010633, + "loss": 4.6691, + "mean_token_accuracy": 0.2426201358437538, + "num_tokens": 16134941.0, + "step": 7190 + }, + { + "entropy": 5.482621383666992, + "epoch": 7.778799351000541, + "grad_norm": 1.0859375, + "learning_rate": 0.00011505402857679921, + "loss": 4.6785, + "mean_token_accuracy": 0.24790813624858857, + "num_tokens": 16146336.0, + "step": 7195 + }, + { + "entropy": 5.498623847961426, + "epoch": 7.784207679826934, + "grad_norm": 1.0546875, + "learning_rate": 0.00011475265109752187, + "loss": 4.7665, + "mean_token_accuracy": 0.2398320570588112, + "num_tokens": 16158539.0, + "step": 7200 + }, + { + "entropy": 5.464281845092773, + "epoch": 7.789616008653326, + "grad_norm": 1.125, + "learning_rate": 0.00011445185595748074, + "loss": 4.7972, + "mean_token_accuracy": 0.2307965487241745, + "num_tokens": 16170878.0, + "step": 7205 + }, + { + "entropy": 5.391339731216431, + "epoch": 7.795024337479719, + "grad_norm": 1.1484375, + "learning_rate": 0.0001141516442497661, + "loss": 4.6314, + "mean_token_accuracy": 0.23817023634910583, + "num_tokens": 16182076.0, + "step": 7210 + }, + { + "entropy": 5.396452331542969, + "epoch": 7.800432666306111, + "grad_norm": 1.078125, + "learning_rate": 0.00011385201706534803, + "loss": 4.6701, + "mean_token_accuracy": 0.24000394940376282, + "num_tokens": 16192850.0, + "step": 7215 + }, + { + "entropy": 5.375637197494507, + "epoch": 7.805840995132504, + "grad_norm": 1.09375, + "learning_rate": 0.0001135529754930722, + "loss": 4.6392, + "mean_token_accuracy": 0.24287021309137344, + "num_tokens": 16204118.0, + "step": 7220 + }, + { + "entropy": 5.557591438293457, + "epoch": 7.811249323958897, + "grad_norm": 1.1171875, + "learning_rate": 0.00011325452061965662, + "loss": 4.7428, + "mean_token_accuracy": 0.23815116435289382, + "num_tokens": 16215513.0, + "step": 7225 + }, + { + "entropy": 5.451365947723389, + "epoch": 7.816657652785289, + "grad_norm": 1.1796875, + "learning_rate": 0.00011295665352968692, + "loss": 4.7363, + "mean_token_accuracy": 0.23681218177080154, + "num_tokens": 16228169.0, + "step": 7230 + }, + { + "entropy": 5.480658626556396, + "epoch": 7.822065981611682, + "grad_norm": 1.234375, + "learning_rate": 0.00011265937530561271, + "loss": 4.6689, + "mean_token_accuracy": 0.2397017553448677, + "num_tokens": 16239200.0, + "step": 7235 + }, + { + "entropy": 5.530086040496826, + "epoch": 7.827474310438075, + "grad_norm": 1.1328125, + "learning_rate": 0.00011236268702774377, + "loss": 4.7757, + "mean_token_accuracy": 0.23204438984394074, + "num_tokens": 16250979.0, + "step": 7240 + }, + { + "entropy": 5.450435733795166, + "epoch": 7.832882639264467, + "grad_norm": 1.1796875, + "learning_rate": 0.00011206658977424605, + "loss": 4.693, + "mean_token_accuracy": 0.2333730399608612, + "num_tokens": 16262103.0, + "step": 7245 + }, + { + "entropy": 5.4131334781646725, + "epoch": 7.83829096809086, + "grad_norm": 1.1015625, + "learning_rate": 0.00011177108462113761, + "loss": 4.6902, + "mean_token_accuracy": 0.24078061431646347, + "num_tokens": 16272948.0, + "step": 7250 + }, + { + "entropy": 5.436950731277466, + "epoch": 7.8436992969172525, + "grad_norm": 1.1328125, + "learning_rate": 0.00011147617264228491, + "loss": 4.6133, + "mean_token_accuracy": 0.2494473084807396, + "num_tokens": 16283180.0, + "step": 7255 + }, + { + "entropy": 5.441599941253662, + "epoch": 7.849107625743645, + "grad_norm": 1.0703125, + "learning_rate": 0.00011118185490939861, + "loss": 4.6331, + "mean_token_accuracy": 0.251367150247097, + "num_tokens": 16294886.0, + "step": 7260 + }, + { + "entropy": 5.464648628234864, + "epoch": 7.854515954570038, + "grad_norm": 1.1171875, + "learning_rate": 0.00011088813249203019, + "loss": 4.6634, + "mean_token_accuracy": 0.25127213448286057, + "num_tokens": 16305979.0, + "step": 7265 + }, + { + "entropy": 5.401372051239013, + "epoch": 7.85992428339643, + "grad_norm": 0.9609375, + "learning_rate": 0.00011059500645756762, + "loss": 4.6638, + "mean_token_accuracy": 0.23800498843193055, + "num_tokens": 16318645.0, + "step": 7270 + }, + { + "entropy": 5.375847434997558, + "epoch": 7.865332612222823, + "grad_norm": 1.109375, + "learning_rate": 0.00011030247787123147, + "loss": 4.6428, + "mean_token_accuracy": 0.24710031747817993, + "num_tokens": 16329907.0, + "step": 7275 + }, + { + "entropy": 5.449215126037598, + "epoch": 7.870740941049216, + "grad_norm": 1.1015625, + "learning_rate": 0.00011001054779607121, + "loss": 4.7858, + "mean_token_accuracy": 0.2368557870388031, + "num_tokens": 16342531.0, + "step": 7280 + }, + { + "entropy": 5.461852312088013, + "epoch": 7.876149269875609, + "grad_norm": 1.171875, + "learning_rate": 0.00010971921729296172, + "loss": 4.6284, + "mean_token_accuracy": 0.2432481676340103, + "num_tokens": 16355394.0, + "step": 7285 + }, + { + "entropy": 5.381710481643677, + "epoch": 7.881557598702001, + "grad_norm": 1.15625, + "learning_rate": 0.00010942848742059845, + "loss": 4.5176, + "mean_token_accuracy": 0.26522424519062043, + "num_tokens": 16366049.0, + "step": 7290 + }, + { + "entropy": 5.439858341217041, + "epoch": 7.886965927528394, + "grad_norm": 1.0, + "learning_rate": 0.00010913835923549453, + "loss": 4.6763, + "mean_token_accuracy": 0.24100939333438873, + "num_tokens": 16378597.0, + "step": 7295 + }, + { + "entropy": 5.507377433776855, + "epoch": 7.8923742563547865, + "grad_norm": 1.046875, + "learning_rate": 0.00010884883379197643, + "loss": 4.8337, + "mean_token_accuracy": 0.2296651244163513, + "num_tokens": 16391417.0, + "step": 7300 + }, + { + "entropy": 5.442261743545532, + "epoch": 7.897782585181179, + "grad_norm": 1.1484375, + "learning_rate": 0.00010855991214218028, + "loss": 4.6895, + "mean_token_accuracy": 0.24659370332956315, + "num_tokens": 16402188.0, + "step": 7305 + }, + { + "entropy": 5.4488245964050295, + "epoch": 7.903190914007571, + "grad_norm": 1.1015625, + "learning_rate": 0.00010827159533604814, + "loss": 4.7273, + "mean_token_accuracy": 0.24307797700166703, + "num_tokens": 16415124.0, + "step": 7310 + }, + { + "entropy": 5.47108826637268, + "epoch": 7.908599242833964, + "grad_norm": 1.0234375, + "learning_rate": 0.00010798388442132375, + "loss": 4.726, + "mean_token_accuracy": 0.23914463967084884, + "num_tokens": 16426536.0, + "step": 7315 + }, + { + "entropy": 5.472820854187011, + "epoch": 7.914007571660357, + "grad_norm": 1.0703125, + "learning_rate": 0.00010769678044354927, + "loss": 4.6824, + "mean_token_accuracy": 0.24461480379104614, + "num_tokens": 16438417.0, + "step": 7320 + }, + { + "entropy": 5.444475698471069, + "epoch": 7.91941590048675, + "grad_norm": 1.15625, + "learning_rate": 0.00010741028444606141, + "loss": 4.6947, + "mean_token_accuracy": 0.23717159330844878, + "num_tokens": 16449271.0, + "step": 7325 + }, + { + "entropy": 5.5423647403717045, + "epoch": 7.924824229313142, + "grad_norm": 1.0390625, + "learning_rate": 0.00010712439746998711, + "loss": 4.7897, + "mean_token_accuracy": 0.23704513907432556, + "num_tokens": 16460387.0, + "step": 7330 + }, + { + "entropy": 5.444651031494141, + "epoch": 7.930232558139535, + "grad_norm": 1.1875, + "learning_rate": 0.00010683912055424036, + "loss": 4.6753, + "mean_token_accuracy": 0.24380592852830887, + "num_tokens": 16471262.0, + "step": 7335 + }, + { + "entropy": 5.476079893112183, + "epoch": 7.935640886965928, + "grad_norm": 1.1328125, + "learning_rate": 0.00010655445473551809, + "loss": 4.717, + "mean_token_accuracy": 0.2410126581788063, + "num_tokens": 16482605.0, + "step": 7340 + }, + { + "entropy": 5.527096271514893, + "epoch": 7.9410492157923205, + "grad_norm": 1.0078125, + "learning_rate": 0.00010627040104829658, + "loss": 4.8036, + "mean_token_accuracy": 0.2348283812403679, + "num_tokens": 16493951.0, + "step": 7345 + }, + { + "entropy": 5.456842517852783, + "epoch": 7.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00010598696052482759, + "loss": 4.6976, + "mean_token_accuracy": 0.24492332637310027, + "num_tokens": 16506236.0, + "step": 7350 + }, + { + "entropy": 5.3653977394104, + "epoch": 7.951865873445105, + "grad_norm": 1.1953125, + "learning_rate": 0.0001057041341951347, + "loss": 4.5836, + "mean_token_accuracy": 0.25700664669275286, + "num_tokens": 16518339.0, + "step": 7355 + }, + { + "entropy": 5.5039787769317625, + "epoch": 7.957274202271498, + "grad_norm": 1.109375, + "learning_rate": 0.00010542192308700925, + "loss": 4.696, + "mean_token_accuracy": 0.23916687071323395, + "num_tokens": 16528733.0, + "step": 7360 + }, + { + "entropy": 5.485801410675049, + "epoch": 7.962682531097891, + "grad_norm": 1.0078125, + "learning_rate": 0.00010514032822600733, + "loss": 4.7267, + "mean_token_accuracy": 0.2381901979446411, + "num_tokens": 16540776.0, + "step": 7365 + }, + { + "entropy": 5.451934957504273, + "epoch": 7.968090859924283, + "grad_norm": 1.046875, + "learning_rate": 0.00010485935063544507, + "loss": 4.689, + "mean_token_accuracy": 0.24322576075792313, + "num_tokens": 16550818.0, + "step": 7370 + }, + { + "entropy": 5.453809833526611, + "epoch": 7.973499188750676, + "grad_norm": 1.203125, + "learning_rate": 0.00010457899133639579, + "loss": 4.6948, + "mean_token_accuracy": 0.2377357676625252, + "num_tokens": 16561791.0, + "step": 7375 + }, + { + "entropy": 5.454491090774536, + "epoch": 7.978907517577069, + "grad_norm": 1.015625, + "learning_rate": 0.00010429925134768584, + "loss": 4.7094, + "mean_token_accuracy": 0.24362270534038544, + "num_tokens": 16573360.0, + "step": 7380 + }, + { + "entropy": 5.455304384231567, + "epoch": 7.984315846403462, + "grad_norm": 1.109375, + "learning_rate": 0.00010402013168589092, + "loss": 4.6871, + "mean_token_accuracy": 0.24073503017425538, + "num_tokens": 16584061.0, + "step": 7385 + }, + { + "entropy": 5.498722267150879, + "epoch": 7.9897241752298545, + "grad_norm": 1.1953125, + "learning_rate": 0.00010374163336533261, + "loss": 4.7115, + "mean_token_accuracy": 0.24242723137140273, + "num_tokens": 16594178.0, + "step": 7390 + }, + { + "entropy": 5.465503931045532, + "epoch": 7.995132504056246, + "grad_norm": 1.0625, + "learning_rate": 0.00010346375739807448, + "loss": 4.7691, + "mean_token_accuracy": 0.23564232885837555, + "num_tokens": 16605577.0, + "step": 7395 + }, + { + "entropy": 5.464390542772081, + "epoch": 8.0, + "grad_norm": 1.7578125, + "learning_rate": 0.00010318650479391825, + "loss": 4.9279, + "mean_token_accuracy": 0.2289217991961373, + "num_tokens": 16615112.0, + "step": 7400 + }, + { + "entropy": 5.47802357673645, + "epoch": 8.005408328826393, + "grad_norm": 1.1015625, + "learning_rate": 0.00010290987656040076, + "loss": 4.6055, + "mean_token_accuracy": 0.250070184469223, + "num_tokens": 16625050.0, + "step": 7405 + }, + { + "entropy": 5.419842958450317, + "epoch": 8.010816657652786, + "grad_norm": 1.0234375, + "learning_rate": 0.00010263387370278948, + "loss": 4.6823, + "mean_token_accuracy": 0.24250650703907012, + "num_tokens": 16636536.0, + "step": 7410 + }, + { + "entropy": 5.510037469863891, + "epoch": 8.016224986479179, + "grad_norm": 1.046875, + "learning_rate": 0.0001023584972240795, + "loss": 4.6833, + "mean_token_accuracy": 0.2475518226623535, + "num_tokens": 16647439.0, + "step": 7415 + }, + { + "entropy": 5.482249116897583, + "epoch": 8.021633315305571, + "grad_norm": 0.9765625, + "learning_rate": 0.00010208374812498955, + "loss": 4.6558, + "mean_token_accuracy": 0.24430694729089736, + "num_tokens": 16659778.0, + "step": 7420 + }, + { + "entropy": 5.473934984207153, + "epoch": 8.027041644131963, + "grad_norm": 1.09375, + "learning_rate": 0.00010180962740395853, + "loss": 4.6552, + "mean_token_accuracy": 0.24364316910505296, + "num_tokens": 16671095.0, + "step": 7425 + }, + { + "entropy": 5.4153577327728275, + "epoch": 8.032449972958355, + "grad_norm": 1.1953125, + "learning_rate": 0.00010153613605714173, + "loss": 4.5976, + "mean_token_accuracy": 0.24691200405359268, + "num_tokens": 16682401.0, + "step": 7430 + }, + { + "entropy": 5.469314336776733, + "epoch": 8.037858301784748, + "grad_norm": 1.109375, + "learning_rate": 0.00010126327507840744, + "loss": 4.6506, + "mean_token_accuracy": 0.252379909157753, + "num_tokens": 16692606.0, + "step": 7435 + }, + { + "entropy": 5.410546731948853, + "epoch": 8.043266630611141, + "grad_norm": 1.1328125, + "learning_rate": 0.00010099104545933288, + "loss": 4.5712, + "mean_token_accuracy": 0.25820337384939196, + "num_tokens": 16704771.0, + "step": 7440 + }, + { + "entropy": 5.384668970108033, + "epoch": 8.048674959437534, + "grad_norm": 0.9375, + "learning_rate": 0.00010071944818920127, + "loss": 4.6552, + "mean_token_accuracy": 0.24849636107683182, + "num_tokens": 16717512.0, + "step": 7445 + }, + { + "entropy": 5.443715047836304, + "epoch": 8.054083288263927, + "grad_norm": 0.98046875, + "learning_rate": 0.0001004484842549978, + "loss": 4.6667, + "mean_token_accuracy": 0.24980415850877763, + "num_tokens": 16729457.0, + "step": 7450 + }, + { + "entropy": 5.450451183319092, + "epoch": 8.05949161709032, + "grad_norm": 1.0625, + "learning_rate": 0.00010017815464140583, + "loss": 4.6362, + "mean_token_accuracy": 0.25708851516246795, + "num_tokens": 16741195.0, + "step": 7455 + }, + { + "entropy": 5.417760133743286, + "epoch": 8.064899945916713, + "grad_norm": 1.1640625, + "learning_rate": 9.990846033080389e-05, + "loss": 4.6228, + "mean_token_accuracy": 0.2414257511496544, + "num_tokens": 16752261.0, + "step": 7460 + }, + { + "entropy": 5.442473030090332, + "epoch": 8.070308274743104, + "grad_norm": 1.1953125, + "learning_rate": 9.963940230326176e-05, + "loss": 4.6233, + "mean_token_accuracy": 0.26104655861854553, + "num_tokens": 16763492.0, + "step": 7465 + }, + { + "entropy": 5.4000101566314695, + "epoch": 8.075716603569496, + "grad_norm": 1.0703125, + "learning_rate": 9.937098153653687e-05, + "loss": 4.6045, + "mean_token_accuracy": 0.2507203996181488, + "num_tokens": 16775218.0, + "step": 7470 + }, + { + "entropy": 5.359610509872437, + "epoch": 8.08112493239589, + "grad_norm": 1.078125, + "learning_rate": 9.910319900607104e-05, + "loss": 4.5564, + "mean_token_accuracy": 0.24946845918893815, + "num_tokens": 16786589.0, + "step": 7475 + }, + { + "entropy": 5.432454395294189, + "epoch": 8.086533261222282, + "grad_norm": 1.046875, + "learning_rate": 9.883605568498635e-05, + "loss": 4.5938, + "mean_token_accuracy": 0.25214662700891494, + "num_tokens": 16798308.0, + "step": 7480 + }, + { + "entropy": 5.478470659255981, + "epoch": 8.091941590048675, + "grad_norm": 1.046875, + "learning_rate": 9.856955254408248e-05, + "loss": 4.7026, + "mean_token_accuracy": 0.24253612458705903, + "num_tokens": 16810039.0, + "step": 7485 + }, + { + "entropy": 5.3934972286224365, + "epoch": 8.097349918875068, + "grad_norm": 1.1796875, + "learning_rate": 9.830369055183244e-05, + "loss": 4.6452, + "mean_token_accuracy": 0.24484411627054214, + "num_tokens": 16820571.0, + "step": 7490 + }, + { + "entropy": 5.449046611785889, + "epoch": 8.10275824770146, + "grad_norm": 1.1640625, + "learning_rate": 9.80384706743792e-05, + "loss": 4.625, + "mean_token_accuracy": 0.24314706325531005, + "num_tokens": 16831165.0, + "step": 7495 + }, + { + "entropy": 5.5349438190460205, + "epoch": 8.108166576527854, + "grad_norm": 1.0625, + "learning_rate": 9.777389387553243e-05, + "loss": 4.7445, + "mean_token_accuracy": 0.23332213163375853, + "num_tokens": 16842599.0, + "step": 7500 + }, + { + "epoch": 8.108166576527854, + "eval_entropy": 5.340487690405412, + "eval_loss": 5.837372303009033, + "eval_mean_token_accuracy": 0.18408739008009434, + "eval_num_tokens": 16842599.0, + "eval_runtime": 3.5461, + "eval_samples_per_second": 991.217, + "eval_steps_per_second": 124.078, + "step": 7500 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 3904300196904960.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-7500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-8000/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..8a6879d --- /dev/null +++ b/checkpoint-8000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e889966cc23684fdd85b12dfe110dd98b16591b6cf651f6407badfb9028e596 +size 78179408 diff --git a/checkpoint-8000/rng_state.pth b/checkpoint-8000/rng_state.pth new file mode 100644 index 0000000..cbae768 --- /dev/null +++ b/checkpoint-8000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93a7907dc8e2aa3d940fd27a6108fa166f0f11050f48ceef13d92f2c20c9982e +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-8000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-8000/trainer_state.json b/checkpoint-8000/trainer_state.json new file mode 100644 index 0000000..935fcb5 --- /dev/null +++ b/checkpoint-8000/trainer_state.json @@ -0,0 +1,16210 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 8.648999459167117, + "eval_steps": 500, + "global_step": 8000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + }, + { + "entropy": 5.5260412216186525, + "epoch": 4.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0003273583644789772, + "loss": 5.0416, + "mean_token_accuracy": 0.2119097203016281, + "num_tokens": 10116420.0, + "step": 4505 + }, + { + "entropy": 5.480229425430298, + "epoch": 4.876149269875609, + "grad_norm": 0.984375, + "learning_rate": 0.00032694112553039795, + "loss": 5.0407, + "mean_token_accuracy": 0.20997347682714462, + "num_tokens": 10127289.0, + "step": 4510 + }, + { + "entropy": 5.582333183288574, + "epoch": 4.881557598702001, + "grad_norm": 0.89453125, + "learning_rate": 0.0003265236978276484, + "loss": 5.1776, + "mean_token_accuracy": 0.2014921173453331, + "num_tokens": 10139216.0, + "step": 4515 + }, + { + "entropy": 5.586625242233277, + "epoch": 4.886965927528394, + "grad_norm": 0.9609375, + "learning_rate": 0.00032610608288766185, + "loss": 5.0455, + "mean_token_accuracy": 0.22018371075391768, + "num_tokens": 10150010.0, + "step": 4520 + }, + { + "entropy": 5.507440090179443, + "epoch": 4.8923742563547865, + "grad_norm": 0.93359375, + "learning_rate": 0.00032568828222805216, + "loss": 5.0416, + "mean_token_accuracy": 0.21397803723812103, + "num_tokens": 10161317.0, + "step": 4525 + }, + { + "entropy": 5.520569133758545, + "epoch": 4.897782585181179, + "grad_norm": 1.0390625, + "learning_rate": 0.0003252702973671075, + "loss": 5.0784, + "mean_token_accuracy": 0.22154383063316346, + "num_tokens": 10172681.0, + "step": 4530 + }, + { + "entropy": 5.564612579345703, + "epoch": 4.903190914007571, + "grad_norm": 0.9375, + "learning_rate": 0.00032485212982378615, + "loss": 5.0628, + "mean_token_accuracy": 0.21105246245861053, + "num_tokens": 10184755.0, + "step": 4535 + }, + { + "entropy": 5.513889312744141, + "epoch": 4.908599242833964, + "grad_norm": 1.015625, + "learning_rate": 0.0003244337811177098, + "loss": 5.0479, + "mean_token_accuracy": 0.21932805627584456, + "num_tokens": 10195252.0, + "step": 4540 + }, + { + "entropy": 5.543384790420532, + "epoch": 4.914007571660357, + "grad_norm": 0.97265625, + "learning_rate": 0.0003240152527691586, + "loss": 5.152, + "mean_token_accuracy": 0.1962687239050865, + "num_tokens": 10207660.0, + "step": 4545 + }, + { + "entropy": 5.5311463356018065, + "epoch": 4.91941590048675, + "grad_norm": 0.94140625, + "learning_rate": 0.00032359654629906555, + "loss": 5.0906, + "mean_token_accuracy": 0.21332904547452927, + "num_tokens": 10218154.0, + "step": 4550 + }, + { + "entropy": 5.496583652496338, + "epoch": 4.924824229313142, + "grad_norm": 0.92578125, + "learning_rate": 0.00032317766322901106, + "loss": 5.0363, + "mean_token_accuracy": 0.2050163671374321, + "num_tokens": 10229624.0, + "step": 4555 + }, + { + "entropy": 5.5351176261901855, + "epoch": 4.930232558139535, + "grad_norm": 0.97265625, + "learning_rate": 0.000322758605081217, + "loss": 5.0029, + "mean_token_accuracy": 0.2171091064810753, + "num_tokens": 10240338.0, + "step": 4560 + }, + { + "entropy": 5.489692735671997, + "epoch": 4.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.00032233937337854167, + "loss": 5.0781, + "mean_token_accuracy": 0.21066401302814483, + "num_tokens": 10250721.0, + "step": 4565 + }, + { + "entropy": 5.483132600784302, + "epoch": 4.9410492157923205, + "grad_norm": 0.85546875, + "learning_rate": 0.0003219199696444741, + "loss": 5.1115, + "mean_token_accuracy": 0.20521238595247268, + "num_tokens": 10262596.0, + "step": 4570 + }, + { + "entropy": 5.630878591537476, + "epoch": 4.9464575446187125, + "grad_norm": 0.9375, + "learning_rate": 0.00032150039540312843, + "loss": 5.2161, + "mean_token_accuracy": 0.20218149423599244, + "num_tokens": 10275043.0, + "step": 4575 + }, + { + "entropy": 5.597415924072266, + "epoch": 4.951865873445105, + "grad_norm": 0.86328125, + "learning_rate": 0.00032108065217923836, + "loss": 5.1768, + "mean_token_accuracy": 0.20507008731365203, + "num_tokens": 10286593.0, + "step": 4580 + }, + { + "entropy": 5.684569835662842, + "epoch": 4.957274202271498, + "grad_norm": 0.91796875, + "learning_rate": 0.00032066074149815184, + "loss": 5.1852, + "mean_token_accuracy": 0.20786730647087098, + "num_tokens": 10297459.0, + "step": 4585 + }, + { + "entropy": 5.420581722259522, + "epoch": 4.962682531097891, + "grad_norm": 0.8984375, + "learning_rate": 0.00032024066488582517, + "loss": 4.9087, + "mean_token_accuracy": 0.22307772785425187, + "num_tokens": 10308397.0, + "step": 4590 + }, + { + "entropy": 5.616361284255982, + "epoch": 4.968090859924283, + "grad_norm": 0.9921875, + "learning_rate": 0.0003198204238688178, + "loss": 5.1932, + "mean_token_accuracy": 0.20035981386899948, + "num_tokens": 10319648.0, + "step": 4595 + }, + { + "entropy": 5.652286148071289, + "epoch": 4.973499188750676, + "grad_norm": 0.94140625, + "learning_rate": 0.00031940001997428645, + "loss": 5.1707, + "mean_token_accuracy": 0.2010723575949669, + "num_tokens": 10330922.0, + "step": 4600 + }, + { + "entropy": 5.523626327514648, + "epoch": 4.978907517577069, + "grad_norm": 1.03125, + "learning_rate": 0.00031897945472997996, + "loss": 5.0548, + "mean_token_accuracy": 0.20578106194734574, + "num_tokens": 10341959.0, + "step": 4605 + }, + { + "entropy": 5.5449658870697025, + "epoch": 4.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0003185587296642333, + "loss": 5.1312, + "mean_token_accuracy": 0.21090947985649108, + "num_tokens": 10353125.0, + "step": 4610 + }, + { + "entropy": 5.567223691940308, + "epoch": 4.9897241752298545, + "grad_norm": 1.0546875, + "learning_rate": 0.0003181378463059625, + "loss": 5.155, + "mean_token_accuracy": 0.2045162320137024, + "num_tokens": 10364528.0, + "step": 4615 + }, + { + "entropy": 5.502493953704834, + "epoch": 4.995132504056246, + "grad_norm": 0.8984375, + "learning_rate": 0.0003177168061846584, + "loss": 5.013, + "mean_token_accuracy": 0.21816083341836928, + "num_tokens": 10375252.0, + "step": 4620 + }, + { + "entropy": 5.496442000071208, + "epoch": 5.0, + "grad_norm": 1.84375, + "learning_rate": 0.0003172956108303819, + "loss": 4.9872, + "mean_token_accuracy": 0.216766443517473, + "num_tokens": 10384445.0, + "step": 4625 + }, + { + "entropy": 5.528093242645264, + "epoch": 5.005408328826393, + "grad_norm": 0.88671875, + "learning_rate": 0.0003168742617737579, + "loss": 4.9556, + "mean_token_accuracy": 0.21919166445732116, + "num_tokens": 10396122.0, + "step": 4630 + }, + { + "entropy": 5.603008890151978, + "epoch": 5.010816657652786, + "grad_norm": 0.7890625, + "learning_rate": 0.00031645276054597006, + "loss": 4.9064, + "mean_token_accuracy": 0.2211405813694, + "num_tokens": 10409135.0, + "step": 4635 + }, + { + "entropy": 5.586550092697143, + "epoch": 5.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.00031603110867875435, + "loss": 4.8883, + "mean_token_accuracy": 0.22872422486543656, + "num_tokens": 10421068.0, + "step": 4640 + }, + { + "entropy": 5.501196575164795, + "epoch": 5.0216333153055706, + "grad_norm": 0.953125, + "learning_rate": 0.000315609307704395, + "loss": 4.8529, + "mean_token_accuracy": 0.2281401500105858, + "num_tokens": 10432117.0, + "step": 4645 + }, + { + "entropy": 5.535338020324707, + "epoch": 5.027041644131963, + "grad_norm": 0.8984375, + "learning_rate": 0.0003151873591557176, + "loss": 4.8912, + "mean_token_accuracy": 0.22080296128988267, + "num_tokens": 10443547.0, + "step": 4650 + }, + { + "entropy": 5.5264379501342775, + "epoch": 5.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.00031476526456608415, + "loss": 4.8489, + "mean_token_accuracy": 0.22700522541999818, + "num_tokens": 10455038.0, + "step": 4655 + }, + { + "entropy": 5.550225639343262, + "epoch": 5.037858301784748, + "grad_norm": 0.95703125, + "learning_rate": 0.0003143430254693873, + "loss": 4.9477, + "mean_token_accuracy": 0.21674466133117676, + "num_tokens": 10466682.0, + "step": 4660 + }, + { + "entropy": 5.5271460056304935, + "epoch": 5.043266630611141, + "grad_norm": 1.0078125, + "learning_rate": 0.0003139206434000451, + "loss": 4.9151, + "mean_token_accuracy": 0.22240815162658692, + "num_tokens": 10478575.0, + "step": 4665 + }, + { + "entropy": 5.569495391845703, + "epoch": 5.048674959437534, + "grad_norm": 0.94140625, + "learning_rate": 0.0003134981198929948, + "loss": 4.8959, + "mean_token_accuracy": 0.2266492411494255, + "num_tokens": 10490088.0, + "step": 4670 + }, + { + "entropy": 5.498064756393433, + "epoch": 5.054083288263927, + "grad_norm": 1.0546875, + "learning_rate": 0.00031307545648368777, + "loss": 4.7767, + "mean_token_accuracy": 0.2328466773033142, + "num_tokens": 10499877.0, + "step": 4675 + }, + { + "entropy": 5.46832504272461, + "epoch": 5.059491617090319, + "grad_norm": 0.9765625, + "learning_rate": 0.00031265265470808393, + "loss": 4.7688, + "mean_token_accuracy": 0.23446664959192276, + "num_tokens": 10509830.0, + "step": 4680 + }, + { + "entropy": 5.477397060394287, + "epoch": 5.064899945916712, + "grad_norm": 1.0078125, + "learning_rate": 0.00031222971610264595, + "loss": 4.8014, + "mean_token_accuracy": 0.22999125868082046, + "num_tokens": 10520072.0, + "step": 4685 + }, + { + "entropy": 5.526410722732544, + "epoch": 5.0703082747431045, + "grad_norm": 1.0, + "learning_rate": 0.00031180664220433347, + "loss": 4.9696, + "mean_token_accuracy": 0.22071902453899384, + "num_tokens": 10531260.0, + "step": 4690 + }, + { + "entropy": 5.477414608001709, + "epoch": 5.075716603569497, + "grad_norm": 1.0, + "learning_rate": 0.00031138343455059823, + "loss": 4.8571, + "mean_token_accuracy": 0.22696343213319778, + "num_tokens": 10542971.0, + "step": 4695 + }, + { + "entropy": 5.464529418945313, + "epoch": 5.081124932395889, + "grad_norm": 0.97265625, + "learning_rate": 0.0003109600946793778, + "loss": 4.8392, + "mean_token_accuracy": 0.2284951239824295, + "num_tokens": 10554101.0, + "step": 4700 + }, + { + "entropy": 5.605349922180176, + "epoch": 5.086533261222282, + "grad_norm": 0.94140625, + "learning_rate": 0.00031053662412909024, + "loss": 4.9924, + "mean_token_accuracy": 0.21688981205224991, + "num_tokens": 10565866.0, + "step": 4705 + }, + { + "entropy": 5.453184270858765, + "epoch": 5.091941590048675, + "grad_norm": 0.8671875, + "learning_rate": 0.0003101130244386283, + "loss": 4.8064, + "mean_token_accuracy": 0.23072075247764587, + "num_tokens": 10577276.0, + "step": 4710 + }, + { + "entropy": 5.594261884689331, + "epoch": 5.097349918875068, + "grad_norm": 0.9609375, + "learning_rate": 0.00030968929714735456, + "loss": 5.0054, + "mean_token_accuracy": 0.21874586939811708, + "num_tokens": 10588625.0, + "step": 4715 + }, + { + "entropy": 5.425375604629517, + "epoch": 5.10275824770146, + "grad_norm": 0.96875, + "learning_rate": 0.0003092654437950947, + "loss": 4.8637, + "mean_token_accuracy": 0.22720252275466918, + "num_tokens": 10599833.0, + "step": 4720 + }, + { + "entropy": 5.456516408920288, + "epoch": 5.108166576527853, + "grad_norm": 0.9921875, + "learning_rate": 0.0003088414659221331, + "loss": 4.8677, + "mean_token_accuracy": 0.21797628104686737, + "num_tokens": 10610156.0, + "step": 4725 + }, + { + "entropy": 5.480758142471314, + "epoch": 5.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.000308417365069206, + "loss": 4.8825, + "mean_token_accuracy": 0.22795740216970445, + "num_tokens": 10619839.0, + "step": 4730 + }, + { + "entropy": 5.499576425552368, + "epoch": 5.1189832341806385, + "grad_norm": 0.97265625, + "learning_rate": 0.00030799314277749697, + "loss": 4.8791, + "mean_token_accuracy": 0.22572332620620728, + "num_tokens": 10631671.0, + "step": 4735 + }, + { + "entropy": 5.485957908630371, + "epoch": 5.1243915630070305, + "grad_norm": 1.0, + "learning_rate": 0.00030756880058863085, + "loss": 4.8818, + "mean_token_accuracy": 0.22702433317899703, + "num_tokens": 10642597.0, + "step": 4740 + }, + { + "entropy": 5.547960376739502, + "epoch": 5.129799891833423, + "grad_norm": 1.015625, + "learning_rate": 0.00030714434004466823, + "loss": 4.9414, + "mean_token_accuracy": 0.21335140615701675, + "num_tokens": 10653323.0, + "step": 4745 + }, + { + "entropy": 5.5615216255187985, + "epoch": 5.135208220659816, + "grad_norm": 0.9609375, + "learning_rate": 0.00030671976268809947, + "loss": 4.9737, + "mean_token_accuracy": 0.21917204856872557, + "num_tokens": 10665572.0, + "step": 4750 + }, + { + "entropy": 5.450459241867065, + "epoch": 5.140616549486209, + "grad_norm": 1.09375, + "learning_rate": 0.00030629507006183995, + "loss": 4.8015, + "mean_token_accuracy": 0.22744957357645035, + "num_tokens": 10676686.0, + "step": 4755 + }, + { + "entropy": 5.458092498779297, + "epoch": 5.146024878312601, + "grad_norm": 1.1328125, + "learning_rate": 0.0003058702637092234, + "loss": 4.9562, + "mean_token_accuracy": 0.2186889737844467, + "num_tokens": 10687188.0, + "step": 4760 + }, + { + "entropy": 5.513929224014282, + "epoch": 5.151433207138994, + "grad_norm": 0.95703125, + "learning_rate": 0.00030544534517399724, + "loss": 4.8805, + "mean_token_accuracy": 0.22149462401866912, + "num_tokens": 10698343.0, + "step": 4765 + }, + { + "entropy": 5.509257984161377, + "epoch": 5.156841535965387, + "grad_norm": 0.94921875, + "learning_rate": 0.0003050203160003163, + "loss": 4.8566, + "mean_token_accuracy": 0.2240440934896469, + "num_tokens": 10710732.0, + "step": 4770 + }, + { + "entropy": 5.527531480789184, + "epoch": 5.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.0003045951777327377, + "loss": 4.9337, + "mean_token_accuracy": 0.2243843585252762, + "num_tokens": 10722397.0, + "step": 4775 + }, + { + "entropy": 5.396258449554443, + "epoch": 5.167658193618172, + "grad_norm": 0.96484375, + "learning_rate": 0.0003041699319162148, + "loss": 4.8263, + "mean_token_accuracy": 0.221099328994751, + "num_tokens": 10733714.0, + "step": 4780 + }, + { + "entropy": 5.487423133850098, + "epoch": 5.173066522444564, + "grad_norm": 0.921875, + "learning_rate": 0.00030374458009609193, + "loss": 4.9096, + "mean_token_accuracy": 0.22515179812908173, + "num_tokens": 10745748.0, + "step": 4785 + }, + { + "entropy": 5.6112525939941404, + "epoch": 5.178474851270957, + "grad_norm": 1.015625, + "learning_rate": 0.0003033191238180985, + "loss": 4.9403, + "mean_token_accuracy": 0.2272365614771843, + "num_tokens": 10756094.0, + "step": 4790 + }, + { + "entropy": 5.50868330001831, + "epoch": 5.18388318009735, + "grad_norm": 0.9921875, + "learning_rate": 0.0003028935646283438, + "loss": 4.994, + "mean_token_accuracy": 0.21618228554725646, + "num_tokens": 10768068.0, + "step": 4795 + }, + { + "entropy": 5.4779845714569095, + "epoch": 5.189291508923742, + "grad_norm": 1.03125, + "learning_rate": 0.00030246790407331063, + "loss": 4.8476, + "mean_token_accuracy": 0.2233078360557556, + "num_tokens": 10778917.0, + "step": 4800 + }, + { + "entropy": 5.495712518692017, + "epoch": 5.194699837750135, + "grad_norm": 0.99609375, + "learning_rate": 0.00030204214369985066, + "loss": 4.8669, + "mean_token_accuracy": 0.2277569890022278, + "num_tokens": 10790552.0, + "step": 4805 + }, + { + "entropy": 5.527979612350464, + "epoch": 5.200108166576528, + "grad_norm": 0.94140625, + "learning_rate": 0.00030161628505517797, + "loss": 4.9054, + "mean_token_accuracy": 0.21913376003503798, + "num_tokens": 10803199.0, + "step": 4810 + }, + { + "entropy": 5.44367413520813, + "epoch": 5.205516495402921, + "grad_norm": 0.984375, + "learning_rate": 0.00030119032968686397, + "loss": 4.8415, + "mean_token_accuracy": 0.22889240086078644, + "num_tokens": 10814339.0, + "step": 4815 + }, + { + "entropy": 5.460538148880005, + "epoch": 5.210924824229313, + "grad_norm": 0.9140625, + "learning_rate": 0.00030076427914283127, + "loss": 4.9144, + "mean_token_accuracy": 0.21594512164592744, + "num_tokens": 10825776.0, + "step": 4820 + }, + { + "entropy": 5.530256366729736, + "epoch": 5.2163331530557056, + "grad_norm": 0.99609375, + "learning_rate": 0.00030033813497134864, + "loss": 4.8544, + "mean_token_accuracy": 0.22742793411016465, + "num_tokens": 10837179.0, + "step": 4825 + }, + { + "entropy": 5.434867238998413, + "epoch": 5.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.000299911898721025, + "loss": 4.9009, + "mean_token_accuracy": 0.22611162364482879, + "num_tokens": 10847205.0, + "step": 4830 + }, + { + "entropy": 5.504870128631592, + "epoch": 5.227149810708491, + "grad_norm": 0.859375, + "learning_rate": 0.00029948557194080385, + "loss": 4.8953, + "mean_token_accuracy": 0.2238959863781929, + "num_tokens": 10859895.0, + "step": 4835 + }, + { + "entropy": 5.442061185836792, + "epoch": 5.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.0002990591561799576, + "loss": 4.9241, + "mean_token_accuracy": 0.21286537796258925, + "num_tokens": 10871286.0, + "step": 4840 + }, + { + "entropy": 5.443824434280396, + "epoch": 5.237966468361276, + "grad_norm": 1.03125, + "learning_rate": 0.0002986326529880823, + "loss": 4.756, + "mean_token_accuracy": 0.23349499106407165, + "num_tokens": 10883479.0, + "step": 4845 + }, + { + "entropy": 5.577119398117065, + "epoch": 5.243374797187669, + "grad_norm": 1.125, + "learning_rate": 0.0002982060639150913, + "loss": 4.9296, + "mean_token_accuracy": 0.22659704983234405, + "num_tokens": 10895432.0, + "step": 4850 + }, + { + "entropy": 5.486083078384399, + "epoch": 5.248783126014062, + "grad_norm": 0.953125, + "learning_rate": 0.0002977793905112106, + "loss": 4.9538, + "mean_token_accuracy": 0.22209923714399338, + "num_tokens": 10906891.0, + "step": 4855 + }, + { + "entropy": 5.444073104858399, + "epoch": 5.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00029735263432697183, + "loss": 4.9508, + "mean_token_accuracy": 0.21773838251829147, + "num_tokens": 10917706.0, + "step": 4860 + }, + { + "entropy": 5.456596851348877, + "epoch": 5.259599783666847, + "grad_norm": 0.9609375, + "learning_rate": 0.0002969257969132085, + "loss": 4.9405, + "mean_token_accuracy": 0.2228843316435814, + "num_tokens": 10929325.0, + "step": 4865 + }, + { + "entropy": 5.524547338485718, + "epoch": 5.2650081124932395, + "grad_norm": 1.109375, + "learning_rate": 0.0002964988798210485, + "loss": 4.9319, + "mean_token_accuracy": 0.2103923425078392, + "num_tokens": 10939899.0, + "step": 4870 + }, + { + "entropy": 5.495690202713012, + "epoch": 5.270416441319632, + "grad_norm": 0.9921875, + "learning_rate": 0.0002960718846019095, + "loss": 4.8823, + "mean_token_accuracy": 0.22650152891874314, + "num_tokens": 10949801.0, + "step": 4875 + }, + { + "entropy": 5.351631355285645, + "epoch": 5.275824770146025, + "grad_norm": 1.0078125, + "learning_rate": 0.0002956448128074931, + "loss": 4.7594, + "mean_token_accuracy": 0.2333318457007408, + "num_tokens": 10960191.0, + "step": 4880 + }, + { + "entropy": 5.565910768508911, + "epoch": 5.281233098972417, + "grad_norm": 0.88671875, + "learning_rate": 0.0002952176659897794, + "loss": 5.0229, + "mean_token_accuracy": 0.21818405240774155, + "num_tokens": 10972818.0, + "step": 4885 + }, + { + "entropy": 5.542775964736938, + "epoch": 5.28664142779881, + "grad_norm": 1.015625, + "learning_rate": 0.0002947904457010207, + "loss": 4.9287, + "mean_token_accuracy": 0.21841724514961242, + "num_tokens": 10984320.0, + "step": 4890 + }, + { + "entropy": 5.501249027252197, + "epoch": 5.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0002943631534937366, + "loss": 4.8801, + "mean_token_accuracy": 0.22640899568796158, + "num_tokens": 10995262.0, + "step": 4895 + }, + { + "entropy": 5.385098266601562, + "epoch": 5.297458085451596, + "grad_norm": 0.984375, + "learning_rate": 0.0002939357909207079, + "loss": 4.8709, + "mean_token_accuracy": 0.22468690872192382, + "num_tokens": 11005788.0, + "step": 4900 + }, + { + "entropy": 5.5195540428161625, + "epoch": 5.302866414277988, + "grad_norm": 1.0390625, + "learning_rate": 0.0002935083595349713, + "loss": 4.9028, + "mean_token_accuracy": 0.2290490075945854, + "num_tokens": 11016772.0, + "step": 4905 + }, + { + "entropy": 5.531022310256958, + "epoch": 5.308274743104381, + "grad_norm": 0.92578125, + "learning_rate": 0.00029308086088981335, + "loss": 4.962, + "mean_token_accuracy": 0.22039518356323243, + "num_tokens": 11028917.0, + "step": 4910 + }, + { + "entropy": 5.498329496383667, + "epoch": 5.3136830719307735, + "grad_norm": 1.0546875, + "learning_rate": 0.00029265329653876515, + "loss": 4.9503, + "mean_token_accuracy": 0.21752556413412094, + "num_tokens": 11040500.0, + "step": 4915 + }, + { + "entropy": 5.476529359817505, + "epoch": 5.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.0002922256680355965, + "loss": 4.8668, + "mean_token_accuracy": 0.2250487968325615, + "num_tokens": 11052173.0, + "step": 4920 + }, + { + "entropy": 5.542095422744751, + "epoch": 5.324499729583558, + "grad_norm": 1.109375, + "learning_rate": 0.00029179797693431046, + "loss": 4.8896, + "mean_token_accuracy": 0.22516080290079116, + "num_tokens": 11061917.0, + "step": 4925 + }, + { + "entropy": 5.450285196304321, + "epoch": 5.329908058409951, + "grad_norm": 1.0703125, + "learning_rate": 0.0002913702247891374, + "loss": 4.8752, + "mean_token_accuracy": 0.23229186683893205, + "num_tokens": 11072820.0, + "step": 4930 + }, + { + "entropy": 5.564850187301635, + "epoch": 5.335316387236344, + "grad_norm": 1.0625, + "learning_rate": 0.0002909424131545296, + "loss": 4.9642, + "mean_token_accuracy": 0.22445973008871078, + "num_tokens": 11083140.0, + "step": 4935 + }, + { + "entropy": 5.542190027236939, + "epoch": 5.340724716062737, + "grad_norm": 0.90234375, + "learning_rate": 0.00029051454358515553, + "loss": 4.9289, + "mean_token_accuracy": 0.22055180966854096, + "num_tokens": 11094314.0, + "step": 4940 + }, + { + "entropy": 5.50953254699707, + "epoch": 5.346133044889129, + "grad_norm": 0.92578125, + "learning_rate": 0.00029008661763589436, + "loss": 4.9733, + "mean_token_accuracy": 0.2225899413228035, + "num_tokens": 11106748.0, + "step": 4945 + }, + { + "entropy": 5.510439777374268, + "epoch": 5.351541373715522, + "grad_norm": 0.91796875, + "learning_rate": 0.0002896586368618297, + "loss": 4.9464, + "mean_token_accuracy": 0.22568726241588594, + "num_tokens": 11118702.0, + "step": 4950 + }, + { + "entropy": 5.525369310379029, + "epoch": 5.356949702541915, + "grad_norm": 0.96875, + "learning_rate": 0.00028923060281824483, + "loss": 4.9396, + "mean_token_accuracy": 0.21333917528390883, + "num_tokens": 11130782.0, + "step": 4955 + }, + { + "entropy": 5.4839788436889645, + "epoch": 5.3623580313683075, + "grad_norm": 1.015625, + "learning_rate": 0.0002888025170606165, + "loss": 4.9011, + "mean_token_accuracy": 0.22421319633722306, + "num_tokens": 11142536.0, + "step": 4960 + }, + { + "entropy": 5.483171844482422, + "epoch": 5.367766360194699, + "grad_norm": 1.0, + "learning_rate": 0.00028837438114460924, + "loss": 4.9031, + "mean_token_accuracy": 0.2182278573513031, + "num_tokens": 11154027.0, + "step": 4965 + }, + { + "entropy": 5.48946442604065, + "epoch": 5.373174689021092, + "grad_norm": 1.0625, + "learning_rate": 0.0002879461966260699, + "loss": 4.9259, + "mean_token_accuracy": 0.2160453200340271, + "num_tokens": 11164759.0, + "step": 4970 + }, + { + "entropy": 5.501074504852295, + "epoch": 5.378583017847485, + "grad_norm": 0.953125, + "learning_rate": 0.00028751796506102224, + "loss": 4.9456, + "mean_token_accuracy": 0.22141506671905517, + "num_tokens": 11176341.0, + "step": 4975 + }, + { + "entropy": 5.5393781661987305, + "epoch": 5.383991346673878, + "grad_norm": 0.95703125, + "learning_rate": 0.00028708968800566056, + "loss": 4.906, + "mean_token_accuracy": 0.22104442417621611, + "num_tokens": 11188958.0, + "step": 4980 + }, + { + "entropy": 5.5685571193695065, + "epoch": 5.38939967550027, + "grad_norm": 1.140625, + "learning_rate": 0.00028666136701634474, + "loss": 5.0001, + "mean_token_accuracy": 0.20960879027843476, + "num_tokens": 11200895.0, + "step": 4985 + }, + { + "entropy": 5.529350328445434, + "epoch": 5.394808004326663, + "grad_norm": 0.96875, + "learning_rate": 0.0002862330036495942, + "loss": 4.9108, + "mean_token_accuracy": 0.22896960824728013, + "num_tokens": 11211563.0, + "step": 4990 + }, + { + "entropy": 5.5777318477630615, + "epoch": 5.400216333153056, + "grad_norm": 0.9921875, + "learning_rate": 0.0002858045994620825, + "loss": 5.0099, + "mean_token_accuracy": 0.21429480612277985, + "num_tokens": 11223323.0, + "step": 4995 + }, + { + "entropy": 5.532574558258057, + "epoch": 5.405624661979449, + "grad_norm": 0.9375, + "learning_rate": 0.00028537615601063133, + "loss": 4.9088, + "mean_token_accuracy": 0.2173854023218155, + "num_tokens": 11235991.0, + "step": 5000 + }, + { + "epoch": 5.405624661979449, + "eval_entropy": 5.359868227351796, + "eval_loss": 5.847285270690918, + "eval_mean_token_accuracy": 0.18075780379162593, + "eval_num_tokens": 11235991.0, + "eval_runtime": 3.5358, + "eval_samples_per_second": 994.104, + "eval_steps_per_second": 124.44, + "step": 5000 + }, + { + "entropy": 5.455257225036621, + "epoch": 5.411032990805841, + "grad_norm": 0.9609375, + "learning_rate": 0.0002849476748522052, + "loss": 4.8879, + "mean_token_accuracy": 0.22323424369096756, + "num_tokens": 11247406.0, + "step": 5005 + }, + { + "entropy": 5.3663108348846436, + "epoch": 5.416441319632233, + "grad_norm": 0.89453125, + "learning_rate": 0.0002845191575439057, + "loss": 4.8489, + "mean_token_accuracy": 0.22015611827373505, + "num_tokens": 11259031.0, + "step": 5010 + }, + { + "entropy": 5.463020086288452, + "epoch": 5.421849648458626, + "grad_norm": 0.9609375, + "learning_rate": 0.0002840906056429658, + "loss": 4.9252, + "mean_token_accuracy": 0.2181644394993782, + "num_tokens": 11270321.0, + "step": 5015 + }, + { + "entropy": 5.51222939491272, + "epoch": 5.427257977285019, + "grad_norm": 1.0703125, + "learning_rate": 0.0002836620207067439, + "loss": 5.0229, + "mean_token_accuracy": 0.2076768919825554, + "num_tokens": 11282209.0, + "step": 5020 + }, + { + "entropy": 5.5796140193939205, + "epoch": 5.432666306111411, + "grad_norm": 1.1171875, + "learning_rate": 0.00028323340429271875, + "loss": 4.9472, + "mean_token_accuracy": 0.21594048887491227, + "num_tokens": 11292987.0, + "step": 5025 + }, + { + "entropy": 5.507422924041748, + "epoch": 5.438074634937804, + "grad_norm": 1.0390625, + "learning_rate": 0.0002828047579584833, + "loss": 4.9016, + "mean_token_accuracy": 0.22376736998558044, + "num_tokens": 11303197.0, + "step": 5030 + }, + { + "entropy": 5.413560152053833, + "epoch": 5.443482963764197, + "grad_norm": 0.98828125, + "learning_rate": 0.00028237608326173944, + "loss": 4.8308, + "mean_token_accuracy": 0.23067670911550522, + "num_tokens": 11315229.0, + "step": 5035 + }, + { + "entropy": 5.44630651473999, + "epoch": 5.44889129259059, + "grad_norm": 1.078125, + "learning_rate": 0.00028194738176029206, + "loss": 4.9124, + "mean_token_accuracy": 0.2220005840063095, + "num_tokens": 11326033.0, + "step": 5040 + }, + { + "entropy": 5.43988265991211, + "epoch": 5.4542996214169825, + "grad_norm": 1.0078125, + "learning_rate": 0.00028151865501204316, + "loss": 4.9213, + "mean_token_accuracy": 0.21385481357574462, + "num_tokens": 11335670.0, + "step": 5045 + }, + { + "entropy": 5.48417558670044, + "epoch": 5.4597079502433745, + "grad_norm": 0.91015625, + "learning_rate": 0.00028108990457498696, + "loss": 4.8722, + "mean_token_accuracy": 0.2302040845155716, + "num_tokens": 11346882.0, + "step": 5050 + }, + { + "entropy": 5.480646085739136, + "epoch": 5.465116279069767, + "grad_norm": 1.015625, + "learning_rate": 0.00028066113200720343, + "loss": 4.8288, + "mean_token_accuracy": 0.22758808583021164, + "num_tokens": 11358141.0, + "step": 5055 + }, + { + "entropy": 5.407720994949341, + "epoch": 5.47052460789616, + "grad_norm": 0.984375, + "learning_rate": 0.00028023233886685314, + "loss": 4.8753, + "mean_token_accuracy": 0.22024642527103425, + "num_tokens": 11368981.0, + "step": 5060 + }, + { + "entropy": 5.502127361297608, + "epoch": 5.475932936722553, + "grad_norm": 1.0234375, + "learning_rate": 0.0002798035267121713, + "loss": 5.0012, + "mean_token_accuracy": 0.21348655074834824, + "num_tokens": 11381613.0, + "step": 5065 + }, + { + "entropy": 5.569995927810669, + "epoch": 5.481341265548945, + "grad_norm": 1.046875, + "learning_rate": 0.0002793746971014623, + "loss": 4.9372, + "mean_token_accuracy": 0.22158569246530532, + "num_tokens": 11392321.0, + "step": 5070 + }, + { + "entropy": 5.4565346240997314, + "epoch": 5.486749594375338, + "grad_norm": 1.078125, + "learning_rate": 0.0002789458515930939, + "loss": 4.9292, + "mean_token_accuracy": 0.2208003059029579, + "num_tokens": 11403546.0, + "step": 5075 + }, + { + "entropy": 5.454629850387573, + "epoch": 5.492157923201731, + "grad_norm": 0.98046875, + "learning_rate": 0.00027851699174549164, + "loss": 4.8671, + "mean_token_accuracy": 0.22627684772014617, + "num_tokens": 11415167.0, + "step": 5080 + }, + { + "entropy": 5.518552207946778, + "epoch": 5.497566252028124, + "grad_norm": 1.0234375, + "learning_rate": 0.0002780881191171333, + "loss": 4.8769, + "mean_token_accuracy": 0.22364618480205536, + "num_tokens": 11426715.0, + "step": 5085 + }, + { + "entropy": 5.49597282409668, + "epoch": 5.502974580854516, + "grad_norm": 1.0078125, + "learning_rate": 0.00027765923526654304, + "loss": 4.8677, + "mean_token_accuracy": 0.22670321613550187, + "num_tokens": 11437760.0, + "step": 5090 + }, + { + "entropy": 5.492688322067261, + "epoch": 5.5083829096809085, + "grad_norm": 0.9765625, + "learning_rate": 0.00027723034175228554, + "loss": 4.9421, + "mean_token_accuracy": 0.22019703984260558, + "num_tokens": 11448329.0, + "step": 5095 + }, + { + "entropy": 5.431415700912476, + "epoch": 5.513791238507301, + "grad_norm": 1.046875, + "learning_rate": 0.000276801440132961, + "loss": 4.7698, + "mean_token_accuracy": 0.234079709649086, + "num_tokens": 11459173.0, + "step": 5100 + }, + { + "entropy": 5.4285736083984375, + "epoch": 5.519199567333694, + "grad_norm": 0.9921875, + "learning_rate": 0.0002763725319671989, + "loss": 4.8748, + "mean_token_accuracy": 0.22336506843566895, + "num_tokens": 11470232.0, + "step": 5105 + }, + { + "entropy": 5.375560235977173, + "epoch": 5.524607896160086, + "grad_norm": 1.0234375, + "learning_rate": 0.0002759436188136525, + "loss": 4.8556, + "mean_token_accuracy": 0.22446597516536712, + "num_tokens": 11481181.0, + "step": 5110 + }, + { + "entropy": 5.518925189971924, + "epoch": 5.530016224986479, + "grad_norm": 1.0, + "learning_rate": 0.00027551470223099306, + "loss": 4.9085, + "mean_token_accuracy": 0.2181531310081482, + "num_tokens": 11491772.0, + "step": 5115 + }, + { + "entropy": 5.5260766506195065, + "epoch": 5.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0002750857837779045, + "loss": 4.8638, + "mean_token_accuracy": 0.22381193935871124, + "num_tokens": 11503895.0, + "step": 5120 + }, + { + "entropy": 5.480987071990967, + "epoch": 5.540832882639265, + "grad_norm": 1.0390625, + "learning_rate": 0.0002746568650130775, + "loss": 4.889, + "mean_token_accuracy": 0.22760302275419236, + "num_tokens": 11514189.0, + "step": 5125 + }, + { + "entropy": 5.37455005645752, + "epoch": 5.546241211465657, + "grad_norm": 0.95703125, + "learning_rate": 0.0002742279474952039, + "loss": 4.9044, + "mean_token_accuracy": 0.22398550659418107, + "num_tokens": 11526142.0, + "step": 5130 + }, + { + "entropy": 5.507328224182129, + "epoch": 5.55164954029205, + "grad_norm": 1.0234375, + "learning_rate": 0.00027379903278297086, + "loss": 4.9312, + "mean_token_accuracy": 0.21721230298280716, + "num_tokens": 11537061.0, + "step": 5135 + }, + { + "entropy": 5.530687284469605, + "epoch": 5.5570578691184425, + "grad_norm": 1.0234375, + "learning_rate": 0.00027337012243505536, + "loss": 5.0297, + "mean_token_accuracy": 0.20581408888101577, + "num_tokens": 11547319.0, + "step": 5140 + }, + { + "entropy": 5.504242658615112, + "epoch": 5.562466197944835, + "grad_norm": 0.98828125, + "learning_rate": 0.00027294121801011887, + "loss": 4.9418, + "mean_token_accuracy": 0.22116187661886216, + "num_tokens": 11558766.0, + "step": 5145 + }, + { + "entropy": 5.4529502391815186, + "epoch": 5.567874526771227, + "grad_norm": 1.0, + "learning_rate": 0.00027251232106680084, + "loss": 4.8547, + "mean_token_accuracy": 0.2266584575176239, + "num_tokens": 11570039.0, + "step": 5150 + }, + { + "entropy": 5.399138593673706, + "epoch": 5.57328285559762, + "grad_norm": 1.0078125, + "learning_rate": 0.00027208343316371383, + "loss": 4.8922, + "mean_token_accuracy": 0.2278255820274353, + "num_tokens": 11581664.0, + "step": 5155 + }, + { + "entropy": 5.466609287261963, + "epoch": 5.578691184424013, + "grad_norm": 0.9296875, + "learning_rate": 0.0002716545558594373, + "loss": 4.9241, + "mean_token_accuracy": 0.2118991419672966, + "num_tokens": 11592689.0, + "step": 5160 + }, + { + "entropy": 5.508473634719849, + "epoch": 5.584099513250406, + "grad_norm": 0.99609375, + "learning_rate": 0.0002712256907125126, + "loss": 4.8443, + "mean_token_accuracy": 0.2241092950105667, + "num_tokens": 11604315.0, + "step": 5165 + }, + { + "entropy": 5.543499088287353, + "epoch": 5.589507842076799, + "grad_norm": 1.0703125, + "learning_rate": 0.0002707968392814366, + "loss": 4.9643, + "mean_token_accuracy": 0.22009238004684448, + "num_tokens": 11614510.0, + "step": 5170 + }, + { + "entropy": 5.469890308380127, + "epoch": 5.594916170903191, + "grad_norm": 0.97265625, + "learning_rate": 0.00027036800312465635, + "loss": 4.8773, + "mean_token_accuracy": 0.22867128401994705, + "num_tokens": 11625501.0, + "step": 5175 + }, + { + "entropy": 5.535786056518555, + "epoch": 5.600324499729584, + "grad_norm": 1.0546875, + "learning_rate": 0.0002699391838005634, + "loss": 4.9374, + "mean_token_accuracy": 0.22422817051410676, + "num_tokens": 11636841.0, + "step": 5180 + }, + { + "entropy": 5.418750333786011, + "epoch": 5.605732828555976, + "grad_norm": 1.0859375, + "learning_rate": 0.00026951038286748824, + "loss": 4.8465, + "mean_token_accuracy": 0.2297739565372467, + "num_tokens": 11647475.0, + "step": 5185 + }, + { + "entropy": 5.530784225463867, + "epoch": 5.611141157382368, + "grad_norm": 0.96875, + "learning_rate": 0.0002690816018836945, + "loss": 4.9507, + "mean_token_accuracy": 0.2173537626862526, + "num_tokens": 11658887.0, + "step": 5190 + }, + { + "entropy": 5.471008729934693, + "epoch": 5.616549486208761, + "grad_norm": 1.0, + "learning_rate": 0.0002686528424073731, + "loss": 5.0088, + "mean_token_accuracy": 0.21145847886800767, + "num_tokens": 11669658.0, + "step": 5195 + }, + { + "entropy": 5.535061264038086, + "epoch": 5.621957815035154, + "grad_norm": 0.953125, + "learning_rate": 0.00026822410599663704, + "loss": 4.9716, + "mean_token_accuracy": 0.21699988692998887, + "num_tokens": 11681792.0, + "step": 5200 + }, + { + "entropy": 5.509040117263794, + "epoch": 5.627366143861547, + "grad_norm": 1.078125, + "learning_rate": 0.00026779539420951554, + "loss": 4.9293, + "mean_token_accuracy": 0.21873082220554352, + "num_tokens": 11691903.0, + "step": 5205 + }, + { + "entropy": 5.532304048538208, + "epoch": 5.63277447268794, + "grad_norm": 1.0390625, + "learning_rate": 0.0002673667086039481, + "loss": 4.9355, + "mean_token_accuracy": 0.22825905084609985, + "num_tokens": 11703383.0, + "step": 5210 + }, + { + "entropy": 5.5031740188598635, + "epoch": 5.638182801514332, + "grad_norm": 1.03125, + "learning_rate": 0.0002669380507377792, + "loss": 4.9336, + "mean_token_accuracy": 0.22372952252626419, + "num_tokens": 11714721.0, + "step": 5215 + }, + { + "entropy": 5.449891853332519, + "epoch": 5.643591130340725, + "grad_norm": 1.0234375, + "learning_rate": 0.0002665094221687525, + "loss": 4.935, + "mean_token_accuracy": 0.21551574170589446, + "num_tokens": 11726016.0, + "step": 5220 + }, + { + "entropy": 5.413540506362915, + "epoch": 5.6489994591671175, + "grad_norm": 1.0234375, + "learning_rate": 0.0002660808244545054, + "loss": 4.7575, + "mean_token_accuracy": 0.23251993656158448, + "num_tokens": 11737589.0, + "step": 5225 + }, + { + "entropy": 5.4685218811035154, + "epoch": 5.6544077879935095, + "grad_norm": 0.91796875, + "learning_rate": 0.00026565225915256276, + "loss": 4.8658, + "mean_token_accuracy": 0.22948329597711564, + "num_tokens": 11747969.0, + "step": 5230 + }, + { + "entropy": 5.443226861953735, + "epoch": 5.659816116819902, + "grad_norm": 1.0625, + "learning_rate": 0.000265223727820332, + "loss": 4.836, + "mean_token_accuracy": 0.22504404336214065, + "num_tokens": 11759535.0, + "step": 5235 + }, + { + "entropy": 5.523590898513794, + "epoch": 5.665224445646295, + "grad_norm": 1.0390625, + "learning_rate": 0.0002647952320150969, + "loss": 4.9775, + "mean_token_accuracy": 0.21442292630672455, + "num_tokens": 11770863.0, + "step": 5240 + }, + { + "entropy": 5.485964727401734, + "epoch": 5.670632774472688, + "grad_norm": 1.015625, + "learning_rate": 0.0002643667732940122, + "loss": 4.9001, + "mean_token_accuracy": 0.216877081990242, + "num_tokens": 11782643.0, + "step": 5245 + }, + { + "entropy": 5.467176008224487, + "epoch": 5.676041103299081, + "grad_norm": 0.94921875, + "learning_rate": 0.00026393835321409796, + "loss": 4.933, + "mean_token_accuracy": 0.22458599954843522, + "num_tokens": 11794468.0, + "step": 5250 + }, + { + "entropy": 5.514464282989502, + "epoch": 5.681449432125473, + "grad_norm": 0.99609375, + "learning_rate": 0.00026350997333223375, + "loss": 4.8836, + "mean_token_accuracy": 0.23128425031900407, + "num_tokens": 11807051.0, + "step": 5255 + }, + { + "entropy": 5.432554149627686, + "epoch": 5.686857760951866, + "grad_norm": 1.046875, + "learning_rate": 0.00026308163520515293, + "loss": 4.9193, + "mean_token_accuracy": 0.21702346503734588, + "num_tokens": 11817067.0, + "step": 5260 + }, + { + "entropy": 5.428543901443481, + "epoch": 5.692266089778259, + "grad_norm": 0.9375, + "learning_rate": 0.00026265334038943735, + "loss": 4.919, + "mean_token_accuracy": 0.22408238500356675, + "num_tokens": 11828111.0, + "step": 5265 + }, + { + "entropy": 5.502649211883545, + "epoch": 5.6976744186046515, + "grad_norm": 0.98828125, + "learning_rate": 0.0002622250904415113, + "loss": 4.8822, + "mean_token_accuracy": 0.2273074984550476, + "num_tokens": 11838536.0, + "step": 5270 + }, + { + "entropy": 5.53525743484497, + "epoch": 5.7030827474310435, + "grad_norm": 1.0234375, + "learning_rate": 0.0002617968869176362, + "loss": 4.9228, + "mean_token_accuracy": 0.22227408438920976, + "num_tokens": 11848899.0, + "step": 5275 + }, + { + "entropy": 5.473860883712769, + "epoch": 5.708491076257436, + "grad_norm": 0.98046875, + "learning_rate": 0.0002613687313739044, + "loss": 4.9651, + "mean_token_accuracy": 0.22359169721603395, + "num_tokens": 11861023.0, + "step": 5280 + }, + { + "entropy": 5.43254508972168, + "epoch": 5.713899405083829, + "grad_norm": 1.015625, + "learning_rate": 0.0002609406253662344, + "loss": 4.9318, + "mean_token_accuracy": 0.21903841942548752, + "num_tokens": 11871953.0, + "step": 5285 + }, + { + "entropy": 5.501645612716675, + "epoch": 5.719307733910222, + "grad_norm": 1.1171875, + "learning_rate": 0.0002605125704503643, + "loss": 4.9505, + "mean_token_accuracy": 0.2237919017672539, + "num_tokens": 11882874.0, + "step": 5290 + }, + { + "entropy": 5.58112268447876, + "epoch": 5.724716062736614, + "grad_norm": 0.95703125, + "learning_rate": 0.0002600845681818467, + "loss": 4.8646, + "mean_token_accuracy": 0.22650408893823623, + "num_tokens": 11893431.0, + "step": 5295 + }, + { + "entropy": 5.454003143310547, + "epoch": 5.730124391563007, + "grad_norm": 0.9296875, + "learning_rate": 0.0002596566201160427, + "loss": 4.8851, + "mean_token_accuracy": 0.22219976037740707, + "num_tokens": 11905311.0, + "step": 5300 + }, + { + "entropy": 5.404032039642334, + "epoch": 5.7355327203894, + "grad_norm": 1.0078125, + "learning_rate": 0.00025922872780811664, + "loss": 4.9546, + "mean_token_accuracy": 0.21621623486280442, + "num_tokens": 11916342.0, + "step": 5305 + }, + { + "entropy": 5.492973470687867, + "epoch": 5.740941049215793, + "grad_norm": 1.046875, + "learning_rate": 0.00025880089281303027, + "loss": 4.9193, + "mean_token_accuracy": 0.21626884043216704, + "num_tokens": 11927485.0, + "step": 5310 + }, + { + "entropy": 5.476612329483032, + "epoch": 5.746349378042185, + "grad_norm": 1.015625, + "learning_rate": 0.00025837311668553683, + "loss": 4.8302, + "mean_token_accuracy": 0.2276885449886322, + "num_tokens": 11937968.0, + "step": 5315 + }, + { + "entropy": 5.44808611869812, + "epoch": 5.7517577068685775, + "grad_norm": 1.09375, + "learning_rate": 0.0002579454009801757, + "loss": 4.7927, + "mean_token_accuracy": 0.23528771847486496, + "num_tokens": 11947510.0, + "step": 5320 + }, + { + "entropy": 5.477059698104858, + "epoch": 5.75716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.0002575177472512669, + "loss": 4.9526, + "mean_token_accuracy": 0.2218560740351677, + "num_tokens": 11960002.0, + "step": 5325 + }, + { + "entropy": 5.444899559020996, + "epoch": 5.762574364521363, + "grad_norm": 0.9921875, + "learning_rate": 0.000257090157052905, + "loss": 4.8705, + "mean_token_accuracy": 0.21838984936475753, + "num_tokens": 11970895.0, + "step": 5330 + }, + { + "entropy": 5.459397077560425, + "epoch": 5.767982693347756, + "grad_norm": 1.015625, + "learning_rate": 0.00025666263193895375, + "loss": 4.888, + "mean_token_accuracy": 0.21968889981508255, + "num_tokens": 11982910.0, + "step": 5335 + }, + { + "entropy": 5.511087703704834, + "epoch": 5.773391022174148, + "grad_norm": 1.0546875, + "learning_rate": 0.00025623517346304027, + "loss": 4.9507, + "mean_token_accuracy": 0.21630610823631286, + "num_tokens": 11994066.0, + "step": 5340 + }, + { + "entropy": 5.47811861038208, + "epoch": 5.778799351000541, + "grad_norm": 0.96484375, + "learning_rate": 0.00025580778317855, + "loss": 4.8659, + "mean_token_accuracy": 0.22627412974834443, + "num_tokens": 12004821.0, + "step": 5345 + }, + { + "entropy": 5.475780200958252, + "epoch": 5.784207679826934, + "grad_norm": 1.0859375, + "learning_rate": 0.0002553804626386199, + "loss": 4.9451, + "mean_token_accuracy": 0.2223440647125244, + "num_tokens": 12014973.0, + "step": 5350 + }, + { + "entropy": 5.551906108856201, + "epoch": 5.789616008653326, + "grad_norm": 0.9453125, + "learning_rate": 0.0002549532133961339, + "loss": 5.0273, + "mean_token_accuracy": 0.2145695760846138, + "num_tokens": 12026528.0, + "step": 5355 + }, + { + "entropy": 5.607546472549439, + "epoch": 5.795024337479719, + "grad_norm": 1.0625, + "learning_rate": 0.00025452603700371675, + "loss": 5.0506, + "mean_token_accuracy": 0.21419217735528945, + "num_tokens": 12038733.0, + "step": 5360 + }, + { + "entropy": 5.5201372623443605, + "epoch": 5.800432666306111, + "grad_norm": 1.015625, + "learning_rate": 0.0002540989350137285, + "loss": 4.9722, + "mean_token_accuracy": 0.21627445071935653, + "num_tokens": 12049821.0, + "step": 5365 + }, + { + "entropy": 5.565732765197754, + "epoch": 5.805840995132504, + "grad_norm": 0.99609375, + "learning_rate": 0.00025367190897825873, + "loss": 4.9698, + "mean_token_accuracy": 0.21938712447881697, + "num_tokens": 12060982.0, + "step": 5370 + }, + { + "entropy": 5.489997673034668, + "epoch": 5.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 0.0002532449604491209, + "loss": 4.8542, + "mean_token_accuracy": 0.2305293619632721, + "num_tokens": 12070842.0, + "step": 5375 + }, + { + "entropy": 5.4013769149780275, + "epoch": 5.816657652785289, + "grad_norm": 1.0859375, + "learning_rate": 0.0002528180909778471, + "loss": 4.8389, + "mean_token_accuracy": 0.2326238349080086, + "num_tokens": 12080992.0, + "step": 5380 + }, + { + "entropy": 5.480729961395264, + "epoch": 5.822065981611682, + "grad_norm": 1.046875, + "learning_rate": 0.00025239130211568206, + "loss": 4.9151, + "mean_token_accuracy": 0.22242391854524612, + "num_tokens": 12091905.0, + "step": 5385 + }, + { + "entropy": 5.520739364624023, + "epoch": 5.827474310438075, + "grad_norm": 0.98828125, + "learning_rate": 0.00025196459541357725, + "loss": 4.817, + "mean_token_accuracy": 0.22727247029542924, + "num_tokens": 12101577.0, + "step": 5390 + }, + { + "entropy": 5.555675268173218, + "epoch": 5.832882639264467, + "grad_norm": 1.078125, + "learning_rate": 0.00025153797242218604, + "loss": 5.017, + "mean_token_accuracy": 0.21263125836849212, + "num_tokens": 12112593.0, + "step": 5395 + }, + { + "entropy": 5.465591239929199, + "epoch": 5.83829096809086, + "grad_norm": 1.0625, + "learning_rate": 0.00025111143469185715, + "loss": 4.8337, + "mean_token_accuracy": 0.22807640731334686, + "num_tokens": 12122947.0, + "step": 5400 + }, + { + "entropy": 5.38767294883728, + "epoch": 5.8436992969172525, + "grad_norm": 1.03125, + "learning_rate": 0.0002506849837726299, + "loss": 4.7973, + "mean_token_accuracy": 0.23990508764982224, + "num_tokens": 12133557.0, + "step": 5405 + }, + { + "entropy": 5.5033042430877686, + "epoch": 5.849107625743645, + "grad_norm": 0.9921875, + "learning_rate": 0.0002502586212142278, + "loss": 4.9525, + "mean_token_accuracy": 0.21751385182142258, + "num_tokens": 12144735.0, + "step": 5410 + }, + { + "entropy": 5.468432903289795, + "epoch": 5.854515954570038, + "grad_norm": 1.03125, + "learning_rate": 0.00024983234856605337, + "loss": 4.9072, + "mean_token_accuracy": 0.22422076314687728, + "num_tokens": 12155786.0, + "step": 5415 + }, + { + "entropy": 5.499530363082886, + "epoch": 5.85992428339643, + "grad_norm": 0.84375, + "learning_rate": 0.00024940616737718235, + "loss": 5.0033, + "mean_token_accuracy": 0.21500488370656967, + "num_tokens": 12168846.0, + "step": 5420 + }, + { + "entropy": 5.475531673431396, + "epoch": 5.865332612222823, + "grad_norm": 0.98828125, + "learning_rate": 0.0002489800791963583, + "loss": 4.8433, + "mean_token_accuracy": 0.21648556888103485, + "num_tokens": 12179743.0, + "step": 5425 + }, + { + "entropy": 5.5550652027130125, + "epoch": 5.870740941049216, + "grad_norm": 1.0546875, + "learning_rate": 0.00024855408557198657, + "loss": 4.9396, + "mean_token_accuracy": 0.2263997510075569, + "num_tokens": 12190754.0, + "step": 5430 + }, + { + "entropy": 5.522177076339721, + "epoch": 5.876149269875609, + "grad_norm": 1.0234375, + "learning_rate": 0.000248128188052129, + "loss": 4.926, + "mean_token_accuracy": 0.2201258659362793, + "num_tokens": 12201293.0, + "step": 5435 + }, + { + "entropy": 5.500701284408569, + "epoch": 5.881557598702001, + "grad_norm": 0.87890625, + "learning_rate": 0.00024770238818449804, + "loss": 4.9843, + "mean_token_accuracy": 0.22035838961601256, + "num_tokens": 12214361.0, + "step": 5440 + }, + { + "entropy": 5.56159987449646, + "epoch": 5.886965927528394, + "grad_norm": 1.0546875, + "learning_rate": 0.00024727668751645164, + "loss": 5.0753, + "mean_token_accuracy": 0.20683244466781617, + "num_tokens": 12226766.0, + "step": 5445 + }, + { + "entropy": 5.542806959152221, + "epoch": 5.8923742563547865, + "grad_norm": 1.1640625, + "learning_rate": 0.0002468510875949868, + "loss": 4.9784, + "mean_token_accuracy": 0.22004477828741073, + "num_tokens": 12237339.0, + "step": 5450 + }, + { + "entropy": 5.454771566390991, + "epoch": 5.897782585181179, + "grad_norm": 0.95703125, + "learning_rate": 0.00024642558996673474, + "loss": 4.8806, + "mean_token_accuracy": 0.233289235830307, + "num_tokens": 12248567.0, + "step": 5455 + }, + { + "entropy": 5.475730228424072, + "epoch": 5.903190914007571, + "grad_norm": 1.0546875, + "learning_rate": 0.00024600019617795465, + "loss": 4.8715, + "mean_token_accuracy": 0.22850371301174163, + "num_tokens": 12258968.0, + "step": 5460 + }, + { + "entropy": 5.529723405838013, + "epoch": 5.908599242833964, + "grad_norm": 0.94140625, + "learning_rate": 0.0002455749077745288, + "loss": 4.9315, + "mean_token_accuracy": 0.22943497598171234, + "num_tokens": 12271233.0, + "step": 5465 + }, + { + "entropy": 5.481137132644653, + "epoch": 5.914007571660357, + "grad_norm": 1.03125, + "learning_rate": 0.00024514972630195603, + "loss": 4.894, + "mean_token_accuracy": 0.21706456691026688, + "num_tokens": 12280634.0, + "step": 5470 + }, + { + "entropy": 5.46374282836914, + "epoch": 5.91941590048675, + "grad_norm": 0.9765625, + "learning_rate": 0.0002447246533053469, + "loss": 4.9344, + "mean_token_accuracy": 0.2250108987092972, + "num_tokens": 12292282.0, + "step": 5475 + }, + { + "entropy": 5.479931974411011, + "epoch": 5.924824229313142, + "grad_norm": 1.0703125, + "learning_rate": 0.00024429969032941756, + "loss": 4.9556, + "mean_token_accuracy": 0.2212103560566902, + "num_tokens": 12303940.0, + "step": 5480 + }, + { + "entropy": 5.509561538696289, + "epoch": 5.930232558139535, + "grad_norm": 1.1171875, + "learning_rate": 0.00024387483891848456, + "loss": 4.9408, + "mean_token_accuracy": 0.2256838709115982, + "num_tokens": 12315400.0, + "step": 5485 + }, + { + "entropy": 5.5094701766967775, + "epoch": 5.935640886965928, + "grad_norm": 0.91796875, + "learning_rate": 0.00024345010061645889, + "loss": 4.9519, + "mean_token_accuracy": 0.21615981161594391, + "num_tokens": 12327462.0, + "step": 5490 + }, + { + "entropy": 5.516644716262817, + "epoch": 5.9410492157923205, + "grad_norm": 0.9296875, + "learning_rate": 0.00024302547696684047, + "loss": 4.9017, + "mean_token_accuracy": 0.22320225536823274, + "num_tokens": 12338966.0, + "step": 5495 + }, + { + "entropy": 5.397993087768555, + "epoch": 5.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00024260096951271253, + "loss": 4.8006, + "mean_token_accuracy": 0.228230282664299, + "num_tokens": 12349663.0, + "step": 5500 + }, + { + "epoch": 5.9464575446187125, + "eval_entropy": 5.341046702861786, + "eval_loss": 5.824895858764648, + "eval_mean_token_accuracy": 0.18257011164995757, + "eval_num_tokens": 12349663.0, + "eval_runtime": 3.5324, + "eval_samples_per_second": 995.086, + "eval_steps_per_second": 124.563, + "step": 5500 + }, + { + "entropy": 5.416959285736084, + "epoch": 5.951865873445105, + "grad_norm": 0.890625, + "learning_rate": 0.00024217657979673634, + "loss": 4.8534, + "mean_token_accuracy": 0.22373966872692108, + "num_tokens": 12361304.0, + "step": 5505 + }, + { + "entropy": 5.374241685867309, + "epoch": 5.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.00024175230936114507, + "loss": 4.8172, + "mean_token_accuracy": 0.23078879565000535, + "num_tokens": 12372162.0, + "step": 5510 + }, + { + "entropy": 5.468687248229981, + "epoch": 5.962682531097891, + "grad_norm": 0.91015625, + "learning_rate": 0.0002413281597477384, + "loss": 4.8529, + "mean_token_accuracy": 0.22456154525279998, + "num_tokens": 12383916.0, + "step": 5515 + }, + { + "entropy": 5.549963569641113, + "epoch": 5.968090859924283, + "grad_norm": 1.0859375, + "learning_rate": 0.00024090413249787696, + "loss": 4.9632, + "mean_token_accuracy": 0.21773760467767717, + "num_tokens": 12394787.0, + "step": 5520 + }, + { + "entropy": 5.505368185043335, + "epoch": 5.973499188750676, + "grad_norm": 0.99609375, + "learning_rate": 0.0002404802291524768, + "loss": 4.8776, + "mean_token_accuracy": 0.23071094900369643, + "num_tokens": 12405905.0, + "step": 5525 + }, + { + "entropy": 5.4695710182189945, + "epoch": 5.978907517577069, + "grad_norm": 0.9140625, + "learning_rate": 0.00024005645125200375, + "loss": 4.9449, + "mean_token_accuracy": 0.2118888556957245, + "num_tokens": 12416785.0, + "step": 5530 + }, + { + "entropy": 5.4431023597717285, + "epoch": 5.984315846403462, + "grad_norm": 0.96484375, + "learning_rate": 0.0002396328003364675, + "loss": 4.8562, + "mean_token_accuracy": 0.22554307878017427, + "num_tokens": 12427900.0, + "step": 5535 + }, + { + "entropy": 5.566122770309448, + "epoch": 5.9897241752298545, + "grad_norm": 0.9765625, + "learning_rate": 0.00023920927794541665, + "loss": 4.9858, + "mean_token_accuracy": 0.22574359327554702, + "num_tokens": 12439823.0, + "step": 5540 + }, + { + "entropy": 5.481858730316162, + "epoch": 5.995132504056246, + "grad_norm": 0.97265625, + "learning_rate": 0.0002387858856179324, + "loss": 4.9084, + "mean_token_accuracy": 0.21990197598934175, + "num_tokens": 12450988.0, + "step": 5545 + }, + { + "entropy": 5.593845897250706, + "epoch": 6.0, + "grad_norm": 1.59375, + "learning_rate": 0.00023836262489262361, + "loss": 4.9818, + "mean_token_accuracy": 0.2241312480635113, + "num_tokens": 12461334.0, + "step": 5550 + }, + { + "entropy": 5.482817697525024, + "epoch": 6.005408328826393, + "grad_norm": 1.0234375, + "learning_rate": 0.00023793949730762049, + "loss": 4.711, + "mean_token_accuracy": 0.23801302611827851, + "num_tokens": 12473206.0, + "step": 5555 + }, + { + "entropy": 5.48074688911438, + "epoch": 6.010816657652786, + "grad_norm": 0.96484375, + "learning_rate": 0.00023751650440056982, + "loss": 4.8304, + "mean_token_accuracy": 0.22817761451005936, + "num_tokens": 12484247.0, + "step": 5560 + }, + { + "entropy": 5.4692436218261715, + "epoch": 6.016224986479178, + "grad_norm": 1.015625, + "learning_rate": 0.00023709364770862885, + "loss": 4.7426, + "mean_token_accuracy": 0.23947408199310302, + "num_tokens": 12495234.0, + "step": 5565 + }, + { + "entropy": 5.456657409667969, + "epoch": 6.0216333153055706, + "grad_norm": 1.1015625, + "learning_rate": 0.00023667092876845976, + "loss": 4.855, + "mean_token_accuracy": 0.2362171694636345, + "num_tokens": 12506516.0, + "step": 5570 + }, + { + "entropy": 5.474831008911133, + "epoch": 6.027041644131963, + "grad_norm": 1.046875, + "learning_rate": 0.0002362483491162239, + "loss": 4.7585, + "mean_token_accuracy": 0.23608235716819764, + "num_tokens": 12517238.0, + "step": 5575 + }, + { + "entropy": 5.505292367935181, + "epoch": 6.032449972958356, + "grad_norm": 1.0, + "learning_rate": 0.00023582591028757706, + "loss": 4.7658, + "mean_token_accuracy": 0.2349627658724785, + "num_tokens": 12527212.0, + "step": 5580 + }, + { + "entropy": 5.498833179473877, + "epoch": 6.037858301784748, + "grad_norm": 1.140625, + "learning_rate": 0.00023540361381766274, + "loss": 4.7521, + "mean_token_accuracy": 0.24202902466058732, + "num_tokens": 12537939.0, + "step": 5585 + }, + { + "entropy": 5.450468730926514, + "epoch": 6.043266630611141, + "grad_norm": 1.1015625, + "learning_rate": 0.0002349814612411073, + "loss": 4.7608, + "mean_token_accuracy": 0.2359851762652397, + "num_tokens": 12547987.0, + "step": 5590 + }, + { + "entropy": 5.448811483383179, + "epoch": 6.048674959437534, + "grad_norm": 1.078125, + "learning_rate": 0.00023455945409201411, + "loss": 4.7812, + "mean_token_accuracy": 0.22653527408838273, + "num_tokens": 12558505.0, + "step": 5595 + }, + { + "entropy": 5.464963436126709, + "epoch": 6.054083288263927, + "grad_norm": 0.94921875, + "learning_rate": 0.00023413759390395828, + "loss": 4.7156, + "mean_token_accuracy": 0.2361931696534157, + "num_tokens": 12569748.0, + "step": 5600 + }, + { + "entropy": 5.405935955047608, + "epoch": 6.059491617090319, + "grad_norm": 0.97265625, + "learning_rate": 0.0002337158822099807, + "loss": 4.6811, + "mean_token_accuracy": 0.23703676611185073, + "num_tokens": 12581420.0, + "step": 5605 + }, + { + "entropy": 5.496515464782715, + "epoch": 6.064899945916712, + "grad_norm": 0.97265625, + "learning_rate": 0.0002332943205425825, + "loss": 4.7871, + "mean_token_accuracy": 0.23721451163291932, + "num_tokens": 12593781.0, + "step": 5610 + }, + { + "entropy": 5.41494345664978, + "epoch": 6.0703082747431045, + "grad_norm": 0.96875, + "learning_rate": 0.00023287291043371978, + "loss": 4.7303, + "mean_token_accuracy": 0.23353902548551558, + "num_tokens": 12606264.0, + "step": 5615 + }, + { + "entropy": 5.530503511428833, + "epoch": 6.075716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.00023245165341479796, + "loss": 4.7879, + "mean_token_accuracy": 0.23578621298074723, + "num_tokens": 12617419.0, + "step": 5620 + }, + { + "entropy": 5.488958168029785, + "epoch": 6.081124932395889, + "grad_norm": 0.9921875, + "learning_rate": 0.00023203055101666593, + "loss": 4.7215, + "mean_token_accuracy": 0.23366791605949402, + "num_tokens": 12628628.0, + "step": 5625 + }, + { + "entropy": 5.430446004867553, + "epoch": 6.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 0.0002316096047696108, + "loss": 4.7062, + "mean_token_accuracy": 0.236600761115551, + "num_tokens": 12638375.0, + "step": 5630 + }, + { + "entropy": 5.397326183319092, + "epoch": 6.091941590048675, + "grad_norm": 1.0078125, + "learning_rate": 0.0002311888162033522, + "loss": 4.7394, + "mean_token_accuracy": 0.22856123596429825, + "num_tokens": 12649174.0, + "step": 5635 + }, + { + "entropy": 5.44256558418274, + "epoch": 6.097349918875068, + "grad_norm": 1.1171875, + "learning_rate": 0.00023076818684703682, + "loss": 4.699, + "mean_token_accuracy": 0.24027512669563295, + "num_tokens": 12659454.0, + "step": 5640 + }, + { + "entropy": 5.453388214111328, + "epoch": 6.10275824770146, + "grad_norm": 0.890625, + "learning_rate": 0.00023034771822923268, + "loss": 4.7424, + "mean_token_accuracy": 0.23804700821638108, + "num_tokens": 12672093.0, + "step": 5645 + }, + { + "entropy": 5.454080533981323, + "epoch": 6.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0002299274118779236, + "loss": 4.785, + "mean_token_accuracy": 0.2312723308801651, + "num_tokens": 12683628.0, + "step": 5650 + }, + { + "entropy": 5.4466057300567625, + "epoch": 6.113574905354246, + "grad_norm": 1.046875, + "learning_rate": 0.00022950726932050386, + "loss": 4.7334, + "mean_token_accuracy": 0.23570535182952881, + "num_tokens": 12694726.0, + "step": 5655 + }, + { + "entropy": 5.5058012962341305, + "epoch": 6.1189832341806385, + "grad_norm": 1.0234375, + "learning_rate": 0.00022908729208377267, + "loss": 4.7932, + "mean_token_accuracy": 0.23238887786865234, + "num_tokens": 12705292.0, + "step": 5660 + }, + { + "entropy": 5.484908533096314, + "epoch": 6.1243915630070305, + "grad_norm": 0.96484375, + "learning_rate": 0.00022866748169392815, + "loss": 4.7849, + "mean_token_accuracy": 0.23078074902296067, + "num_tokens": 12717721.0, + "step": 5665 + }, + { + "entropy": 5.498049545288086, + "epoch": 6.129799891833423, + "grad_norm": 1.1171875, + "learning_rate": 0.00022824783967656208, + "loss": 4.7845, + "mean_token_accuracy": 0.2278717815876007, + "num_tokens": 12728360.0, + "step": 5670 + }, + { + "entropy": 5.479033756256103, + "epoch": 6.135208220659816, + "grad_norm": 0.99609375, + "learning_rate": 0.00022782836755665475, + "loss": 4.8063, + "mean_token_accuracy": 0.23036560267210007, + "num_tokens": 12739771.0, + "step": 5675 + }, + { + "entropy": 5.458578395843506, + "epoch": 6.140616549486209, + "grad_norm": 0.9921875, + "learning_rate": 0.00022740906685856876, + "loss": 4.7555, + "mean_token_accuracy": 0.23326312750577927, + "num_tokens": 12750024.0, + "step": 5680 + }, + { + "entropy": 5.433383131027222, + "epoch": 6.146024878312601, + "grad_norm": 1.03125, + "learning_rate": 0.00022698993910604383, + "loss": 4.7345, + "mean_token_accuracy": 0.23391510397195817, + "num_tokens": 12761160.0, + "step": 5685 + }, + { + "entropy": 5.495377540588379, + "epoch": 6.151433207138994, + "grad_norm": 1.0, + "learning_rate": 0.000226570985822191, + "loss": 4.7313, + "mean_token_accuracy": 0.24146672785282136, + "num_tokens": 12773043.0, + "step": 5690 + }, + { + "entropy": 5.40164361000061, + "epoch": 6.156841535965387, + "grad_norm": 0.984375, + "learning_rate": 0.00022615220852948765, + "loss": 4.7302, + "mean_token_accuracy": 0.23376860320568085, + "num_tokens": 12783479.0, + "step": 5695 + }, + { + "entropy": 5.515926313400269, + "epoch": 6.16224986479178, + "grad_norm": 0.93359375, + "learning_rate": 0.00022573360874977145, + "loss": 4.8247, + "mean_token_accuracy": 0.23175337463617324, + "num_tokens": 12794889.0, + "step": 5700 + }, + { + "entropy": 5.480621385574341, + "epoch": 6.167658193618172, + "grad_norm": 1.0625, + "learning_rate": 0.00022531518800423484, + "loss": 4.7982, + "mean_token_accuracy": 0.22605834305286407, + "num_tokens": 12806161.0, + "step": 5705 + }, + { + "entropy": 5.527550983428955, + "epoch": 6.173066522444564, + "grad_norm": 0.9609375, + "learning_rate": 0.0002248969478134199, + "loss": 4.8218, + "mean_token_accuracy": 0.23102053105831147, + "num_tokens": 12817829.0, + "step": 5710 + }, + { + "entropy": 5.474001789093018, + "epoch": 6.178474851270957, + "grad_norm": 1.15625, + "learning_rate": 0.00022447888969721232, + "loss": 4.8695, + "mean_token_accuracy": 0.22121107429265977, + "num_tokens": 12828212.0, + "step": 5715 + }, + { + "entropy": 5.518413400650024, + "epoch": 6.18388318009735, + "grad_norm": 1.109375, + "learning_rate": 0.00022406101517483636, + "loss": 4.7935, + "mean_token_accuracy": 0.23179168701171876, + "num_tokens": 12840058.0, + "step": 5720 + }, + { + "entropy": 5.461467647552491, + "epoch": 6.189291508923742, + "grad_norm": 0.88671875, + "learning_rate": 0.00022364332576484897, + "loss": 4.7839, + "mean_token_accuracy": 0.230883426964283, + "num_tokens": 12852833.0, + "step": 5725 + }, + { + "entropy": 5.48510422706604, + "epoch": 6.194699837750135, + "grad_norm": 1.0078125, + "learning_rate": 0.0002232258229851345, + "loss": 4.7751, + "mean_token_accuracy": 0.23518833070993422, + "num_tokens": 12863487.0, + "step": 5730 + }, + { + "entropy": 5.440191650390625, + "epoch": 6.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00022280850835289885, + "loss": 4.6923, + "mean_token_accuracy": 0.23732944577932358, + "num_tokens": 12873952.0, + "step": 5735 + }, + { + "entropy": 5.431076765060425, + "epoch": 6.205516495402921, + "grad_norm": 1.140625, + "learning_rate": 0.00022239138338466452, + "loss": 4.7793, + "mean_token_accuracy": 0.23101767003536225, + "num_tokens": 12884462.0, + "step": 5740 + }, + { + "entropy": 5.446973085403442, + "epoch": 6.210924824229313, + "grad_norm": 1.078125, + "learning_rate": 0.00022197444959626451, + "loss": 4.727, + "mean_token_accuracy": 0.23917102962732315, + "num_tokens": 12894996.0, + "step": 5745 + }, + { + "entropy": 5.430508470535278, + "epoch": 6.2163331530557056, + "grad_norm": 1.0625, + "learning_rate": 0.00022155770850283723, + "loss": 4.7103, + "mean_token_accuracy": 0.2357731357216835, + "num_tokens": 12906256.0, + "step": 5750 + }, + { + "entropy": 5.462933015823364, + "epoch": 6.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.00022114116161882065, + "loss": 4.8337, + "mean_token_accuracy": 0.2271495670080185, + "num_tokens": 12918738.0, + "step": 5755 + }, + { + "entropy": 5.434539031982422, + "epoch": 6.227149810708491, + "grad_norm": 1.0, + "learning_rate": 0.00022072481045794733, + "loss": 4.7419, + "mean_token_accuracy": 0.2339697703719139, + "num_tokens": 12929918.0, + "step": 5760 + }, + { + "entropy": 5.537877035140991, + "epoch": 6.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.00022030865653323823, + "loss": 4.8251, + "mean_token_accuracy": 0.23042406886816025, + "num_tokens": 12941427.0, + "step": 5765 + }, + { + "entropy": 5.459821033477783, + "epoch": 6.237966468361276, + "grad_norm": 0.9921875, + "learning_rate": 0.0002198927013569977, + "loss": 4.755, + "mean_token_accuracy": 0.23522372245788575, + "num_tokens": 12952889.0, + "step": 5770 + }, + { + "entropy": 5.45594425201416, + "epoch": 6.243374797187669, + "grad_norm": 1.0859375, + "learning_rate": 0.0002194769464408076, + "loss": 4.7728, + "mean_token_accuracy": 0.23804499059915543, + "num_tokens": 12962928.0, + "step": 5775 + }, + { + "entropy": 5.472302389144898, + "epoch": 6.248783126014062, + "grad_norm": 1.1484375, + "learning_rate": 0.0002190613932955226, + "loss": 4.7282, + "mean_token_accuracy": 0.24171511083841324, + "num_tokens": 12972901.0, + "step": 5780 + }, + { + "entropy": 5.48187289237976, + "epoch": 6.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00021864604343126365, + "loss": 4.8139, + "mean_token_accuracy": 0.23290316462516786, + "num_tokens": 12985296.0, + "step": 5785 + }, + { + "entropy": 5.538161706924439, + "epoch": 6.259599783666847, + "grad_norm": 0.9921875, + "learning_rate": 0.00021823089835741312, + "loss": 4.881, + "mean_token_accuracy": 0.22790266275405885, + "num_tokens": 12997069.0, + "step": 5790 + }, + { + "entropy": 5.485204887390137, + "epoch": 6.2650081124932395, + "grad_norm": 1.046875, + "learning_rate": 0.000217815959582609, + "loss": 4.7595, + "mean_token_accuracy": 0.23940668255090714, + "num_tokens": 13007147.0, + "step": 5795 + }, + { + "entropy": 5.438343048095703, + "epoch": 6.270416441319632, + "grad_norm": 0.984375, + "learning_rate": 0.00021740122861473992, + "loss": 4.7979, + "mean_token_accuracy": 0.23777374029159545, + "num_tokens": 13019084.0, + "step": 5800 + }, + { + "entropy": 5.5151256084442135, + "epoch": 6.275824770146025, + "grad_norm": 0.93359375, + "learning_rate": 0.00021698670696093932, + "loss": 4.8021, + "mean_token_accuracy": 0.23370311856269838, + "num_tokens": 13030751.0, + "step": 5805 + }, + { + "entropy": 5.4750467300415036, + "epoch": 6.281233098972417, + "grad_norm": 0.98046875, + "learning_rate": 0.00021657239612757963, + "loss": 4.7488, + "mean_token_accuracy": 0.23250595033168792, + "num_tokens": 13042731.0, + "step": 5810 + }, + { + "entropy": 5.464777565002441, + "epoch": 6.28664142779881, + "grad_norm": 1.0546875, + "learning_rate": 0.00021615829762026734, + "loss": 4.7205, + "mean_token_accuracy": 0.23873378783464433, + "num_tokens": 13053442.0, + "step": 5815 + }, + { + "entropy": 5.484056568145752, + "epoch": 6.292049756625203, + "grad_norm": 1.125, + "learning_rate": 0.00021574441294383752, + "loss": 4.7793, + "mean_token_accuracy": 0.2335501179099083, + "num_tokens": 13063911.0, + "step": 5820 + }, + { + "entropy": 5.4915848731994625, + "epoch": 6.297458085451596, + "grad_norm": 0.91796875, + "learning_rate": 0.00021533074360234806, + "loss": 4.8487, + "mean_token_accuracy": 0.22842135578393935, + "num_tokens": 13075887.0, + "step": 5825 + }, + { + "entropy": 5.432464218139648, + "epoch": 6.302866414277988, + "grad_norm": 1.0859375, + "learning_rate": 0.00021491729109907414, + "loss": 4.7111, + "mean_token_accuracy": 0.24290824681520462, + "num_tokens": 13087320.0, + "step": 5830 + }, + { + "entropy": 5.4360270500183105, + "epoch": 6.308274743104381, + "grad_norm": 1.0078125, + "learning_rate": 0.00021450405693650333, + "loss": 4.7483, + "mean_token_accuracy": 0.2368444621562958, + "num_tokens": 13099078.0, + "step": 5835 + }, + { + "entropy": 5.488501501083374, + "epoch": 6.3136830719307735, + "grad_norm": 1.0078125, + "learning_rate": 0.00021409104261632932, + "loss": 4.8415, + "mean_token_accuracy": 0.23506940752267838, + "num_tokens": 13111909.0, + "step": 5840 + }, + { + "entropy": 5.4188000679016115, + "epoch": 6.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.00021367824963944727, + "loss": 4.736, + "mean_token_accuracy": 0.2346210688352585, + "num_tokens": 13123297.0, + "step": 5845 + }, + { + "entropy": 5.407528495788574, + "epoch": 6.324499729583558, + "grad_norm": 1.0078125, + "learning_rate": 0.00021326567950594766, + "loss": 4.7807, + "mean_token_accuracy": 0.23231735378503798, + "num_tokens": 13133959.0, + "step": 5850 + }, + { + "entropy": 5.401265668869018, + "epoch": 6.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.0002128533337151114, + "loss": 4.6422, + "mean_token_accuracy": 0.24409369081258775, + "num_tokens": 13144858.0, + "step": 5855 + }, + { + "entropy": 5.4279073715209964, + "epoch": 6.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.0002124412137654041, + "loss": 4.7921, + "mean_token_accuracy": 0.2318548381328583, + "num_tokens": 13156437.0, + "step": 5860 + }, + { + "entropy": 5.446533298492431, + "epoch": 6.340724716062737, + "grad_norm": 1.046875, + "learning_rate": 0.00021202932115447056, + "loss": 4.7419, + "mean_token_accuracy": 0.24057282507419586, + "num_tokens": 13166860.0, + "step": 5865 + }, + { + "entropy": 5.4611639976501465, + "epoch": 6.346133044889129, + "grad_norm": 1.078125, + "learning_rate": 0.00021161765737912937, + "loss": 4.8228, + "mean_token_accuracy": 0.23280464708805085, + "num_tokens": 13178563.0, + "step": 5870 + }, + { + "entropy": 5.496692562103272, + "epoch": 6.351541373715522, + "grad_norm": 1.0703125, + "learning_rate": 0.00021120622393536775, + "loss": 4.7578, + "mean_token_accuracy": 0.22650425583124162, + "num_tokens": 13189915.0, + "step": 5875 + }, + { + "entropy": 5.509976005554199, + "epoch": 6.356949702541915, + "grad_norm": 1.125, + "learning_rate": 0.00021079502231833585, + "loss": 4.7769, + "mean_token_accuracy": 0.2329890564084053, + "num_tokens": 13201767.0, + "step": 5880 + }, + { + "entropy": 5.455395841598511, + "epoch": 6.3623580313683075, + "grad_norm": 1.1484375, + "learning_rate": 0.00021038405402234116, + "loss": 4.7817, + "mean_token_accuracy": 0.23451150208711624, + "num_tokens": 13212265.0, + "step": 5885 + }, + { + "entropy": 5.424297761917114, + "epoch": 6.367766360194699, + "grad_norm": 0.94140625, + "learning_rate": 0.0002099733205408435, + "loss": 4.8023, + "mean_token_accuracy": 0.23045464754104614, + "num_tokens": 13223503.0, + "step": 5890 + }, + { + "entropy": 5.491450643539428, + "epoch": 6.373174689021092, + "grad_norm": 1.1015625, + "learning_rate": 0.0002095628233664492, + "loss": 4.7904, + "mean_token_accuracy": 0.22897710502147675, + "num_tokens": 13234797.0, + "step": 5895 + }, + { + "entropy": 5.440606880187988, + "epoch": 6.378583017847485, + "grad_norm": 1.046875, + "learning_rate": 0.0002091525639909061, + "loss": 4.7548, + "mean_token_accuracy": 0.2377723589539528, + "num_tokens": 13246421.0, + "step": 5900 + }, + { + "entropy": 5.4440460205078125, + "epoch": 6.383991346673878, + "grad_norm": 0.96875, + "learning_rate": 0.00020874254390509757, + "loss": 4.7624, + "mean_token_accuracy": 0.23135251700878143, + "num_tokens": 13256747.0, + "step": 5905 + }, + { + "entropy": 5.482359123229981, + "epoch": 6.38939967550027, + "grad_norm": 1.1484375, + "learning_rate": 0.00020833276459903766, + "loss": 4.74, + "mean_token_accuracy": 0.23761427402496338, + "num_tokens": 13267620.0, + "step": 5910 + }, + { + "entropy": 5.496868753433228, + "epoch": 6.394808004326663, + "grad_norm": 1.03125, + "learning_rate": 0.0002079232275618651, + "loss": 4.7261, + "mean_token_accuracy": 0.23711277842521666, + "num_tokens": 13277818.0, + "step": 5915 + }, + { + "entropy": 5.354647064208985, + "epoch": 6.400216333153056, + "grad_norm": 1.0546875, + "learning_rate": 0.0002075139342818388, + "loss": 4.6986, + "mean_token_accuracy": 0.2438313126564026, + "num_tokens": 13289905.0, + "step": 5920 + }, + { + "entropy": 5.426370525360108, + "epoch": 6.405624661979449, + "grad_norm": 0.92578125, + "learning_rate": 0.00020710488624633118, + "loss": 4.6988, + "mean_token_accuracy": 0.23948602080345155, + "num_tokens": 13302465.0, + "step": 5925 + }, + { + "entropy": 5.454558897018432, + "epoch": 6.411032990805841, + "grad_norm": 1.078125, + "learning_rate": 0.00020669608494182384, + "loss": 4.7905, + "mean_token_accuracy": 0.2280614882707596, + "num_tokens": 13314366.0, + "step": 5930 + }, + { + "entropy": 5.339557838439942, + "epoch": 6.416441319632233, + "grad_norm": 1.0078125, + "learning_rate": 0.00020628753185390164, + "loss": 4.639, + "mean_token_accuracy": 0.24252013713121415, + "num_tokens": 13324981.0, + "step": 5935 + }, + { + "entropy": 5.456610202789307, + "epoch": 6.421849648458626, + "grad_norm": 1.015625, + "learning_rate": 0.0002058792284672475, + "loss": 4.7473, + "mean_token_accuracy": 0.234878046810627, + "num_tokens": 13335705.0, + "step": 5940 + }, + { + "entropy": 5.3233154296875, + "epoch": 6.427257977285019, + "grad_norm": 1.015625, + "learning_rate": 0.0002054711762656369, + "loss": 4.6921, + "mean_token_accuracy": 0.23819227814674376, + "num_tokens": 13346515.0, + "step": 5945 + }, + { + "entropy": 5.402464580535889, + "epoch": 6.432666306111411, + "grad_norm": 1.0078125, + "learning_rate": 0.00020506337673193236, + "loss": 4.7412, + "mean_token_accuracy": 0.23467027246952057, + "num_tokens": 13357780.0, + "step": 5950 + }, + { + "entropy": 5.4471968650817875, + "epoch": 6.438074634937804, + "grad_norm": 0.98828125, + "learning_rate": 0.00020465583134807836, + "loss": 4.7435, + "mean_token_accuracy": 0.24032192826271057, + "num_tokens": 13369549.0, + "step": 5955 + }, + { + "entropy": 5.520180511474609, + "epoch": 6.443482963764197, + "grad_norm": 1.0390625, + "learning_rate": 0.00020424854159509587, + "loss": 4.8087, + "mean_token_accuracy": 0.2298721730709076, + "num_tokens": 13380259.0, + "step": 5960 + }, + { + "entropy": 5.495610284805298, + "epoch": 6.44889129259059, + "grad_norm": 1.171875, + "learning_rate": 0.0002038415089530767, + "loss": 4.8364, + "mean_token_accuracy": 0.2270108386874199, + "num_tokens": 13392049.0, + "step": 5965 + }, + { + "entropy": 5.467788505554199, + "epoch": 6.4542996214169825, + "grad_norm": 1.09375, + "learning_rate": 0.00020343473490117846, + "loss": 4.7871, + "mean_token_accuracy": 0.22844729274511338, + "num_tokens": 13403874.0, + "step": 5970 + }, + { + "entropy": 5.432657051086426, + "epoch": 6.4597079502433745, + "grad_norm": 1.1171875, + "learning_rate": 0.00020302822091761884, + "loss": 4.7664, + "mean_token_accuracy": 0.2360194906592369, + "num_tokens": 13415194.0, + "step": 5975 + }, + { + "entropy": 5.463835048675537, + "epoch": 6.465116279069767, + "grad_norm": 1.203125, + "learning_rate": 0.00020262196847967091, + "loss": 4.7913, + "mean_token_accuracy": 0.23191041946411134, + "num_tokens": 13425159.0, + "step": 5980 + }, + { + "entropy": 5.454825782775879, + "epoch": 6.47052460789616, + "grad_norm": 0.98828125, + "learning_rate": 0.00020221597906365667, + "loss": 4.7798, + "mean_token_accuracy": 0.23226822465658187, + "num_tokens": 13437279.0, + "step": 5985 + }, + { + "entropy": 5.478639888763428, + "epoch": 6.475932936722553, + "grad_norm": 0.95703125, + "learning_rate": 0.00020181025414494285, + "loss": 4.7898, + "mean_token_accuracy": 0.2360480844974518, + "num_tokens": 13449170.0, + "step": 5990 + }, + { + "entropy": 5.514584064483643, + "epoch": 6.481341265548945, + "grad_norm": 1.0546875, + "learning_rate": 0.0002014047951979344, + "loss": 4.8438, + "mean_token_accuracy": 0.22370945364236833, + "num_tokens": 13460216.0, + "step": 5995 + }, + { + "entropy": 5.464205169677735, + "epoch": 6.486749594375338, + "grad_norm": 1.0625, + "learning_rate": 0.0002009996036960704, + "loss": 4.7955, + "mean_token_accuracy": 0.2337394878268242, + "num_tokens": 13470468.0, + "step": 6000 + }, + { + "epoch": 6.486749594375338, + "eval_entropy": 5.356367090615359, + "eval_loss": 5.836918830871582, + "eval_mean_token_accuracy": 0.18327153573997995, + "eval_num_tokens": 13470468.0, + "eval_runtime": 3.5524, + "eval_samples_per_second": 989.467, + "eval_steps_per_second": 123.859, + "step": 6000 + }, + { + "entropy": 5.4838872909545895, + "epoch": 6.492157923201731, + "grad_norm": 0.9765625, + "learning_rate": 0.00020059468111181757, + "loss": 4.8355, + "mean_token_accuracy": 0.2325873091816902, + "num_tokens": 13482690.0, + "step": 6005 + }, + { + "entropy": 5.377634334564209, + "epoch": 6.497566252028124, + "grad_norm": 1.0, + "learning_rate": 0.00020019002891666555, + "loss": 4.7039, + "mean_token_accuracy": 0.24070921093225478, + "num_tokens": 13494806.0, + "step": 6010 + }, + { + "entropy": 5.371237802505493, + "epoch": 6.502974580854516, + "grad_norm": 1.03125, + "learning_rate": 0.00019978564858112125, + "loss": 4.7015, + "mean_token_accuracy": 0.24223154485225679, + "num_tokens": 13506968.0, + "step": 6015 + }, + { + "entropy": 5.492704820632935, + "epoch": 6.5083829096809085, + "grad_norm": 1.03125, + "learning_rate": 0.00019938154157470378, + "loss": 4.8381, + "mean_token_accuracy": 0.2364162266254425, + "num_tokens": 13518817.0, + "step": 6020 + }, + { + "entropy": 5.4859953880310055, + "epoch": 6.513791238507301, + "grad_norm": 1.0859375, + "learning_rate": 0.00019897770936593912, + "loss": 4.7452, + "mean_token_accuracy": 0.24185479283332825, + "num_tokens": 13529054.0, + "step": 6025 + }, + { + "entropy": 5.4339841365814205, + "epoch": 6.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.0001985741534223543, + "loss": 4.7583, + "mean_token_accuracy": 0.23412617295980453, + "num_tokens": 13540462.0, + "step": 6030 + }, + { + "entropy": 5.528876304626465, + "epoch": 6.524607896160086, + "grad_norm": 1.1640625, + "learning_rate": 0.00019817087521047244, + "loss": 4.8767, + "mean_token_accuracy": 0.22286273241043092, + "num_tokens": 13551949.0, + "step": 6035 + }, + { + "entropy": 5.508295059204102, + "epoch": 6.530016224986479, + "grad_norm": 1.0078125, + "learning_rate": 0.00019776787619580767, + "loss": 4.8043, + "mean_token_accuracy": 0.23924179673194884, + "num_tokens": 13562567.0, + "step": 6040 + }, + { + "entropy": 5.43859338760376, + "epoch": 6.535424553812872, + "grad_norm": 1.1484375, + "learning_rate": 0.0001973651578428593, + "loss": 4.7628, + "mean_token_accuracy": 0.23885137885808944, + "num_tokens": 13573696.0, + "step": 6045 + }, + { + "entropy": 5.490781259536743, + "epoch": 6.540832882639265, + "grad_norm": 1.046875, + "learning_rate": 0.00019696272161510663, + "loss": 4.8612, + "mean_token_accuracy": 0.22521820068359374, + "num_tokens": 13585941.0, + "step": 6050 + }, + { + "entropy": 5.4247150897979735, + "epoch": 6.546241211465657, + "grad_norm": 1.09375, + "learning_rate": 0.00019656056897500408, + "loss": 4.6436, + "mean_token_accuracy": 0.2483742877840996, + "num_tokens": 13597665.0, + "step": 6055 + }, + { + "entropy": 5.382246017456055, + "epoch": 6.55164954029205, + "grad_norm": 1.15625, + "learning_rate": 0.00019615870138397506, + "loss": 4.7428, + "mean_token_accuracy": 0.229461170732975, + "num_tokens": 13608732.0, + "step": 6060 + }, + { + "entropy": 5.559137582778931, + "epoch": 6.5570578691184425, + "grad_norm": 1.1328125, + "learning_rate": 0.0001957571203024075, + "loss": 4.8794, + "mean_token_accuracy": 0.2277083858847618, + "num_tokens": 13620710.0, + "step": 6065 + }, + { + "entropy": 5.4016365051269535, + "epoch": 6.562466197944835, + "grad_norm": 1.0234375, + "learning_rate": 0.00019535582718964773, + "loss": 4.7, + "mean_token_accuracy": 0.22991207093000413, + "num_tokens": 13632157.0, + "step": 6070 + }, + { + "entropy": 5.468547010421753, + "epoch": 6.567874526771227, + "grad_norm": 1.078125, + "learning_rate": 0.00019495482350399612, + "loss": 4.721, + "mean_token_accuracy": 0.2484972819685936, + "num_tokens": 13642833.0, + "step": 6075 + }, + { + "entropy": 5.477743625640869, + "epoch": 6.57328285559762, + "grad_norm": 1.0703125, + "learning_rate": 0.0001945541107027009, + "loss": 4.8397, + "mean_token_accuracy": 0.23110663294792175, + "num_tokens": 13654985.0, + "step": 6080 + }, + { + "entropy": 5.4450866222381595, + "epoch": 6.578691184424013, + "grad_norm": 1.046875, + "learning_rate": 0.0001941536902419533, + "loss": 4.785, + "mean_token_accuracy": 0.23091002255678178, + "num_tokens": 13666180.0, + "step": 6085 + }, + { + "entropy": 5.426376247406006, + "epoch": 6.584099513250406, + "grad_norm": 0.97265625, + "learning_rate": 0.00019375356357688206, + "loss": 4.7357, + "mean_token_accuracy": 0.24122271835803985, + "num_tokens": 13677993.0, + "step": 6090 + }, + { + "entropy": 5.533717823028565, + "epoch": 6.589507842076799, + "grad_norm": 1.203125, + "learning_rate": 0.00019335373216154862, + "loss": 4.8881, + "mean_token_accuracy": 0.23069773763418197, + "num_tokens": 13687427.0, + "step": 6095 + }, + { + "entropy": 5.422270774841309, + "epoch": 6.594916170903191, + "grad_norm": 1.1171875, + "learning_rate": 0.00019295419744894116, + "loss": 4.7115, + "mean_token_accuracy": 0.24273773580789565, + "num_tokens": 13698255.0, + "step": 6100 + }, + { + "entropy": 5.492586517333985, + "epoch": 6.600324499729584, + "grad_norm": 0.98828125, + "learning_rate": 0.00019255496089096985, + "loss": 4.8158, + "mean_token_accuracy": 0.22930402904748917, + "num_tokens": 13710471.0, + "step": 6105 + }, + { + "entropy": 5.522595310211182, + "epoch": 6.605732828555976, + "grad_norm": 1.0390625, + "learning_rate": 0.00019215602393846104, + "loss": 4.9235, + "mean_token_accuracy": 0.227778759598732, + "num_tokens": 13721605.0, + "step": 6110 + }, + { + "entropy": 5.461326646804809, + "epoch": 6.611141157382368, + "grad_norm": 1.0703125, + "learning_rate": 0.00019175738804115279, + "loss": 4.7891, + "mean_token_accuracy": 0.2319536179304123, + "num_tokens": 13732639.0, + "step": 6115 + }, + { + "entropy": 5.454809093475342, + "epoch": 6.616549486208761, + "grad_norm": 1.09375, + "learning_rate": 0.00019135905464768882, + "loss": 4.7584, + "mean_token_accuracy": 0.23282596617937087, + "num_tokens": 13743644.0, + "step": 6120 + }, + { + "entropy": 5.429327869415284, + "epoch": 6.621957815035154, + "grad_norm": 0.99609375, + "learning_rate": 0.00019096102520561344, + "loss": 4.6881, + "mean_token_accuracy": 0.24907640665769576, + "num_tokens": 13754887.0, + "step": 6125 + }, + { + "entropy": 5.459971714019775, + "epoch": 6.627366143861547, + "grad_norm": 1.125, + "learning_rate": 0.00019056330116136666, + "loss": 4.8665, + "mean_token_accuracy": 0.23227984756231307, + "num_tokens": 13766267.0, + "step": 6130 + }, + { + "entropy": 5.479209947586059, + "epoch": 6.63277447268794, + "grad_norm": 1.078125, + "learning_rate": 0.00019016588396027862, + "loss": 4.785, + "mean_token_accuracy": 0.22960527539253234, + "num_tokens": 13776532.0, + "step": 6135 + }, + { + "entropy": 5.446014642715454, + "epoch": 6.638182801514332, + "grad_norm": 1.0546875, + "learning_rate": 0.00018976877504656438, + "loss": 4.7252, + "mean_token_accuracy": 0.23457733541727066, + "num_tokens": 13787511.0, + "step": 6140 + }, + { + "entropy": 5.418573427200317, + "epoch": 6.643591130340725, + "grad_norm": 1.015625, + "learning_rate": 0.0001893719758633185, + "loss": 4.7603, + "mean_token_accuracy": 0.23951076716184616, + "num_tokens": 13799264.0, + "step": 6145 + }, + { + "entropy": 5.492339086532593, + "epoch": 6.6489994591671175, + "grad_norm": 1.0546875, + "learning_rate": 0.00018897548785251018, + "loss": 4.8451, + "mean_token_accuracy": 0.22612449377775193, + "num_tokens": 13810271.0, + "step": 6150 + }, + { + "entropy": 5.461274480819702, + "epoch": 6.6544077879935095, + "grad_norm": 1.1328125, + "learning_rate": 0.0001885793124549779, + "loss": 4.7764, + "mean_token_accuracy": 0.23858335763216018, + "num_tokens": 13820980.0, + "step": 6155 + }, + { + "entropy": 5.525525903701782, + "epoch": 6.659816116819902, + "grad_norm": 1.0390625, + "learning_rate": 0.00018818345111042383, + "loss": 4.9345, + "mean_token_accuracy": 0.2248729422688484, + "num_tokens": 13832522.0, + "step": 6160 + }, + { + "entropy": 5.425912666320801, + "epoch": 6.665224445646295, + "grad_norm": 1.1328125, + "learning_rate": 0.00018778790525740907, + "loss": 4.7193, + "mean_token_accuracy": 0.2379765972495079, + "num_tokens": 13844453.0, + "step": 6165 + }, + { + "entropy": 5.52116117477417, + "epoch": 6.670632774472688, + "grad_norm": 0.9375, + "learning_rate": 0.00018739267633334806, + "loss": 4.8558, + "mean_token_accuracy": 0.22124128192663192, + "num_tokens": 13856776.0, + "step": 6170 + }, + { + "entropy": 5.443723726272583, + "epoch": 6.676041103299081, + "grad_norm": 0.98828125, + "learning_rate": 0.00018699776577450378, + "loss": 4.7637, + "mean_token_accuracy": 0.2337685525417328, + "num_tokens": 13868050.0, + "step": 6175 + }, + { + "entropy": 5.492089128494262, + "epoch": 6.681449432125473, + "grad_norm": 1.0078125, + "learning_rate": 0.00018660317501598212, + "loss": 4.8518, + "mean_token_accuracy": 0.22990886569023133, + "num_tokens": 13879866.0, + "step": 6180 + }, + { + "entropy": 5.48423171043396, + "epoch": 6.686857760951866, + "grad_norm": 0.91796875, + "learning_rate": 0.0001862089054917266, + "loss": 4.7604, + "mean_token_accuracy": 0.22882692217826844, + "num_tokens": 13891782.0, + "step": 6185 + }, + { + "entropy": 5.454492902755737, + "epoch": 6.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.0001858149586345137, + "loss": 4.8486, + "mean_token_accuracy": 0.2267652705311775, + "num_tokens": 13903587.0, + "step": 6190 + }, + { + "entropy": 5.487734699249268, + "epoch": 6.6976744186046515, + "grad_norm": 1.1171875, + "learning_rate": 0.00018542133587594735, + "loss": 4.7559, + "mean_token_accuracy": 0.23566682040691375, + "num_tokens": 13914921.0, + "step": 6195 + }, + { + "entropy": 5.510404586791992, + "epoch": 6.7030827474310435, + "grad_norm": 1.1171875, + "learning_rate": 0.00018502803864645334, + "loss": 4.7447, + "mean_token_accuracy": 0.23118012845516206, + "num_tokens": 13925412.0, + "step": 6200 + }, + { + "entropy": 5.485953426361084, + "epoch": 6.708491076257436, + "grad_norm": 1.03125, + "learning_rate": 0.00018463506837527484, + "loss": 4.7566, + "mean_token_accuracy": 0.23713926672935487, + "num_tokens": 13935783.0, + "step": 6205 + }, + { + "entropy": 5.3922570705413815, + "epoch": 6.713899405083829, + "grad_norm": 1.2421875, + "learning_rate": 0.00018424242649046663, + "loss": 4.7659, + "mean_token_accuracy": 0.23707763850688934, + "num_tokens": 13945233.0, + "step": 6210 + }, + { + "entropy": 5.48021879196167, + "epoch": 6.719307733910222, + "grad_norm": 1.046875, + "learning_rate": 0.00018385011441889037, + "loss": 4.7698, + "mean_token_accuracy": 0.2360626772046089, + "num_tokens": 13955411.0, + "step": 6215 + }, + { + "entropy": 5.523493337631225, + "epoch": 6.724716062736614, + "grad_norm": 1.0390625, + "learning_rate": 0.00018345813358620894, + "loss": 4.9065, + "mean_token_accuracy": 0.2244351848959923, + "num_tokens": 13966607.0, + "step": 6220 + }, + { + "entropy": 5.546255588531494, + "epoch": 6.730124391563007, + "grad_norm": 0.9921875, + "learning_rate": 0.0001830664854168816, + "loss": 4.8721, + "mean_token_accuracy": 0.2342979833483696, + "num_tokens": 13978122.0, + "step": 6225 + }, + { + "entropy": 5.48574800491333, + "epoch": 6.7355327203894, + "grad_norm": 1.046875, + "learning_rate": 0.00018267517133415862, + "loss": 4.7914, + "mean_token_accuracy": 0.2378652423620224, + "num_tokens": 13989301.0, + "step": 6230 + }, + { + "entropy": 5.593584823608398, + "epoch": 6.740941049215793, + "grad_norm": 1.0625, + "learning_rate": 0.00018228419276007646, + "loss": 4.8879, + "mean_token_accuracy": 0.22455106675624847, + "num_tokens": 14000674.0, + "step": 6235 + }, + { + "entropy": 5.466882848739624, + "epoch": 6.746349378042185, + "grad_norm": 1.171875, + "learning_rate": 0.00018189355111545208, + "loss": 4.7649, + "mean_token_accuracy": 0.22919233441352843, + "num_tokens": 14012884.0, + "step": 6240 + }, + { + "entropy": 5.408292770385742, + "epoch": 6.7517577068685775, + "grad_norm": 1.0546875, + "learning_rate": 0.0001815032478198781, + "loss": 4.7689, + "mean_token_accuracy": 0.22624011039733888, + "num_tokens": 14023624.0, + "step": 6245 + }, + { + "entropy": 5.501367807388306, + "epoch": 6.75716603569497, + "grad_norm": 1.0390625, + "learning_rate": 0.00018111328429171747, + "loss": 4.8435, + "mean_token_accuracy": 0.22636697590351104, + "num_tokens": 14034873.0, + "step": 6250 + }, + { + "entropy": 5.493204069137573, + "epoch": 6.762574364521363, + "grad_norm": 1.0859375, + "learning_rate": 0.00018072366194809886, + "loss": 4.7605, + "mean_token_accuracy": 0.2378583535552025, + "num_tokens": 14045707.0, + "step": 6255 + }, + { + "entropy": 5.450195169448852, + "epoch": 6.767982693347756, + "grad_norm": 1.0546875, + "learning_rate": 0.00018033438220491055, + "loss": 4.8147, + "mean_token_accuracy": 0.24106226861476898, + "num_tokens": 14056774.0, + "step": 6260 + }, + { + "entropy": 5.395016431808472, + "epoch": 6.773391022174148, + "grad_norm": 1.1328125, + "learning_rate": 0.000179945446476796, + "loss": 4.6921, + "mean_token_accuracy": 0.24216643571853638, + "num_tokens": 14067358.0, + "step": 6265 + }, + { + "entropy": 5.455972051620483, + "epoch": 6.778799351000541, + "grad_norm": 1.0625, + "learning_rate": 0.00017955685617714867, + "loss": 4.7687, + "mean_token_accuracy": 0.23320888876914977, + "num_tokens": 14078336.0, + "step": 6270 + }, + { + "entropy": 5.525402450561524, + "epoch": 6.784207679826934, + "grad_norm": 0.98046875, + "learning_rate": 0.0001791686127181066, + "loss": 4.9202, + "mean_token_accuracy": 0.22177284806966782, + "num_tokens": 14091700.0, + "step": 6275 + }, + { + "entropy": 5.496983194351197, + "epoch": 6.789616008653326, + "grad_norm": 0.92578125, + "learning_rate": 0.00017878071751054736, + "loss": 4.837, + "mean_token_accuracy": 0.22447920441627503, + "num_tokens": 14103322.0, + "step": 6280 + }, + { + "entropy": 5.5157805442810055, + "epoch": 6.795024337479719, + "grad_norm": 1.09375, + "learning_rate": 0.00017839317196408305, + "loss": 4.8589, + "mean_token_accuracy": 0.2351175755262375, + "num_tokens": 14114758.0, + "step": 6285 + }, + { + "entropy": 5.3984763622283936, + "epoch": 6.800432666306111, + "grad_norm": 1.0625, + "learning_rate": 0.00017800597748705494, + "loss": 4.6811, + "mean_token_accuracy": 0.2468650996685028, + "num_tokens": 14124935.0, + "step": 6290 + }, + { + "entropy": 5.423747539520264, + "epoch": 6.805840995132504, + "grad_norm": 1.0, + "learning_rate": 0.0001776191354865289, + "loss": 4.7441, + "mean_token_accuracy": 0.24243067800998688, + "num_tokens": 14136102.0, + "step": 6295 + }, + { + "entropy": 5.47675724029541, + "epoch": 6.811249323958897, + "grad_norm": 1.0546875, + "learning_rate": 0.00017723264736828952, + "loss": 4.7482, + "mean_token_accuracy": 0.24305145889520646, + "num_tokens": 14147042.0, + "step": 6300 + }, + { + "entropy": 5.3783485889434814, + "epoch": 6.816657652785289, + "grad_norm": 1.140625, + "learning_rate": 0.00017684651453683554, + "loss": 4.6729, + "mean_token_accuracy": 0.24017125219106675, + "num_tokens": 14158045.0, + "step": 6305 + }, + { + "entropy": 5.419600963592529, + "epoch": 6.822065981611682, + "grad_norm": 1.125, + "learning_rate": 0.00017646073839537458, + "loss": 4.7921, + "mean_token_accuracy": 0.23383526057004927, + "num_tokens": 14169815.0, + "step": 6310 + }, + { + "entropy": 5.400470495223999, + "epoch": 6.827474310438075, + "grad_norm": 1.140625, + "learning_rate": 0.00017607532034581797, + "loss": 4.753, + "mean_token_accuracy": 0.22974225133657455, + "num_tokens": 14179965.0, + "step": 6315 + }, + { + "entropy": 5.536269664764404, + "epoch": 6.832882639264467, + "grad_norm": 1.1015625, + "learning_rate": 0.00017569026178877584, + "loss": 4.8555, + "mean_token_accuracy": 0.23882761746644973, + "num_tokens": 14191142.0, + "step": 6320 + }, + { + "entropy": 5.507011890411377, + "epoch": 6.83829096809086, + "grad_norm": 1.0390625, + "learning_rate": 0.0001753055641235519, + "loss": 4.7463, + "mean_token_accuracy": 0.2407160997390747, + "num_tokens": 14201765.0, + "step": 6325 + }, + { + "entropy": 5.463215494155884, + "epoch": 6.8436992969172525, + "grad_norm": 1.109375, + "learning_rate": 0.00017492122874813824, + "loss": 4.802, + "mean_token_accuracy": 0.23131725937128067, + "num_tokens": 14211995.0, + "step": 6330 + }, + { + "entropy": 5.5310859203338625, + "epoch": 6.849107625743645, + "grad_norm": 1.015625, + "learning_rate": 0.0001745372570592107, + "loss": 4.9147, + "mean_token_accuracy": 0.21638796478509903, + "num_tokens": 14225488.0, + "step": 6335 + }, + { + "entropy": 5.4645874977111815, + "epoch": 6.854515954570038, + "grad_norm": 1.0546875, + "learning_rate": 0.00017415365045212312, + "loss": 4.7541, + "mean_token_accuracy": 0.23150826692581178, + "num_tokens": 14237459.0, + "step": 6340 + }, + { + "entropy": 5.497331428527832, + "epoch": 6.85992428339643, + "grad_norm": 1.0625, + "learning_rate": 0.00017377041032090278, + "loss": 4.8308, + "mean_token_accuracy": 0.22778917849063873, + "num_tokens": 14248136.0, + "step": 6345 + }, + { + "entropy": 5.493479537963867, + "epoch": 6.865332612222823, + "grad_norm": 1.078125, + "learning_rate": 0.00017338753805824536, + "loss": 4.8375, + "mean_token_accuracy": 0.22441824078559874, + "num_tokens": 14260239.0, + "step": 6350 + }, + { + "entropy": 5.397213077545166, + "epoch": 6.870740941049216, + "grad_norm": 0.93359375, + "learning_rate": 0.00017300503505550939, + "loss": 4.7386, + "mean_token_accuracy": 0.23439123779535292, + "num_tokens": 14271825.0, + "step": 6355 + }, + { + "entropy": 5.371894598007202, + "epoch": 6.876149269875609, + "grad_norm": 1.0546875, + "learning_rate": 0.00017262290270271175, + "loss": 4.6615, + "mean_token_accuracy": 0.24698663353919983, + "num_tokens": 14282517.0, + "step": 6360 + }, + { + "entropy": 5.514883232116699, + "epoch": 6.881557598702001, + "grad_norm": 1.09375, + "learning_rate": 0.00017224114238852234, + "loss": 4.8437, + "mean_token_accuracy": 0.23700363636016847, + "num_tokens": 14293548.0, + "step": 6365 + }, + { + "entropy": 5.458508491516113, + "epoch": 6.886965927528394, + "grad_norm": 0.99609375, + "learning_rate": 0.0001718597555002588, + "loss": 4.8109, + "mean_token_accuracy": 0.2287731185555458, + "num_tokens": 14305782.0, + "step": 6370 + }, + { + "entropy": 5.464990663528442, + "epoch": 6.8923742563547865, + "grad_norm": 1.015625, + "learning_rate": 0.00017147874342388227, + "loss": 4.7446, + "mean_token_accuracy": 0.23635595589876174, + "num_tokens": 14315968.0, + "step": 6375 + }, + { + "entropy": 5.484697961807251, + "epoch": 6.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0001710981075439913, + "loss": 4.7885, + "mean_token_accuracy": 0.23122970163822174, + "num_tokens": 14327579.0, + "step": 6380 + }, + { + "entropy": 5.556122732162476, + "epoch": 6.903190914007571, + "grad_norm": 1.0390625, + "learning_rate": 0.00017071784924381766, + "loss": 4.8536, + "mean_token_accuracy": 0.22923520505428313, + "num_tokens": 14338620.0, + "step": 6385 + }, + { + "entropy": 5.435343933105469, + "epoch": 6.908599242833964, + "grad_norm": 1.078125, + "learning_rate": 0.00017033796990522081, + "loss": 4.736, + "mean_token_accuracy": 0.23136261701583863, + "num_tokens": 14348638.0, + "step": 6390 + }, + { + "entropy": 5.469294881820678, + "epoch": 6.914007571660357, + "grad_norm": 1.109375, + "learning_rate": 0.00016995847090868322, + "loss": 4.8066, + "mean_token_accuracy": 0.23570748418569565, + "num_tokens": 14359253.0, + "step": 6395 + }, + { + "entropy": 5.488160896301269, + "epoch": 6.91941590048675, + "grad_norm": 1.0703125, + "learning_rate": 0.00016957935363330506, + "loss": 4.7846, + "mean_token_accuracy": 0.23263452798128129, + "num_tokens": 14370659.0, + "step": 6400 + }, + { + "entropy": 5.467180585861206, + "epoch": 6.924824229313142, + "grad_norm": 1.125, + "learning_rate": 0.00016920061945679951, + "loss": 4.8172, + "mean_token_accuracy": 0.22805383503437043, + "num_tokens": 14381136.0, + "step": 6405 + }, + { + "entropy": 5.463050317764282, + "epoch": 6.930232558139535, + "grad_norm": 0.99609375, + "learning_rate": 0.0001688222697554872, + "loss": 4.8262, + "mean_token_accuracy": 0.22429136484861373, + "num_tokens": 14392789.0, + "step": 6410 + }, + { + "entropy": 5.463587474822998, + "epoch": 6.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.000168444305904292, + "loss": 4.7404, + "mean_token_accuracy": 0.23504639863967897, + "num_tokens": 14402808.0, + "step": 6415 + }, + { + "entropy": 5.518123960494995, + "epoch": 6.9410492157923205, + "grad_norm": 1.046875, + "learning_rate": 0.00016806672927673552, + "loss": 4.8328, + "mean_token_accuracy": 0.22986545860767366, + "num_tokens": 14413961.0, + "step": 6420 + }, + { + "entropy": 5.479937028884888, + "epoch": 6.9464575446187125, + "grad_norm": 1.15625, + "learning_rate": 0.00016768954124493188, + "loss": 4.7478, + "mean_token_accuracy": 0.2352260708808899, + "num_tokens": 14424416.0, + "step": 6425 + }, + { + "entropy": 5.5164111137390135, + "epoch": 6.951865873445105, + "grad_norm": 1.125, + "learning_rate": 0.00016731274317958333, + "loss": 4.8971, + "mean_token_accuracy": 0.22941209524869918, + "num_tokens": 14435771.0, + "step": 6430 + }, + { + "entropy": 5.4186872959136965, + "epoch": 6.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.0001669363364499749, + "loss": 4.73, + "mean_token_accuracy": 0.23911819905042647, + "num_tokens": 14447106.0, + "step": 6435 + }, + { + "entropy": 5.442362308502197, + "epoch": 6.962682531097891, + "grad_norm": 1.03125, + "learning_rate": 0.00016656032242396958, + "loss": 4.8122, + "mean_token_accuracy": 0.2302314579486847, + "num_tokens": 14458698.0, + "step": 6440 + }, + { + "entropy": 5.453445291519165, + "epoch": 6.968090859924283, + "grad_norm": 1.078125, + "learning_rate": 0.00016618470246800322, + "loss": 4.7455, + "mean_token_accuracy": 0.23800296932458878, + "num_tokens": 14469440.0, + "step": 6445 + }, + { + "entropy": 5.490810489654541, + "epoch": 6.973499188750676, + "grad_norm": 1.1015625, + "learning_rate": 0.00016580947794707937, + "loss": 4.8024, + "mean_token_accuracy": 0.24103218615055083, + "num_tokens": 14480256.0, + "step": 6450 + }, + { + "entropy": 5.470514965057373, + "epoch": 6.978907517577069, + "grad_norm": 1.046875, + "learning_rate": 0.00016543465022476512, + "loss": 4.8481, + "mean_token_accuracy": 0.23317314237356185, + "num_tokens": 14492347.0, + "step": 6455 + }, + { + "entropy": 5.454502725601197, + "epoch": 6.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0001650602206631852, + "loss": 4.7853, + "mean_token_accuracy": 0.22942974418401718, + "num_tokens": 14503492.0, + "step": 6460 + }, + { + "entropy": 5.506963491439819, + "epoch": 6.9897241752298545, + "grad_norm": 1.09375, + "learning_rate": 0.00016468619062301739, + "loss": 4.9144, + "mean_token_accuracy": 0.2240392178297043, + "num_tokens": 14515843.0, + "step": 6465 + }, + { + "entropy": 5.422661304473877, + "epoch": 6.995132504056246, + "grad_norm": 1.1171875, + "learning_rate": 0.0001643125614634877, + "loss": 4.7668, + "mean_token_accuracy": 0.22867323458194733, + "num_tokens": 14526733.0, + "step": 6470 + }, + { + "entropy": 5.484320746527778, + "epoch": 7.0, + "grad_norm": 2.09375, + "learning_rate": 0.0001639393345423656, + "loss": 4.9156, + "mean_token_accuracy": 0.22375796569718254, + "num_tokens": 14538223.0, + "step": 6475 + }, + { + "entropy": 5.473077964782715, + "epoch": 7.005408328826393, + "grad_norm": 0.9921875, + "learning_rate": 0.00016356651121595832, + "loss": 4.6896, + "mean_token_accuracy": 0.23437674343585968, + "num_tokens": 14549388.0, + "step": 6480 + }, + { + "entropy": 5.507199287414551, + "epoch": 7.010816657652786, + "grad_norm": 1.078125, + "learning_rate": 0.0001631940928391068, + "loss": 4.7129, + "mean_token_accuracy": 0.23249671310186387, + "num_tokens": 14561300.0, + "step": 6485 + }, + { + "entropy": 5.418299865722656, + "epoch": 7.016224986479178, + "grad_norm": 1.1328125, + "learning_rate": 0.00016282208076518032, + "loss": 4.6235, + "mean_token_accuracy": 0.24409482777118682, + "num_tokens": 14573169.0, + "step": 6490 + }, + { + "entropy": 5.460235691070556, + "epoch": 7.0216333153055706, + "grad_norm": 1.09375, + "learning_rate": 0.00016245047634607155, + "loss": 4.7435, + "mean_token_accuracy": 0.23163942545652388, + "num_tokens": 14585035.0, + "step": 6495 + }, + { + "entropy": 5.408029985427857, + "epoch": 7.027041644131963, + "grad_norm": 1.15625, + "learning_rate": 0.0001620792809321919, + "loss": 4.6479, + "mean_token_accuracy": 0.25236437320709226, + "num_tokens": 14596184.0, + "step": 6500 + }, + { + "epoch": 7.027041644131963, + "eval_entropy": 5.3447701345790515, + "eval_loss": 5.831712245941162, + "eval_mean_token_accuracy": 0.18428871013562786, + "eval_num_tokens": 14596184.0, + "eval_runtime": 3.5434, + "eval_samples_per_second": 991.978, + "eval_steps_per_second": 124.174, + "step": 6500 + }, + { + "entropy": 5.464370441436768, + "epoch": 7.032449972958356, + "grad_norm": 1.0625, + "learning_rate": 0.00016170849587246623, + "loss": 4.6636, + "mean_token_accuracy": 0.24691879898309707, + "num_tokens": 14606987.0, + "step": 6505 + }, + { + "entropy": 5.382754278182984, + "epoch": 7.037858301784748, + "grad_norm": 1.0859375, + "learning_rate": 0.00016133812251432826, + "loss": 4.6446, + "mean_token_accuracy": 0.24152851849794388, + "num_tokens": 14617600.0, + "step": 6510 + }, + { + "entropy": 5.545627021789551, + "epoch": 7.043266630611141, + "grad_norm": 1.140625, + "learning_rate": 0.0001609681622037159, + "loss": 4.8768, + "mean_token_accuracy": 0.23409285694360732, + "num_tokens": 14629551.0, + "step": 6515 + }, + { + "entropy": 5.513275575637818, + "epoch": 7.048674959437534, + "grad_norm": 0.9609375, + "learning_rate": 0.00016059861628506557, + "loss": 4.7503, + "mean_token_accuracy": 0.23408671617507934, + "num_tokens": 14641322.0, + "step": 6520 + }, + { + "entropy": 5.477088546752929, + "epoch": 7.054083288263927, + "grad_norm": 1.0078125, + "learning_rate": 0.00016022948610130804, + "loss": 4.6729, + "mean_token_accuracy": 0.24914150536060334, + "num_tokens": 14653380.0, + "step": 6525 + }, + { + "entropy": 5.466812229156494, + "epoch": 7.059491617090319, + "grad_norm": 1.140625, + "learning_rate": 0.0001598607729938632, + "loss": 4.6486, + "mean_token_accuracy": 0.24966771751642228, + "num_tokens": 14664043.0, + "step": 6530 + }, + { + "entropy": 5.344011831283569, + "epoch": 7.064899945916712, + "grad_norm": 1.078125, + "learning_rate": 0.00015949247830263538, + "loss": 4.5761, + "mean_token_accuracy": 0.2504953399300575, + "num_tokens": 14675117.0, + "step": 6535 + }, + { + "entropy": 5.410769510269165, + "epoch": 7.0703082747431045, + "grad_norm": 0.98828125, + "learning_rate": 0.00015912460336600838, + "loss": 4.6592, + "mean_token_accuracy": 0.24368593096733093, + "num_tokens": 14686908.0, + "step": 6540 + }, + { + "entropy": 5.454552125930786, + "epoch": 7.075716603569497, + "grad_norm": 1.1171875, + "learning_rate": 0.00015875714952084054, + "loss": 4.651, + "mean_token_accuracy": 0.23747905492782592, + "num_tokens": 14698997.0, + "step": 6545 + }, + { + "entropy": 5.482502889633179, + "epoch": 7.081124932395889, + "grad_norm": 1.125, + "learning_rate": 0.00015839011810245984, + "loss": 4.7622, + "mean_token_accuracy": 0.2314816802740097, + "num_tokens": 14709586.0, + "step": 6550 + }, + { + "entropy": 5.58815712928772, + "epoch": 7.086533261222282, + "grad_norm": 1.015625, + "learning_rate": 0.0001580235104446596, + "loss": 4.8083, + "mean_token_accuracy": 0.23637845516204833, + "num_tokens": 14720821.0, + "step": 6555 + }, + { + "entropy": 5.534481573104858, + "epoch": 7.091941590048675, + "grad_norm": 1.125, + "learning_rate": 0.00015765732787969267, + "loss": 4.7914, + "mean_token_accuracy": 0.2330068051815033, + "num_tokens": 14732218.0, + "step": 6560 + }, + { + "entropy": 5.500377082824707, + "epoch": 7.097349918875068, + "grad_norm": 1.125, + "learning_rate": 0.00015729157173826724, + "loss": 4.7649, + "mean_token_accuracy": 0.23969083726406099, + "num_tokens": 14742306.0, + "step": 6565 + }, + { + "entropy": 5.4900023460388185, + "epoch": 7.10275824770146, + "grad_norm": 1.1171875, + "learning_rate": 0.00015692624334954236, + "loss": 4.6786, + "mean_token_accuracy": 0.24366039633750916, + "num_tokens": 14752924.0, + "step": 6570 + }, + { + "entropy": 5.496832656860351, + "epoch": 7.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0001565613440411219, + "loss": 4.7231, + "mean_token_accuracy": 0.24004672914743425, + "num_tokens": 14764161.0, + "step": 6575 + }, + { + "entropy": 5.440928888320923, + "epoch": 7.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.0001561968751390509, + "loss": 4.6765, + "mean_token_accuracy": 0.24878692924976348, + "num_tokens": 14774520.0, + "step": 6580 + }, + { + "entropy": 5.453061580657959, + "epoch": 7.1189832341806385, + "grad_norm": 1.15625, + "learning_rate": 0.00015583283796781022, + "loss": 4.6932, + "mean_token_accuracy": 0.24243371188640594, + "num_tokens": 14785243.0, + "step": 6585 + }, + { + "entropy": 5.52647213935852, + "epoch": 7.1243915630070305, + "grad_norm": 1.171875, + "learning_rate": 0.00015546923385031169, + "loss": 4.7412, + "mean_token_accuracy": 0.23893113285303116, + "num_tokens": 14796152.0, + "step": 6590 + }, + { + "entropy": 5.4624011516571045, + "epoch": 7.129799891833423, + "grad_norm": 0.9296875, + "learning_rate": 0.00015510606410789368, + "loss": 4.6761, + "mean_token_accuracy": 0.24187866747379302, + "num_tokens": 14807849.0, + "step": 6595 + }, + { + "entropy": 5.4489339828491214, + "epoch": 7.135208220659816, + "grad_norm": 1.0234375, + "learning_rate": 0.0001547433300603157, + "loss": 4.7278, + "mean_token_accuracy": 0.23658954948186875, + "num_tokens": 14819402.0, + "step": 6600 + }, + { + "entropy": 5.519697618484497, + "epoch": 7.140616549486209, + "grad_norm": 0.97265625, + "learning_rate": 0.00015438103302575413, + "loss": 4.7809, + "mean_token_accuracy": 0.22943075448274614, + "num_tokens": 14831801.0, + "step": 6605 + }, + { + "entropy": 5.458428382873535, + "epoch": 7.146024878312601, + "grad_norm": 1.046875, + "learning_rate": 0.0001540191743207974, + "loss": 4.6665, + "mean_token_accuracy": 0.24807371944189072, + "num_tokens": 14842758.0, + "step": 6610 + }, + { + "entropy": 5.438600254058838, + "epoch": 7.151433207138994, + "grad_norm": 1.1484375, + "learning_rate": 0.0001536577552604407, + "loss": 4.6907, + "mean_token_accuracy": 0.24510224908590317, + "num_tokens": 14853493.0, + "step": 6615 + }, + { + "entropy": 5.459250783920288, + "epoch": 7.156841535965387, + "grad_norm": 1.0546875, + "learning_rate": 0.00015329677715808176, + "loss": 4.6939, + "mean_token_accuracy": 0.23562195599079133, + "num_tokens": 14863561.0, + "step": 6620 + }, + { + "entropy": 5.4494476318359375, + "epoch": 7.16224986479178, + "grad_norm": 1.0390625, + "learning_rate": 0.00015293624132551591, + "loss": 4.7133, + "mean_token_accuracy": 0.237583789229393, + "num_tokens": 14874501.0, + "step": 6625 + }, + { + "entropy": 5.418937349319458, + "epoch": 7.167658193618172, + "grad_norm": 1.1484375, + "learning_rate": 0.0001525761490729312, + "loss": 4.6094, + "mean_token_accuracy": 0.24090600162744522, + "num_tokens": 14885457.0, + "step": 6630 + }, + { + "entropy": 5.386363983154297, + "epoch": 7.173066522444564, + "grad_norm": 1.140625, + "learning_rate": 0.0001522165017089036, + "loss": 4.6538, + "mean_token_accuracy": 0.24340963810682298, + "num_tokens": 14895812.0, + "step": 6635 + }, + { + "entropy": 5.456580400466919, + "epoch": 7.178474851270957, + "grad_norm": 1.1484375, + "learning_rate": 0.00015185730054039266, + "loss": 4.6593, + "mean_token_accuracy": 0.2551399230957031, + "num_tokens": 14907367.0, + "step": 6640 + }, + { + "entropy": 5.359630060195923, + "epoch": 7.18388318009735, + "grad_norm": 1.0859375, + "learning_rate": 0.00015149854687273594, + "loss": 4.6462, + "mean_token_accuracy": 0.24483772069215776, + "num_tokens": 14918931.0, + "step": 6645 + }, + { + "entropy": 5.4493739128112795, + "epoch": 7.189291508923742, + "grad_norm": 1.203125, + "learning_rate": 0.0001511402420096455, + "loss": 4.6726, + "mean_token_accuracy": 0.24823494553565978, + "num_tokens": 14929518.0, + "step": 6650 + }, + { + "entropy": 5.420223188400269, + "epoch": 7.194699837750135, + "grad_norm": 1.0703125, + "learning_rate": 0.0001507823872532017, + "loss": 4.6215, + "mean_token_accuracy": 0.25121530294418337, + "num_tokens": 14940249.0, + "step": 6655 + }, + { + "entropy": 5.487333488464356, + "epoch": 7.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00015042498390384966, + "loss": 4.651, + "mean_token_accuracy": 0.2495026633143425, + "num_tokens": 14950645.0, + "step": 6660 + }, + { + "entropy": 5.48924765586853, + "epoch": 7.205516495402921, + "grad_norm": 1.1484375, + "learning_rate": 0.00015006803326039403, + "loss": 4.6803, + "mean_token_accuracy": 0.24450889825820923, + "num_tokens": 14961687.0, + "step": 6665 + }, + { + "entropy": 5.495927572250366, + "epoch": 7.210924824229313, + "grad_norm": 1.1328125, + "learning_rate": 0.00014971153661999425, + "loss": 4.7147, + "mean_token_accuracy": 0.23855119198560715, + "num_tokens": 14973119.0, + "step": 6670 + }, + { + "entropy": 5.49677472114563, + "epoch": 7.2163331530557056, + "grad_norm": 1.1015625, + "learning_rate": 0.0001493554952781599, + "loss": 4.7157, + "mean_token_accuracy": 0.2383064314723015, + "num_tokens": 14984826.0, + "step": 6675 + }, + { + "entropy": 5.433115148544312, + "epoch": 7.221741481882098, + "grad_norm": 1.1484375, + "learning_rate": 0.00014899991052874618, + "loss": 4.6384, + "mean_token_accuracy": 0.24932982623577118, + "num_tokens": 14996853.0, + "step": 6680 + }, + { + "entropy": 5.490801095962524, + "epoch": 7.227149810708491, + "grad_norm": 1.1171875, + "learning_rate": 0.00014864478366394853, + "loss": 4.723, + "mean_token_accuracy": 0.2382085368037224, + "num_tokens": 15006941.0, + "step": 6685 + }, + { + "entropy": 5.507191753387451, + "epoch": 7.232558139534884, + "grad_norm": 1.0234375, + "learning_rate": 0.0001482901159742992, + "loss": 4.7574, + "mean_token_accuracy": 0.23971456587314605, + "num_tokens": 15018477.0, + "step": 6690 + }, + { + "entropy": 5.495437908172607, + "epoch": 7.237966468361276, + "grad_norm": 1.078125, + "learning_rate": 0.0001479359087486613, + "loss": 4.7285, + "mean_token_accuracy": 0.24551907330751419, + "num_tokens": 15030454.0, + "step": 6695 + }, + { + "entropy": 5.439489364624023, + "epoch": 7.243374797187669, + "grad_norm": 1.1171875, + "learning_rate": 0.00014758216327422457, + "loss": 4.6662, + "mean_token_accuracy": 0.245236536860466, + "num_tokens": 15040662.0, + "step": 6700 + }, + { + "entropy": 5.4497535705566404, + "epoch": 7.248783126014062, + "grad_norm": 1.0859375, + "learning_rate": 0.00014722888083650094, + "loss": 4.7445, + "mean_token_accuracy": 0.23666218519210816, + "num_tokens": 15051414.0, + "step": 6705 + }, + { + "entropy": 5.429581880569458, + "epoch": 7.254191454840455, + "grad_norm": 1.09375, + "learning_rate": 0.00014687606271931961, + "loss": 4.6776, + "mean_token_accuracy": 0.24278885275125503, + "num_tokens": 15062563.0, + "step": 6710 + }, + { + "entropy": 5.483661127090454, + "epoch": 7.259599783666847, + "grad_norm": 1.1484375, + "learning_rate": 0.00014652371020482246, + "loss": 4.78, + "mean_token_accuracy": 0.2354867562651634, + "num_tokens": 15074443.0, + "step": 6715 + }, + { + "entropy": 5.4655379295349125, + "epoch": 7.2650081124932395, + "grad_norm": 1.09375, + "learning_rate": 0.0001461718245734594, + "loss": 4.6926, + "mean_token_accuracy": 0.2432758167386055, + "num_tokens": 15085920.0, + "step": 6720 + }, + { + "entropy": 5.451245069503784, + "epoch": 7.270416441319632, + "grad_norm": 1.1171875, + "learning_rate": 0.0001458204071039834, + "loss": 4.6462, + "mean_token_accuracy": 0.2515479028224945, + "num_tokens": 15096851.0, + "step": 6725 + }, + { + "entropy": 5.4489991664886475, + "epoch": 7.275824770146025, + "grad_norm": 0.99609375, + "learning_rate": 0.0001454694590734466, + "loss": 4.5771, + "mean_token_accuracy": 0.25787000358104706, + "num_tokens": 15107217.0, + "step": 6730 + }, + { + "entropy": 5.458311605453491, + "epoch": 7.281233098972417, + "grad_norm": 1.171875, + "learning_rate": 0.0001451189817571949, + "loss": 4.6624, + "mean_token_accuracy": 0.24796743094921112, + "num_tokens": 15117464.0, + "step": 6735 + }, + { + "entropy": 5.426720666885376, + "epoch": 7.28664142779881, + "grad_norm": 1.1015625, + "learning_rate": 0.00014476897642886355, + "loss": 4.6601, + "mean_token_accuracy": 0.2457870662212372, + "num_tokens": 15127801.0, + "step": 6740 + }, + { + "entropy": 5.524455165863037, + "epoch": 7.292049756625203, + "grad_norm": 1.1171875, + "learning_rate": 0.00014441944436037287, + "loss": 4.8401, + "mean_token_accuracy": 0.2326320692896843, + "num_tokens": 15139117.0, + "step": 6745 + }, + { + "entropy": 5.410741662979126, + "epoch": 7.297458085451596, + "grad_norm": 1.1640625, + "learning_rate": 0.00014407038682192312, + "loss": 4.7018, + "mean_token_accuracy": 0.23679485470056533, + "num_tokens": 15150205.0, + "step": 6750 + }, + { + "entropy": 5.4943968772888185, + "epoch": 7.302866414277988, + "grad_norm": 1.1640625, + "learning_rate": 0.0001437218050819902, + "loss": 4.7458, + "mean_token_accuracy": 0.23985870331525802, + "num_tokens": 15160813.0, + "step": 6755 + }, + { + "entropy": 5.4374031066894535, + "epoch": 7.308274743104381, + "grad_norm": 1.15625, + "learning_rate": 0.000143373700407321, + "loss": 4.6973, + "mean_token_accuracy": 0.23702437579631805, + "num_tokens": 15171609.0, + "step": 6760 + }, + { + "entropy": 5.454741048812866, + "epoch": 7.3136830719307735, + "grad_norm": 1.0859375, + "learning_rate": 0.00014302607406292873, + "loss": 4.6596, + "mean_token_accuracy": 0.2430892437696457, + "num_tokens": 15183030.0, + "step": 6765 + }, + { + "entropy": 5.472054719924927, + "epoch": 7.319091400757166, + "grad_norm": 1.234375, + "learning_rate": 0.00014267892731208826, + "loss": 4.7313, + "mean_token_accuracy": 0.2432381123304367, + "num_tokens": 15193365.0, + "step": 6770 + }, + { + "entropy": 5.426125717163086, + "epoch": 7.324499729583558, + "grad_norm": 1.0703125, + "learning_rate": 0.0001423322614163318, + "loss": 4.6888, + "mean_token_accuracy": 0.2341487318277359, + "num_tokens": 15205075.0, + "step": 6775 + }, + { + "entropy": 5.46237211227417, + "epoch": 7.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.00014198607763544392, + "loss": 4.7177, + "mean_token_accuracy": 0.2393790975213051, + "num_tokens": 15216655.0, + "step": 6780 + }, + { + "entropy": 5.436810684204102, + "epoch": 7.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.00014164037722745715, + "loss": 4.6884, + "mean_token_accuracy": 0.24960858076810838, + "num_tokens": 15228130.0, + "step": 6785 + }, + { + "entropy": 5.390351629257202, + "epoch": 7.340724716062737, + "grad_norm": 0.9609375, + "learning_rate": 0.0001412951614486479, + "loss": 4.6332, + "mean_token_accuracy": 0.24285543262958526, + "num_tokens": 15239019.0, + "step": 6790 + }, + { + "entropy": 5.483645868301392, + "epoch": 7.346133044889129, + "grad_norm": 1.0625, + "learning_rate": 0.00014095043155353085, + "loss": 4.7357, + "mean_token_accuracy": 0.23854799568653107, + "num_tokens": 15250325.0, + "step": 6795 + }, + { + "entropy": 5.4402210235595705, + "epoch": 7.351541373715522, + "grad_norm": 1.234375, + "learning_rate": 0.0001406061887948553, + "loss": 4.7688, + "mean_token_accuracy": 0.22925260066986083, + "num_tokens": 15261670.0, + "step": 6800 + }, + { + "entropy": 5.5303246021270756, + "epoch": 7.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.00014026243442360025, + "loss": 4.742, + "mean_token_accuracy": 0.2413437023758888, + "num_tokens": 15273660.0, + "step": 6805 + }, + { + "entropy": 5.464653587341308, + "epoch": 7.3623580313683075, + "grad_norm": 0.98046875, + "learning_rate": 0.0001399191696889699, + "loss": 4.6256, + "mean_token_accuracy": 0.2464908093214035, + "num_tokens": 15284593.0, + "step": 6810 + }, + { + "entropy": 5.448968410491943, + "epoch": 7.367766360194699, + "grad_norm": 1.0390625, + "learning_rate": 0.0001395763958383891, + "loss": 4.732, + "mean_token_accuracy": 0.23267947733402253, + "num_tokens": 15295860.0, + "step": 6815 + }, + { + "entropy": 5.386800622940063, + "epoch": 7.373174689021092, + "grad_norm": 1.140625, + "learning_rate": 0.0001392341141174987, + "loss": 4.6744, + "mean_token_accuracy": 0.2403596669435501, + "num_tokens": 15306718.0, + "step": 6820 + }, + { + "entropy": 5.456715679168701, + "epoch": 7.378583017847485, + "grad_norm": 0.984375, + "learning_rate": 0.00013889232577015125, + "loss": 4.6425, + "mean_token_accuracy": 0.24926920384168624, + "num_tokens": 15318213.0, + "step": 6825 + }, + { + "entropy": 5.4435365200042725, + "epoch": 7.383991346673878, + "grad_norm": 1.203125, + "learning_rate": 0.00013855103203840673, + "loss": 4.7027, + "mean_token_accuracy": 0.24004194885492325, + "num_tokens": 15328932.0, + "step": 6830 + }, + { + "entropy": 5.453626346588135, + "epoch": 7.38939967550027, + "grad_norm": 1.078125, + "learning_rate": 0.00013821023416252693, + "loss": 4.7246, + "mean_token_accuracy": 0.23861720710992812, + "num_tokens": 15340370.0, + "step": 6835 + }, + { + "entropy": 5.450275945663452, + "epoch": 7.394808004326663, + "grad_norm": 1.078125, + "learning_rate": 0.00013786993338097236, + "loss": 4.7441, + "mean_token_accuracy": 0.23446590304374695, + "num_tokens": 15351567.0, + "step": 6840 + }, + { + "entropy": 5.482220315933228, + "epoch": 7.400216333153056, + "grad_norm": 1.2265625, + "learning_rate": 0.00013753013093039673, + "loss": 4.6906, + "mean_token_accuracy": 0.24328313022851944, + "num_tokens": 15361945.0, + "step": 6845 + }, + { + "entropy": 5.375622081756592, + "epoch": 7.405624661979449, + "grad_norm": 0.9453125, + "learning_rate": 0.000137190828045643, + "loss": 4.6098, + "mean_token_accuracy": 0.24908155649900438, + "num_tokens": 15374267.0, + "step": 6850 + }, + { + "entropy": 5.38783860206604, + "epoch": 7.411032990805841, + "grad_norm": 1.1875, + "learning_rate": 0.00013685202595973861, + "loss": 4.6344, + "mean_token_accuracy": 0.2504056841135025, + "num_tokens": 15384323.0, + "step": 6855 + }, + { + "entropy": 5.458398628234863, + "epoch": 7.416441319632233, + "grad_norm": 1.03125, + "learning_rate": 0.00013651372590389122, + "loss": 4.6744, + "mean_token_accuracy": 0.23910631090402604, + "num_tokens": 15395034.0, + "step": 6860 + }, + { + "entropy": 5.509616470336914, + "epoch": 7.421849648458626, + "grad_norm": 1.1015625, + "learning_rate": 0.00013617592910748378, + "loss": 4.7472, + "mean_token_accuracy": 0.2403371140360832, + "num_tokens": 15405948.0, + "step": 6865 + }, + { + "entropy": 5.450651597976685, + "epoch": 7.427257977285019, + "grad_norm": 1.078125, + "learning_rate": 0.00013583863679807092, + "loss": 4.7383, + "mean_token_accuracy": 0.24283735305070878, + "num_tokens": 15417200.0, + "step": 6870 + }, + { + "entropy": 5.399878263473511, + "epoch": 7.432666306111411, + "grad_norm": 1.140625, + "learning_rate": 0.00013550185020137344, + "loss": 4.6714, + "mean_token_accuracy": 0.23909084647893905, + "num_tokens": 15428525.0, + "step": 6875 + }, + { + "entropy": 5.433660840988159, + "epoch": 7.438074634937804, + "grad_norm": 1.171875, + "learning_rate": 0.0001351655705412747, + "loss": 4.7263, + "mean_token_accuracy": 0.24089816063642502, + "num_tokens": 15440464.0, + "step": 6880 + }, + { + "entropy": 5.434780931472778, + "epoch": 7.443482963764197, + "grad_norm": 0.890625, + "learning_rate": 0.0001348297990398158, + "loss": 4.6652, + "mean_token_accuracy": 0.24440051168203353, + "num_tokens": 15452141.0, + "step": 6885 + }, + { + "entropy": 5.389398670196533, + "epoch": 7.44889129259059, + "grad_norm": 1.28125, + "learning_rate": 0.00013449453691719108, + "loss": 4.6366, + "mean_token_accuracy": 0.2456216871738434, + "num_tokens": 15463550.0, + "step": 6890 + }, + { + "entropy": 5.477556848526001, + "epoch": 7.4542996214169825, + "grad_norm": 1.1484375, + "learning_rate": 0.0001341597853917439, + "loss": 4.7464, + "mean_token_accuracy": 0.23704748153686522, + "num_tokens": 15475021.0, + "step": 6895 + }, + { + "entropy": 5.442272329330445, + "epoch": 7.4597079502433745, + "grad_norm": 1.1015625, + "learning_rate": 0.00013382554567996214, + "loss": 4.6938, + "mean_token_accuracy": 0.24450730830430983, + "num_tokens": 15486567.0, + "step": 6900 + }, + { + "entropy": 5.471250104904175, + "epoch": 7.465116279069767, + "grad_norm": 1.0703125, + "learning_rate": 0.00013349181899647346, + "loss": 4.7249, + "mean_token_accuracy": 0.23975735455751418, + "num_tokens": 15498133.0, + "step": 6905 + }, + { + "entropy": 5.447659826278686, + "epoch": 7.47052460789616, + "grad_norm": 1.046875, + "learning_rate": 0.00013315860655404167, + "loss": 4.7895, + "mean_token_accuracy": 0.23136132061481476, + "num_tokens": 15509723.0, + "step": 6910 + }, + { + "entropy": 5.456309413909912, + "epoch": 7.475932936722553, + "grad_norm": 1.078125, + "learning_rate": 0.0001328259095635615, + "loss": 4.7115, + "mean_token_accuracy": 0.23292717039585115, + "num_tokens": 15519590.0, + "step": 6915 + }, + { + "entropy": 5.4850624084472654, + "epoch": 7.481341265548945, + "grad_norm": 1.0703125, + "learning_rate": 0.0001324937292340545, + "loss": 4.7387, + "mean_token_accuracy": 0.23711150139570236, + "num_tokens": 15531112.0, + "step": 6920 + }, + { + "entropy": 5.4384623050689695, + "epoch": 7.486749594375338, + "grad_norm": 1.15625, + "learning_rate": 0.00013216206677266475, + "loss": 4.6405, + "mean_token_accuracy": 0.24470630288124084, + "num_tokens": 15541341.0, + "step": 6925 + }, + { + "entropy": 5.4840343475341795, + "epoch": 7.492157923201731, + "grad_norm": 1.1171875, + "learning_rate": 0.0001318309233846544, + "loss": 4.7422, + "mean_token_accuracy": 0.236113977432251, + "num_tokens": 15553025.0, + "step": 6930 + }, + { + "entropy": 5.563514947891235, + "epoch": 7.497566252028124, + "grad_norm": 1.1328125, + "learning_rate": 0.00013150030027339935, + "loss": 4.7686, + "mean_token_accuracy": 0.23476097285747527, + "num_tokens": 15563824.0, + "step": 6935 + }, + { + "entropy": 5.46577525138855, + "epoch": 7.502974580854516, + "grad_norm": 1.1796875, + "learning_rate": 0.00013117019864038483, + "loss": 4.7118, + "mean_token_accuracy": 0.24245630502700805, + "num_tokens": 15575129.0, + "step": 6940 + }, + { + "entropy": 5.415052223205566, + "epoch": 7.5083829096809085, + "grad_norm": 0.9453125, + "learning_rate": 0.00013084061968520063, + "loss": 4.675, + "mean_token_accuracy": 0.2389229193329811, + "num_tokens": 15586018.0, + "step": 6945 + }, + { + "entropy": 5.501877355575561, + "epoch": 7.513791238507301, + "grad_norm": 1.0546875, + "learning_rate": 0.00013051156460553776, + "loss": 4.8056, + "mean_token_accuracy": 0.2328426405787468, + "num_tokens": 15597062.0, + "step": 6950 + }, + { + "entropy": 5.530647611618042, + "epoch": 7.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.00013018303459718305, + "loss": 4.8664, + "mean_token_accuracy": 0.2271554872393608, + "num_tokens": 15608666.0, + "step": 6955 + }, + { + "entropy": 5.479798126220703, + "epoch": 7.524607896160086, + "grad_norm": 1.046875, + "learning_rate": 0.00012985503085401523, + "loss": 4.7171, + "mean_token_accuracy": 0.241233229637146, + "num_tokens": 15619764.0, + "step": 6960 + }, + { + "entropy": 5.508718585968017, + "epoch": 7.530016224986479, + "grad_norm": 1.0546875, + "learning_rate": 0.00012952755456800067, + "loss": 4.7602, + "mean_token_accuracy": 0.23189041912555694, + "num_tokens": 15631611.0, + "step": 6965 + }, + { + "entropy": 5.498543310165405, + "epoch": 7.535424553812872, + "grad_norm": 1.109375, + "learning_rate": 0.000129200606929189, + "loss": 4.7292, + "mean_token_accuracy": 0.24636310935020447, + "num_tokens": 15642392.0, + "step": 6970 + }, + { + "entropy": 5.480962038040161, + "epoch": 7.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.0001288741891257087, + "loss": 4.725, + "mean_token_accuracy": 0.2412426218390465, + "num_tokens": 15655304.0, + "step": 6975 + }, + { + "entropy": 5.409903812408447, + "epoch": 7.546241211465657, + "grad_norm": 1.0546875, + "learning_rate": 0.00012854830234376277, + "loss": 4.6985, + "mean_token_accuracy": 0.23944918811321259, + "num_tokens": 15666055.0, + "step": 6980 + }, + { + "entropy": 5.448230409622193, + "epoch": 7.55164954029205, + "grad_norm": 1.1171875, + "learning_rate": 0.0001282229477676246, + "loss": 4.7246, + "mean_token_accuracy": 0.2372318223118782, + "num_tokens": 15676287.0, + "step": 6985 + }, + { + "entropy": 5.526154470443726, + "epoch": 7.5570578691184425, + "grad_norm": 1.171875, + "learning_rate": 0.0001278981265796334, + "loss": 4.7988, + "mean_token_accuracy": 0.23436320722103118, + "num_tokens": 15687448.0, + "step": 6990 + }, + { + "entropy": 5.418953084945679, + "epoch": 7.562466197944835, + "grad_norm": 1.09375, + "learning_rate": 0.00012757383996019024, + "loss": 4.6595, + "mean_token_accuracy": 0.23905721604824065, + "num_tokens": 15698303.0, + "step": 6995 + }, + { + "entropy": 5.4294517993927, + "epoch": 7.567874526771227, + "grad_norm": 1.140625, + "learning_rate": 0.0001272500890877533, + "loss": 4.5963, + "mean_token_accuracy": 0.2506329596042633, + "num_tokens": 15708905.0, + "step": 7000 + }, + { + "epoch": 7.567874526771227, + "eval_entropy": 5.361298730156639, + "eval_loss": 5.836106300354004, + "eval_mean_token_accuracy": 0.18401451317424125, + "eval_num_tokens": 15708905.0, + "eval_runtime": 3.5384, + "eval_samples_per_second": 993.377, + "eval_steps_per_second": 124.349, + "step": 7000 + }, + { + "entropy": 5.410555648803711, + "epoch": 7.57328285559762, + "grad_norm": 1.1171875, + "learning_rate": 0.00012692687513883393, + "loss": 4.6628, + "mean_token_accuracy": 0.247932131588459, + "num_tokens": 15719394.0, + "step": 7005 + }, + { + "entropy": 5.488701438903808, + "epoch": 7.578691184424013, + "grad_norm": 1.1171875, + "learning_rate": 0.00012660419928799265, + "loss": 4.7425, + "mean_token_accuracy": 0.24454527497291564, + "num_tokens": 15729754.0, + "step": 7010 + }, + { + "entropy": 5.45831265449524, + "epoch": 7.584099513250406, + "grad_norm": 1.1015625, + "learning_rate": 0.00012628206270783404, + "loss": 4.7098, + "mean_token_accuracy": 0.24095088988542557, + "num_tokens": 15741194.0, + "step": 7015 + }, + { + "entropy": 5.4275898933410645, + "epoch": 7.589507842076799, + "grad_norm": 1.125, + "learning_rate": 0.00012596046656900323, + "loss": 4.6905, + "mean_token_accuracy": 0.25003129839897154, + "num_tokens": 15752594.0, + "step": 7020 + }, + { + "entropy": 5.448650074005127, + "epoch": 7.594916170903191, + "grad_norm": 1.0625, + "learning_rate": 0.0001256394120401813, + "loss": 4.7101, + "mean_token_accuracy": 0.24013070166110992, + "num_tokens": 15764121.0, + "step": 7025 + }, + { + "entropy": 5.455530309677124, + "epoch": 7.600324499729584, + "grad_norm": 1.03125, + "learning_rate": 0.00012531890028808122, + "loss": 4.6706, + "mean_token_accuracy": 0.24022805839776992, + "num_tokens": 15775842.0, + "step": 7030 + }, + { + "entropy": 5.462522268295288, + "epoch": 7.605732828555976, + "grad_norm": 1.21875, + "learning_rate": 0.0001249989324774434, + "loss": 4.6204, + "mean_token_accuracy": 0.24893483370542527, + "num_tokens": 15787663.0, + "step": 7035 + }, + { + "entropy": 5.4826967239379885, + "epoch": 7.611141157382368, + "grad_norm": 1.09375, + "learning_rate": 0.00012467950977103158, + "loss": 4.6754, + "mean_token_accuracy": 0.23806458562612534, + "num_tokens": 15799675.0, + "step": 7040 + }, + { + "entropy": 5.448901271820068, + "epoch": 7.616549486208761, + "grad_norm": 1.03125, + "learning_rate": 0.00012436063332962852, + "loss": 4.7347, + "mean_token_accuracy": 0.23882138431072236, + "num_tokens": 15810772.0, + "step": 7045 + }, + { + "entropy": 5.473357391357422, + "epoch": 7.621957815035154, + "grad_norm": 1.0859375, + "learning_rate": 0.00012404230431203227, + "loss": 4.7761, + "mean_token_accuracy": 0.2378004312515259, + "num_tokens": 15823711.0, + "step": 7050 + }, + { + "entropy": 5.415027236938476, + "epoch": 7.627366143861547, + "grad_norm": 1.1328125, + "learning_rate": 0.00012372452387505087, + "loss": 4.6382, + "mean_token_accuracy": 0.24569786489009857, + "num_tokens": 15834603.0, + "step": 7055 + }, + { + "entropy": 5.376887321472168, + "epoch": 7.63277447268794, + "grad_norm": 1.0, + "learning_rate": 0.0001234072931734993, + "loss": 4.6471, + "mean_token_accuracy": 0.2411333292722702, + "num_tokens": 15846238.0, + "step": 7060 + }, + { + "entropy": 5.524644470214843, + "epoch": 7.638182801514332, + "grad_norm": 1.0078125, + "learning_rate": 0.00012309061336019465, + "loss": 4.8, + "mean_token_accuracy": 0.22993574738502504, + "num_tokens": 15858560.0, + "step": 7065 + }, + { + "entropy": 5.416137933731079, + "epoch": 7.643591130340725, + "grad_norm": 1.03125, + "learning_rate": 0.00012277448558595212, + "loss": 4.6533, + "mean_token_accuracy": 0.2425800859928131, + "num_tokens": 15870624.0, + "step": 7070 + }, + { + "entropy": 5.454917049407959, + "epoch": 7.6489994591671175, + "grad_norm": 1.09375, + "learning_rate": 0.00012245891099958074, + "loss": 4.6744, + "mean_token_accuracy": 0.24045936465263368, + "num_tokens": 15881199.0, + "step": 7075 + }, + { + "entropy": 5.495878791809082, + "epoch": 7.6544077879935095, + "grad_norm": 1.0546875, + "learning_rate": 0.0001221438907478793, + "loss": 4.7903, + "mean_token_accuracy": 0.23239711970090865, + "num_tokens": 15893270.0, + "step": 7080 + }, + { + "entropy": 5.421728515625, + "epoch": 7.659816116819902, + "grad_norm": 1.09375, + "learning_rate": 0.00012182942597563213, + "loss": 4.6349, + "mean_token_accuracy": 0.24187428802251815, + "num_tokens": 15904509.0, + "step": 7085 + }, + { + "entropy": 5.419718074798584, + "epoch": 7.665224445646295, + "grad_norm": 1.203125, + "learning_rate": 0.00012151551782560499, + "loss": 4.6072, + "mean_token_accuracy": 0.2526846662163734, + "num_tokens": 15914913.0, + "step": 7090 + }, + { + "entropy": 5.489346218109131, + "epoch": 7.670632774472688, + "grad_norm": 1.171875, + "learning_rate": 0.00012120216743854068, + "loss": 4.7075, + "mean_token_accuracy": 0.24569393545389176, + "num_tokens": 15925742.0, + "step": 7095 + }, + { + "entropy": 5.388180208206177, + "epoch": 7.676041103299081, + "grad_norm": 1.03125, + "learning_rate": 0.00012088937595315525, + "loss": 4.6899, + "mean_token_accuracy": 0.24826941937208175, + "num_tokens": 15936165.0, + "step": 7100 + }, + { + "entropy": 5.413707208633423, + "epoch": 7.681449432125473, + "grad_norm": 1.1484375, + "learning_rate": 0.0001205771445061339, + "loss": 4.7469, + "mean_token_accuracy": 0.23956471979618071, + "num_tokens": 15948570.0, + "step": 7105 + }, + { + "entropy": 5.4949205875396725, + "epoch": 7.686857760951866, + "grad_norm": 1.015625, + "learning_rate": 0.0001202654742321262, + "loss": 4.7265, + "mean_token_accuracy": 0.23922350108623505, + "num_tokens": 15959890.0, + "step": 7110 + }, + { + "entropy": 5.452880001068115, + "epoch": 7.692266089778259, + "grad_norm": 1.1796875, + "learning_rate": 0.00011995436626374272, + "loss": 4.673, + "mean_token_accuracy": 0.24784787148237228, + "num_tokens": 15970632.0, + "step": 7115 + }, + { + "entropy": 5.416787195205688, + "epoch": 7.6976744186046515, + "grad_norm": 1.25, + "learning_rate": 0.00011964382173155053, + "loss": 4.6689, + "mean_token_accuracy": 0.2400309830904007, + "num_tokens": 15981352.0, + "step": 7120 + }, + { + "entropy": 5.4355627536773685, + "epoch": 7.7030827474310435, + "grad_norm": 1.234375, + "learning_rate": 0.00011933384176406915, + "loss": 4.646, + "mean_token_accuracy": 0.2374104455113411, + "num_tokens": 15991619.0, + "step": 7125 + }, + { + "entropy": 5.429497241973877, + "epoch": 7.708491076257436, + "grad_norm": 1.125, + "learning_rate": 0.0001190244274877666, + "loss": 4.6864, + "mean_token_accuracy": 0.2413660168647766, + "num_tokens": 16001588.0, + "step": 7130 + }, + { + "entropy": 5.494664478302002, + "epoch": 7.713899405083829, + "grad_norm": 1.0390625, + "learning_rate": 0.00011871558002705501, + "loss": 4.7115, + "mean_token_accuracy": 0.24696183651685716, + "num_tokens": 16013230.0, + "step": 7135 + }, + { + "entropy": 5.471933650970459, + "epoch": 7.719307733910222, + "grad_norm": 1.0703125, + "learning_rate": 0.00011840730050428666, + "loss": 4.7204, + "mean_token_accuracy": 0.2421387568116188, + "num_tokens": 16024310.0, + "step": 7140 + }, + { + "entropy": 5.53667459487915, + "epoch": 7.724716062736614, + "grad_norm": 1.1796875, + "learning_rate": 0.0001180995900397503, + "loss": 4.77, + "mean_token_accuracy": 0.24355804920196533, + "num_tokens": 16035188.0, + "step": 7145 + }, + { + "entropy": 5.480495023727417, + "epoch": 7.730124391563007, + "grad_norm": 1.1953125, + "learning_rate": 0.00011779244975166623, + "loss": 4.7301, + "mean_token_accuracy": 0.24054988771677016, + "num_tokens": 16046354.0, + "step": 7150 + }, + { + "entropy": 5.426711893081665, + "epoch": 7.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00011748588075618305, + "loss": 4.7118, + "mean_token_accuracy": 0.24877999126911163, + "num_tokens": 16056809.0, + "step": 7155 + }, + { + "entropy": 5.4671995639801025, + "epoch": 7.740941049215793, + "grad_norm": 1.21875, + "learning_rate": 0.00011717988416737322, + "loss": 4.7184, + "mean_token_accuracy": 0.24492209553718566, + "num_tokens": 16067440.0, + "step": 7160 + }, + { + "entropy": 5.4140464782714846, + "epoch": 7.746349378042185, + "grad_norm": 1.0625, + "learning_rate": 0.00011687446109722904, + "loss": 4.6476, + "mean_token_accuracy": 0.24424516260623932, + "num_tokens": 16078126.0, + "step": 7165 + }, + { + "entropy": 5.456424331665039, + "epoch": 7.7517577068685775, + "grad_norm": 1.0625, + "learning_rate": 0.00011656961265565864, + "loss": 4.7301, + "mean_token_accuracy": 0.24294260144233704, + "num_tokens": 16090823.0, + "step": 7170 + }, + { + "entropy": 5.463951253890992, + "epoch": 7.75716603569497, + "grad_norm": 1.015625, + "learning_rate": 0.00011626533995048204, + "loss": 4.67, + "mean_token_accuracy": 0.24340787380933762, + "num_tokens": 16102544.0, + "step": 7175 + }, + { + "entropy": 5.5464982986450195, + "epoch": 7.762574364521363, + "grad_norm": 1.1875, + "learning_rate": 0.00011596164408742675, + "loss": 4.8036, + "mean_token_accuracy": 0.2365711435675621, + "num_tokens": 16113573.0, + "step": 7180 + }, + { + "entropy": 5.379365015029907, + "epoch": 7.767982693347756, + "grad_norm": 1.1328125, + "learning_rate": 0.00011565852617012452, + "loss": 4.6496, + "mean_token_accuracy": 0.24278265684843064, + "num_tokens": 16124999.0, + "step": 7185 + }, + { + "entropy": 5.405616998672485, + "epoch": 7.773391022174148, + "grad_norm": 1.1171875, + "learning_rate": 0.00011535598730010633, + "loss": 4.6691, + "mean_token_accuracy": 0.2426201358437538, + "num_tokens": 16134941.0, + "step": 7190 + }, + { + "entropy": 5.482621383666992, + "epoch": 7.778799351000541, + "grad_norm": 1.0859375, + "learning_rate": 0.00011505402857679921, + "loss": 4.6785, + "mean_token_accuracy": 0.24790813624858857, + "num_tokens": 16146336.0, + "step": 7195 + }, + { + "entropy": 5.498623847961426, + "epoch": 7.784207679826934, + "grad_norm": 1.0546875, + "learning_rate": 0.00011475265109752187, + "loss": 4.7665, + "mean_token_accuracy": 0.2398320570588112, + "num_tokens": 16158539.0, + "step": 7200 + }, + { + "entropy": 5.464281845092773, + "epoch": 7.789616008653326, + "grad_norm": 1.125, + "learning_rate": 0.00011445185595748074, + "loss": 4.7972, + "mean_token_accuracy": 0.2307965487241745, + "num_tokens": 16170878.0, + "step": 7205 + }, + { + "entropy": 5.391339731216431, + "epoch": 7.795024337479719, + "grad_norm": 1.1484375, + "learning_rate": 0.0001141516442497661, + "loss": 4.6314, + "mean_token_accuracy": 0.23817023634910583, + "num_tokens": 16182076.0, + "step": 7210 + }, + { + "entropy": 5.396452331542969, + "epoch": 7.800432666306111, + "grad_norm": 1.078125, + "learning_rate": 0.00011385201706534803, + "loss": 4.6701, + "mean_token_accuracy": 0.24000394940376282, + "num_tokens": 16192850.0, + "step": 7215 + }, + { + "entropy": 5.375637197494507, + "epoch": 7.805840995132504, + "grad_norm": 1.09375, + "learning_rate": 0.0001135529754930722, + "loss": 4.6392, + "mean_token_accuracy": 0.24287021309137344, + "num_tokens": 16204118.0, + "step": 7220 + }, + { + "entropy": 5.557591438293457, + "epoch": 7.811249323958897, + "grad_norm": 1.1171875, + "learning_rate": 0.00011325452061965662, + "loss": 4.7428, + "mean_token_accuracy": 0.23815116435289382, + "num_tokens": 16215513.0, + "step": 7225 + }, + { + "entropy": 5.451365947723389, + "epoch": 7.816657652785289, + "grad_norm": 1.1796875, + "learning_rate": 0.00011295665352968692, + "loss": 4.7363, + "mean_token_accuracy": 0.23681218177080154, + "num_tokens": 16228169.0, + "step": 7230 + }, + { + "entropy": 5.480658626556396, + "epoch": 7.822065981611682, + "grad_norm": 1.234375, + "learning_rate": 0.00011265937530561271, + "loss": 4.6689, + "mean_token_accuracy": 0.2397017553448677, + "num_tokens": 16239200.0, + "step": 7235 + }, + { + "entropy": 5.530086040496826, + "epoch": 7.827474310438075, + "grad_norm": 1.1328125, + "learning_rate": 0.00011236268702774377, + "loss": 4.7757, + "mean_token_accuracy": 0.23204438984394074, + "num_tokens": 16250979.0, + "step": 7240 + }, + { + "entropy": 5.450435733795166, + "epoch": 7.832882639264467, + "grad_norm": 1.1796875, + "learning_rate": 0.00011206658977424605, + "loss": 4.693, + "mean_token_accuracy": 0.2333730399608612, + "num_tokens": 16262103.0, + "step": 7245 + }, + { + "entropy": 5.4131334781646725, + "epoch": 7.83829096809086, + "grad_norm": 1.1015625, + "learning_rate": 0.00011177108462113761, + "loss": 4.6902, + "mean_token_accuracy": 0.24078061431646347, + "num_tokens": 16272948.0, + "step": 7250 + }, + { + "entropy": 5.436950731277466, + "epoch": 7.8436992969172525, + "grad_norm": 1.1328125, + "learning_rate": 0.00011147617264228491, + "loss": 4.6133, + "mean_token_accuracy": 0.2494473084807396, + "num_tokens": 16283180.0, + "step": 7255 + }, + { + "entropy": 5.441599941253662, + "epoch": 7.849107625743645, + "grad_norm": 1.0703125, + "learning_rate": 0.00011118185490939861, + "loss": 4.6331, + "mean_token_accuracy": 0.251367150247097, + "num_tokens": 16294886.0, + "step": 7260 + }, + { + "entropy": 5.464648628234864, + "epoch": 7.854515954570038, + "grad_norm": 1.1171875, + "learning_rate": 0.00011088813249203019, + "loss": 4.6634, + "mean_token_accuracy": 0.25127213448286057, + "num_tokens": 16305979.0, + "step": 7265 + }, + { + "entropy": 5.401372051239013, + "epoch": 7.85992428339643, + "grad_norm": 0.9609375, + "learning_rate": 0.00011059500645756762, + "loss": 4.6638, + "mean_token_accuracy": 0.23800498843193055, + "num_tokens": 16318645.0, + "step": 7270 + }, + { + "entropy": 5.375847434997558, + "epoch": 7.865332612222823, + "grad_norm": 1.109375, + "learning_rate": 0.00011030247787123147, + "loss": 4.6428, + "mean_token_accuracy": 0.24710031747817993, + "num_tokens": 16329907.0, + "step": 7275 + }, + { + "entropy": 5.449215126037598, + "epoch": 7.870740941049216, + "grad_norm": 1.1015625, + "learning_rate": 0.00011001054779607121, + "loss": 4.7858, + "mean_token_accuracy": 0.2368557870388031, + "num_tokens": 16342531.0, + "step": 7280 + }, + { + "entropy": 5.461852312088013, + "epoch": 7.876149269875609, + "grad_norm": 1.171875, + "learning_rate": 0.00010971921729296172, + "loss": 4.6284, + "mean_token_accuracy": 0.2432481676340103, + "num_tokens": 16355394.0, + "step": 7285 + }, + { + "entropy": 5.381710481643677, + "epoch": 7.881557598702001, + "grad_norm": 1.15625, + "learning_rate": 0.00010942848742059845, + "loss": 4.5176, + "mean_token_accuracy": 0.26522424519062043, + "num_tokens": 16366049.0, + "step": 7290 + }, + { + "entropy": 5.439858341217041, + "epoch": 7.886965927528394, + "grad_norm": 1.0, + "learning_rate": 0.00010913835923549453, + "loss": 4.6763, + "mean_token_accuracy": 0.24100939333438873, + "num_tokens": 16378597.0, + "step": 7295 + }, + { + "entropy": 5.507377433776855, + "epoch": 7.8923742563547865, + "grad_norm": 1.046875, + "learning_rate": 0.00010884883379197643, + "loss": 4.8337, + "mean_token_accuracy": 0.2296651244163513, + "num_tokens": 16391417.0, + "step": 7300 + }, + { + "entropy": 5.442261743545532, + "epoch": 7.897782585181179, + "grad_norm": 1.1484375, + "learning_rate": 0.00010855991214218028, + "loss": 4.6895, + "mean_token_accuracy": 0.24659370332956315, + "num_tokens": 16402188.0, + "step": 7305 + }, + { + "entropy": 5.4488245964050295, + "epoch": 7.903190914007571, + "grad_norm": 1.1015625, + "learning_rate": 0.00010827159533604814, + "loss": 4.7273, + "mean_token_accuracy": 0.24307797700166703, + "num_tokens": 16415124.0, + "step": 7310 + }, + { + "entropy": 5.47108826637268, + "epoch": 7.908599242833964, + "grad_norm": 1.0234375, + "learning_rate": 0.00010798388442132375, + "loss": 4.726, + "mean_token_accuracy": 0.23914463967084884, + "num_tokens": 16426536.0, + "step": 7315 + }, + { + "entropy": 5.472820854187011, + "epoch": 7.914007571660357, + "grad_norm": 1.0703125, + "learning_rate": 0.00010769678044354927, + "loss": 4.6824, + "mean_token_accuracy": 0.24461480379104614, + "num_tokens": 16438417.0, + "step": 7320 + }, + { + "entropy": 5.444475698471069, + "epoch": 7.91941590048675, + "grad_norm": 1.15625, + "learning_rate": 0.00010741028444606141, + "loss": 4.6947, + "mean_token_accuracy": 0.23717159330844878, + "num_tokens": 16449271.0, + "step": 7325 + }, + { + "entropy": 5.5423647403717045, + "epoch": 7.924824229313142, + "grad_norm": 1.0390625, + "learning_rate": 0.00010712439746998711, + "loss": 4.7897, + "mean_token_accuracy": 0.23704513907432556, + "num_tokens": 16460387.0, + "step": 7330 + }, + { + "entropy": 5.444651031494141, + "epoch": 7.930232558139535, + "grad_norm": 1.1875, + "learning_rate": 0.00010683912055424036, + "loss": 4.6753, + "mean_token_accuracy": 0.24380592852830887, + "num_tokens": 16471262.0, + "step": 7335 + }, + { + "entropy": 5.476079893112183, + "epoch": 7.935640886965928, + "grad_norm": 1.1328125, + "learning_rate": 0.00010655445473551809, + "loss": 4.717, + "mean_token_accuracy": 0.2410126581788063, + "num_tokens": 16482605.0, + "step": 7340 + }, + { + "entropy": 5.527096271514893, + "epoch": 7.9410492157923205, + "grad_norm": 1.0078125, + "learning_rate": 0.00010627040104829658, + "loss": 4.8036, + "mean_token_accuracy": 0.2348283812403679, + "num_tokens": 16493951.0, + "step": 7345 + }, + { + "entropy": 5.456842517852783, + "epoch": 7.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00010598696052482759, + "loss": 4.6976, + "mean_token_accuracy": 0.24492332637310027, + "num_tokens": 16506236.0, + "step": 7350 + }, + { + "entropy": 5.3653977394104, + "epoch": 7.951865873445105, + "grad_norm": 1.1953125, + "learning_rate": 0.0001057041341951347, + "loss": 4.5836, + "mean_token_accuracy": 0.25700664669275286, + "num_tokens": 16518339.0, + "step": 7355 + }, + { + "entropy": 5.5039787769317625, + "epoch": 7.957274202271498, + "grad_norm": 1.109375, + "learning_rate": 0.00010542192308700925, + "loss": 4.696, + "mean_token_accuracy": 0.23916687071323395, + "num_tokens": 16528733.0, + "step": 7360 + }, + { + "entropy": 5.485801410675049, + "epoch": 7.962682531097891, + "grad_norm": 1.0078125, + "learning_rate": 0.00010514032822600733, + "loss": 4.7267, + "mean_token_accuracy": 0.2381901979446411, + "num_tokens": 16540776.0, + "step": 7365 + }, + { + "entropy": 5.451934957504273, + "epoch": 7.968090859924283, + "grad_norm": 1.046875, + "learning_rate": 0.00010485935063544507, + "loss": 4.689, + "mean_token_accuracy": 0.24322576075792313, + "num_tokens": 16550818.0, + "step": 7370 + }, + { + "entropy": 5.453809833526611, + "epoch": 7.973499188750676, + "grad_norm": 1.203125, + "learning_rate": 0.00010457899133639579, + "loss": 4.6948, + "mean_token_accuracy": 0.2377357676625252, + "num_tokens": 16561791.0, + "step": 7375 + }, + { + "entropy": 5.454491090774536, + "epoch": 7.978907517577069, + "grad_norm": 1.015625, + "learning_rate": 0.00010429925134768584, + "loss": 4.7094, + "mean_token_accuracy": 0.24362270534038544, + "num_tokens": 16573360.0, + "step": 7380 + }, + { + "entropy": 5.455304384231567, + "epoch": 7.984315846403462, + "grad_norm": 1.109375, + "learning_rate": 0.00010402013168589092, + "loss": 4.6871, + "mean_token_accuracy": 0.24073503017425538, + "num_tokens": 16584061.0, + "step": 7385 + }, + { + "entropy": 5.498722267150879, + "epoch": 7.9897241752298545, + "grad_norm": 1.1953125, + "learning_rate": 0.00010374163336533261, + "loss": 4.7115, + "mean_token_accuracy": 0.24242723137140273, + "num_tokens": 16594178.0, + "step": 7390 + }, + { + "entropy": 5.465503931045532, + "epoch": 7.995132504056246, + "grad_norm": 1.0625, + "learning_rate": 0.00010346375739807448, + "loss": 4.7691, + "mean_token_accuracy": 0.23564232885837555, + "num_tokens": 16605577.0, + "step": 7395 + }, + { + "entropy": 5.464390542772081, + "epoch": 8.0, + "grad_norm": 1.7578125, + "learning_rate": 0.00010318650479391825, + "loss": 4.9279, + "mean_token_accuracy": 0.2289217991961373, + "num_tokens": 16615112.0, + "step": 7400 + }, + { + "entropy": 5.47802357673645, + "epoch": 8.005408328826393, + "grad_norm": 1.1015625, + "learning_rate": 0.00010290987656040076, + "loss": 4.6055, + "mean_token_accuracy": 0.250070184469223, + "num_tokens": 16625050.0, + "step": 7405 + }, + { + "entropy": 5.419842958450317, + "epoch": 8.010816657652786, + "grad_norm": 1.0234375, + "learning_rate": 0.00010263387370278948, + "loss": 4.6823, + "mean_token_accuracy": 0.24250650703907012, + "num_tokens": 16636536.0, + "step": 7410 + }, + { + "entropy": 5.510037469863891, + "epoch": 8.016224986479179, + "grad_norm": 1.046875, + "learning_rate": 0.0001023584972240795, + "loss": 4.6833, + "mean_token_accuracy": 0.2475518226623535, + "num_tokens": 16647439.0, + "step": 7415 + }, + { + "entropy": 5.482249116897583, + "epoch": 8.021633315305571, + "grad_norm": 0.9765625, + "learning_rate": 0.00010208374812498955, + "loss": 4.6558, + "mean_token_accuracy": 0.24430694729089736, + "num_tokens": 16659778.0, + "step": 7420 + }, + { + "entropy": 5.473934984207153, + "epoch": 8.027041644131963, + "grad_norm": 1.09375, + "learning_rate": 0.00010180962740395853, + "loss": 4.6552, + "mean_token_accuracy": 0.24364316910505296, + "num_tokens": 16671095.0, + "step": 7425 + }, + { + "entropy": 5.4153577327728275, + "epoch": 8.032449972958355, + "grad_norm": 1.1953125, + "learning_rate": 0.00010153613605714173, + "loss": 4.5976, + "mean_token_accuracy": 0.24691200405359268, + "num_tokens": 16682401.0, + "step": 7430 + }, + { + "entropy": 5.469314336776733, + "epoch": 8.037858301784748, + "grad_norm": 1.109375, + "learning_rate": 0.00010126327507840744, + "loss": 4.6506, + "mean_token_accuracy": 0.252379909157753, + "num_tokens": 16692606.0, + "step": 7435 + }, + { + "entropy": 5.410546731948853, + "epoch": 8.043266630611141, + "grad_norm": 1.1328125, + "learning_rate": 0.00010099104545933288, + "loss": 4.5712, + "mean_token_accuracy": 0.25820337384939196, + "num_tokens": 16704771.0, + "step": 7440 + }, + { + "entropy": 5.384668970108033, + "epoch": 8.048674959437534, + "grad_norm": 0.9375, + "learning_rate": 0.00010071944818920127, + "loss": 4.6552, + "mean_token_accuracy": 0.24849636107683182, + "num_tokens": 16717512.0, + "step": 7445 + }, + { + "entropy": 5.443715047836304, + "epoch": 8.054083288263927, + "grad_norm": 0.98046875, + "learning_rate": 0.0001004484842549978, + "loss": 4.6667, + "mean_token_accuracy": 0.24980415850877763, + "num_tokens": 16729457.0, + "step": 7450 + }, + { + "entropy": 5.450451183319092, + "epoch": 8.05949161709032, + "grad_norm": 1.0625, + "learning_rate": 0.00010017815464140583, + "loss": 4.6362, + "mean_token_accuracy": 0.25708851516246795, + "num_tokens": 16741195.0, + "step": 7455 + }, + { + "entropy": 5.417760133743286, + "epoch": 8.064899945916713, + "grad_norm": 1.1640625, + "learning_rate": 9.990846033080389e-05, + "loss": 4.6228, + "mean_token_accuracy": 0.2414257511496544, + "num_tokens": 16752261.0, + "step": 7460 + }, + { + "entropy": 5.442473030090332, + "epoch": 8.070308274743104, + "grad_norm": 1.1953125, + "learning_rate": 9.963940230326176e-05, + "loss": 4.6233, + "mean_token_accuracy": 0.26104655861854553, + "num_tokens": 16763492.0, + "step": 7465 + }, + { + "entropy": 5.4000101566314695, + "epoch": 8.075716603569496, + "grad_norm": 1.0703125, + "learning_rate": 9.937098153653687e-05, + "loss": 4.6045, + "mean_token_accuracy": 0.2507203996181488, + "num_tokens": 16775218.0, + "step": 7470 + }, + { + "entropy": 5.359610509872437, + "epoch": 8.08112493239589, + "grad_norm": 1.078125, + "learning_rate": 9.910319900607104e-05, + "loss": 4.5564, + "mean_token_accuracy": 0.24946845918893815, + "num_tokens": 16786589.0, + "step": 7475 + }, + { + "entropy": 5.432454395294189, + "epoch": 8.086533261222282, + "grad_norm": 1.046875, + "learning_rate": 9.883605568498635e-05, + "loss": 4.5938, + "mean_token_accuracy": 0.25214662700891494, + "num_tokens": 16798308.0, + "step": 7480 + }, + { + "entropy": 5.478470659255981, + "epoch": 8.091941590048675, + "grad_norm": 1.046875, + "learning_rate": 9.856955254408248e-05, + "loss": 4.7026, + "mean_token_accuracy": 0.24253612458705903, + "num_tokens": 16810039.0, + "step": 7485 + }, + { + "entropy": 5.3934972286224365, + "epoch": 8.097349918875068, + "grad_norm": 1.1796875, + "learning_rate": 9.830369055183244e-05, + "loss": 4.6452, + "mean_token_accuracy": 0.24484411627054214, + "num_tokens": 16820571.0, + "step": 7490 + }, + { + "entropy": 5.449046611785889, + "epoch": 8.10275824770146, + "grad_norm": 1.1640625, + "learning_rate": 9.80384706743792e-05, + "loss": 4.625, + "mean_token_accuracy": 0.24314706325531005, + "num_tokens": 16831165.0, + "step": 7495 + }, + { + "entropy": 5.5349438190460205, + "epoch": 8.108166576527854, + "grad_norm": 1.0625, + "learning_rate": 9.777389387553243e-05, + "loss": 4.7445, + "mean_token_accuracy": 0.23332213163375853, + "num_tokens": 16842599.0, + "step": 7500 + }, + { + "epoch": 8.108166576527854, + "eval_entropy": 5.340487690405412, + "eval_loss": 5.837372303009033, + "eval_mean_token_accuracy": 0.18408739008009434, + "eval_num_tokens": 16842599.0, + "eval_runtime": 3.5461, + "eval_samples_per_second": 991.217, + "eval_steps_per_second": 124.078, + "step": 7500 + }, + { + "entropy": 5.510523986816406, + "epoch": 8.113574905354245, + "grad_norm": 1.1171875, + "learning_rate": 9.750996111676497e-05, + "loss": 4.7427, + "mean_token_accuracy": 0.24279462695121765, + "num_tokens": 16854408.0, + "step": 7505 + }, + { + "entropy": 5.551241254806518, + "epoch": 8.118983234180638, + "grad_norm": 1.203125, + "learning_rate": 9.724667335720894e-05, + "loss": 4.7255, + "mean_token_accuracy": 0.24231787472963334, + "num_tokens": 16865662.0, + "step": 7510 + }, + { + "entropy": 5.5055968284606935, + "epoch": 8.12439156300703, + "grad_norm": 1.125, + "learning_rate": 9.698403155365268e-05, + "loss": 4.6819, + "mean_token_accuracy": 0.250739324092865, + "num_tokens": 16876621.0, + "step": 7515 + }, + { + "entropy": 5.438814687728882, + "epoch": 8.129799891833423, + "grad_norm": 1.0234375, + "learning_rate": 9.672203666053714e-05, + "loss": 4.6423, + "mean_token_accuracy": 0.24598823934793473, + "num_tokens": 16888989.0, + "step": 7520 + }, + { + "entropy": 5.513745975494385, + "epoch": 8.135208220659816, + "grad_norm": 1.1484375, + "learning_rate": 9.646068962995235e-05, + "loss": 4.7414, + "mean_token_accuracy": 0.23878957331180573, + "num_tokens": 16900153.0, + "step": 7525 + }, + { + "entropy": 5.413127660751343, + "epoch": 8.140616549486209, + "grad_norm": 0.9609375, + "learning_rate": 9.619999141163415e-05, + "loss": 4.7135, + "mean_token_accuracy": 0.2399488776922226, + "num_tokens": 16913304.0, + "step": 7530 + }, + { + "entropy": 5.470810413360596, + "epoch": 8.146024878312602, + "grad_norm": 1.046875, + "learning_rate": 9.593994295296024e-05, + "loss": 4.6999, + "mean_token_accuracy": 0.2426486998796463, + "num_tokens": 16925050.0, + "step": 7535 + }, + { + "entropy": 5.3831323146820065, + "epoch": 8.151433207138995, + "grad_norm": 1.1953125, + "learning_rate": 9.56805451989474e-05, + "loss": 4.6595, + "mean_token_accuracy": 0.2414674863219261, + "num_tokens": 16935940.0, + "step": 7540 + }, + { + "entropy": 5.490802860260009, + "epoch": 8.156841535965386, + "grad_norm": 1.1171875, + "learning_rate": 9.54217990922478e-05, + "loss": 4.6986, + "mean_token_accuracy": 0.2410563424229622, + "num_tokens": 16947285.0, + "step": 7545 + }, + { + "entropy": 5.424769496917724, + "epoch": 8.162249864791779, + "grad_norm": 1.0703125, + "learning_rate": 9.516370557314525e-05, + "loss": 4.5926, + "mean_token_accuracy": 0.2493278279900551, + "num_tokens": 16958781.0, + "step": 7550 + }, + { + "entropy": 5.430429935455322, + "epoch": 8.167658193618172, + "grad_norm": 1.046875, + "learning_rate": 9.490626557955221e-05, + "loss": 4.6489, + "mean_token_accuracy": 0.25174000561237336, + "num_tokens": 16970277.0, + "step": 7555 + }, + { + "entropy": 5.525951814651489, + "epoch": 8.173066522444564, + "grad_norm": 1.0703125, + "learning_rate": 9.464948004700626e-05, + "loss": 4.6902, + "mean_token_accuracy": 0.2522933125495911, + "num_tokens": 16983250.0, + "step": 7560 + }, + { + "entropy": 5.472453880310058, + "epoch": 8.178474851270957, + "grad_norm": 1.1328125, + "learning_rate": 9.439334990866658e-05, + "loss": 4.6654, + "mean_token_accuracy": 0.25425503104925157, + "num_tokens": 16994531.0, + "step": 7565 + }, + { + "entropy": 5.477163600921631, + "epoch": 8.18388318009735, + "grad_norm": 1.21875, + "learning_rate": 9.413787609531072e-05, + "loss": 4.6674, + "mean_token_accuracy": 0.25146382600069045, + "num_tokens": 17006107.0, + "step": 7570 + }, + { + "entropy": 5.489937686920166, + "epoch": 8.189291508923743, + "grad_norm": 1.1640625, + "learning_rate": 9.38830595353311e-05, + "loss": 4.723, + "mean_token_accuracy": 0.23688765317201615, + "num_tokens": 17017243.0, + "step": 7575 + }, + { + "entropy": 5.47594690322876, + "epoch": 8.194699837750136, + "grad_norm": 1.109375, + "learning_rate": 9.362890115473161e-05, + "loss": 4.6277, + "mean_token_accuracy": 0.24465895891189576, + "num_tokens": 17026915.0, + "step": 7580 + }, + { + "entropy": 5.454527521133423, + "epoch": 8.200108166576527, + "grad_norm": 1.1875, + "learning_rate": 9.337540187712453e-05, + "loss": 4.6434, + "mean_token_accuracy": 0.24471478015184403, + "num_tokens": 17036135.0, + "step": 7585 + }, + { + "entropy": 5.448494863510132, + "epoch": 8.20551649540292, + "grad_norm": 1.0703125, + "learning_rate": 9.312256262372674e-05, + "loss": 4.6166, + "mean_token_accuracy": 0.24890027344226837, + "num_tokens": 17046660.0, + "step": 7590 + }, + { + "entropy": 5.412955474853516, + "epoch": 8.210924824229313, + "grad_norm": 1.015625, + "learning_rate": 9.28703843133566e-05, + "loss": 4.6016, + "mean_token_accuracy": 0.25200228542089465, + "num_tokens": 17057923.0, + "step": 7595 + }, + { + "entropy": 5.4411906719207765, + "epoch": 8.216333153055706, + "grad_norm": 1.109375, + "learning_rate": 9.261886786243087e-05, + "loss": 4.6702, + "mean_token_accuracy": 0.24631363600492479, + "num_tokens": 17070053.0, + "step": 7600 + }, + { + "entropy": 5.477663946151734, + "epoch": 8.221741481882098, + "grad_norm": 0.98828125, + "learning_rate": 9.236801418496071e-05, + "loss": 4.6878, + "mean_token_accuracy": 0.24161387532949447, + "num_tokens": 17082311.0, + "step": 7605 + }, + { + "entropy": 5.457633399963379, + "epoch": 8.227149810708491, + "grad_norm": 1.0859375, + "learning_rate": 9.21178241925491e-05, + "loss": 4.7561, + "mean_token_accuracy": 0.23157817274332046, + "num_tokens": 17093073.0, + "step": 7610 + }, + { + "entropy": 5.4540486335754395, + "epoch": 8.232558139534884, + "grad_norm": 1.21875, + "learning_rate": 9.186829879438696e-05, + "loss": 4.6082, + "mean_token_accuracy": 0.24863191395998002, + "num_tokens": 17102753.0, + "step": 7615 + }, + { + "entropy": 5.433753538131714, + "epoch": 8.237966468361277, + "grad_norm": 1.1328125, + "learning_rate": 9.161943889725021e-05, + "loss": 4.6471, + "mean_token_accuracy": 0.24726097136735917, + "num_tokens": 17113519.0, + "step": 7620 + }, + { + "entropy": 5.47761344909668, + "epoch": 8.24337479718767, + "grad_norm": 1.015625, + "learning_rate": 9.137124540549638e-05, + "loss": 4.6522, + "mean_token_accuracy": 0.2481951430439949, + "num_tokens": 17125634.0, + "step": 7625 + }, + { + "entropy": 5.453316879272461, + "epoch": 8.248783126014061, + "grad_norm": 1.0390625, + "learning_rate": 9.1123719221061e-05, + "loss": 4.6028, + "mean_token_accuracy": 0.24958553910255432, + "num_tokens": 17136982.0, + "step": 7630 + }, + { + "entropy": 5.421119499206543, + "epoch": 8.254191454840454, + "grad_norm": 1.0703125, + "learning_rate": 9.087686124345486e-05, + "loss": 4.6542, + "mean_token_accuracy": 0.2427103653550148, + "num_tokens": 17148299.0, + "step": 7635 + }, + { + "entropy": 5.43115816116333, + "epoch": 8.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 9.063067236976055e-05, + "loss": 4.663, + "mean_token_accuracy": 0.24270786195993424, + "num_tokens": 17161224.0, + "step": 7640 + }, + { + "entropy": 5.372230863571167, + "epoch": 8.26500811249324, + "grad_norm": 1.125, + "learning_rate": 9.038515349462887e-05, + "loss": 4.5896, + "mean_token_accuracy": 0.2515710100531578, + "num_tokens": 17172406.0, + "step": 7645 + }, + { + "entropy": 5.51184229850769, + "epoch": 8.270416441319632, + "grad_norm": 1.1171875, + "learning_rate": 9.014030551027601e-05, + "loss": 4.677, + "mean_token_accuracy": 0.24752892255783082, + "num_tokens": 17182626.0, + "step": 7650 + }, + { + "entropy": 5.4033996105194095, + "epoch": 8.275824770146025, + "grad_norm": 1.0859375, + "learning_rate": 8.989612930648014e-05, + "loss": 4.6386, + "mean_token_accuracy": 0.24435791075229646, + "num_tokens": 17195651.0, + "step": 7655 + }, + { + "entropy": 5.3988096714019775, + "epoch": 8.281233098972418, + "grad_norm": 1.1640625, + "learning_rate": 8.965262577057811e-05, + "loss": 4.6546, + "mean_token_accuracy": 0.24611509889364241, + "num_tokens": 17207321.0, + "step": 7660 + }, + { + "entropy": 5.416755819320679, + "epoch": 8.286641427798811, + "grad_norm": 1.1484375, + "learning_rate": 8.940979578746236e-05, + "loss": 4.638, + "mean_token_accuracy": 0.24601612091064454, + "num_tokens": 17218212.0, + "step": 7665 + }, + { + "entropy": 5.477891826629639, + "epoch": 8.292049756625202, + "grad_norm": 1.03125, + "learning_rate": 8.916764023957766e-05, + "loss": 4.679, + "mean_token_accuracy": 0.247437746822834, + "num_tokens": 17230095.0, + "step": 7670 + }, + { + "entropy": 5.513516521453857, + "epoch": 8.297458085451595, + "grad_norm": 1.0234375, + "learning_rate": 8.892616000691766e-05, + "loss": 4.7701, + "mean_token_accuracy": 0.230373752117157, + "num_tokens": 17241380.0, + "step": 7675 + }, + { + "entropy": 5.423999786376953, + "epoch": 8.302866414277988, + "grad_norm": 1.1328125, + "learning_rate": 8.868535596702232e-05, + "loss": 4.6416, + "mean_token_accuracy": 0.2471378907561302, + "num_tokens": 17252136.0, + "step": 7680 + }, + { + "entropy": 5.430491876602173, + "epoch": 8.30827474310438, + "grad_norm": 1.15625, + "learning_rate": 8.844522899497387e-05, + "loss": 4.656, + "mean_token_accuracy": 0.24410931318998336, + "num_tokens": 17263150.0, + "step": 7685 + }, + { + "entropy": 5.36441330909729, + "epoch": 8.313683071930773, + "grad_norm": 0.9921875, + "learning_rate": 8.82057799633944e-05, + "loss": 4.6102, + "mean_token_accuracy": 0.24801189452409744, + "num_tokens": 17274993.0, + "step": 7690 + }, + { + "entropy": 5.445087242126465, + "epoch": 8.319091400757166, + "grad_norm": 1.0, + "learning_rate": 8.796700974244218e-05, + "loss": 4.6538, + "mean_token_accuracy": 0.2468579575419426, + "num_tokens": 17286559.0, + "step": 7695 + }, + { + "entropy": 5.4774007320404055, + "epoch": 8.32449972958356, + "grad_norm": 1.03125, + "learning_rate": 8.772891919980881e-05, + "loss": 4.6347, + "mean_token_accuracy": 0.25522580146789553, + "num_tokens": 17298034.0, + "step": 7700 + }, + { + "entropy": 5.443531227111817, + "epoch": 8.329908058409952, + "grad_norm": 1.109375, + "learning_rate": 8.74915092007158e-05, + "loss": 4.5536, + "mean_token_accuracy": 0.2588231563568115, + "num_tokens": 17309311.0, + "step": 7705 + }, + { + "entropy": 5.436644506454468, + "epoch": 8.335316387236343, + "grad_norm": 1.0859375, + "learning_rate": 8.725478060791175e-05, + "loss": 4.63, + "mean_token_accuracy": 0.2503485336899757, + "num_tokens": 17320414.0, + "step": 7710 + }, + { + "entropy": 5.484864139556885, + "epoch": 8.340724716062736, + "grad_norm": 1.03125, + "learning_rate": 8.701873428166874e-05, + "loss": 4.7094, + "mean_token_accuracy": 0.23894457817077636, + "num_tokens": 17330743.0, + "step": 7715 + }, + { + "entropy": 5.41112003326416, + "epoch": 8.346133044889129, + "grad_norm": 1.109375, + "learning_rate": 8.678337107977976e-05, + "loss": 4.6906, + "mean_token_accuracy": 0.24522272795438765, + "num_tokens": 17341636.0, + "step": 7720 + }, + { + "entropy": 5.43557071685791, + "epoch": 8.351541373715522, + "grad_norm": 1.171875, + "learning_rate": 8.654869185755532e-05, + "loss": 4.6792, + "mean_token_accuracy": 0.24282750189304353, + "num_tokens": 17352979.0, + "step": 7725 + }, + { + "entropy": 5.420865249633789, + "epoch": 8.356949702541915, + "grad_norm": 1.0390625, + "learning_rate": 8.631469746782011e-05, + "loss": 4.6896, + "mean_token_accuracy": 0.24247679114341736, + "num_tokens": 17364723.0, + "step": 7730 + }, + { + "entropy": 5.46372127532959, + "epoch": 8.362358031368307, + "grad_norm": 1.171875, + "learning_rate": 8.608138876091036e-05, + "loss": 4.7249, + "mean_token_accuracy": 0.24166302531957626, + "num_tokens": 17375078.0, + "step": 7735 + }, + { + "entropy": 5.469405889511108, + "epoch": 8.3677663601947, + "grad_norm": 1.2109375, + "learning_rate": 8.584876658467041e-05, + "loss": 4.7255, + "mean_token_accuracy": 0.23645605146884918, + "num_tokens": 17386414.0, + "step": 7740 + }, + { + "entropy": 5.4496986865997314, + "epoch": 8.373174689021093, + "grad_norm": 1.0703125, + "learning_rate": 8.561683178444979e-05, + "loss": 4.6594, + "mean_token_accuracy": 0.2442307636141777, + "num_tokens": 17397756.0, + "step": 7745 + }, + { + "entropy": 5.452625465393067, + "epoch": 8.378583017847484, + "grad_norm": 1.0703125, + "learning_rate": 8.53855852031002e-05, + "loss": 4.6075, + "mean_token_accuracy": 0.253352677822113, + "num_tokens": 17408425.0, + "step": 7750 + }, + { + "entropy": 5.42819299697876, + "epoch": 8.383991346673877, + "grad_norm": 1.015625, + "learning_rate": 8.515502768097204e-05, + "loss": 4.6591, + "mean_token_accuracy": 0.24390488117933273, + "num_tokens": 17420746.0, + "step": 7755 + }, + { + "entropy": 5.491825294494629, + "epoch": 8.38939967550027, + "grad_norm": 1.0625, + "learning_rate": 8.492516005591204e-05, + "loss": 4.618, + "mean_token_accuracy": 0.2515882387757301, + "num_tokens": 17431634.0, + "step": 7760 + }, + { + "entropy": 5.458147192001343, + "epoch": 8.394808004326663, + "grad_norm": 1.1171875, + "learning_rate": 8.469598316325971e-05, + "loss": 4.627, + "mean_token_accuracy": 0.2455772191286087, + "num_tokens": 17442069.0, + "step": 7765 + }, + { + "entropy": 5.534485006332398, + "epoch": 8.400216333153056, + "grad_norm": 1.140625, + "learning_rate": 8.446749783584432e-05, + "loss": 4.7496, + "mean_token_accuracy": 0.23464579731225968, + "num_tokens": 17451921.0, + "step": 7770 + }, + { + "entropy": 5.427454423904419, + "epoch": 8.405624661979449, + "grad_norm": 1.03125, + "learning_rate": 8.423970490398206e-05, + "loss": 4.6487, + "mean_token_accuracy": 0.24904445707798004, + "num_tokens": 17463804.0, + "step": 7775 + }, + { + "entropy": 5.434597206115723, + "epoch": 8.411032990805841, + "grad_norm": 1.0859375, + "learning_rate": 8.401260519547305e-05, + "loss": 4.6277, + "mean_token_accuracy": 0.25252015292644503, + "num_tokens": 17474682.0, + "step": 7780 + }, + { + "entropy": 5.393816661834717, + "epoch": 8.416441319632234, + "grad_norm": 1.1171875, + "learning_rate": 8.378619953559807e-05, + "loss": 4.6437, + "mean_token_accuracy": 0.24663667976856232, + "num_tokens": 17486272.0, + "step": 7785 + }, + { + "entropy": 5.512399053573608, + "epoch": 8.421849648458625, + "grad_norm": 1.0234375, + "learning_rate": 8.356048874711589e-05, + "loss": 4.7778, + "mean_token_accuracy": 0.23102400749921798, + "num_tokens": 17498422.0, + "step": 7790 + }, + { + "entropy": 5.477883625030517, + "epoch": 8.427257977285018, + "grad_norm": 1.0859375, + "learning_rate": 8.333547365026e-05, + "loss": 4.6951, + "mean_token_accuracy": 0.23685057312250138, + "num_tokens": 17509923.0, + "step": 7795 + }, + { + "entropy": 5.437692546844483, + "epoch": 8.432666306111411, + "grad_norm": 1.046875, + "learning_rate": 8.311115506273579e-05, + "loss": 4.6192, + "mean_token_accuracy": 0.2497318670153618, + "num_tokens": 17520962.0, + "step": 7800 + }, + { + "entropy": 5.402871131896973, + "epoch": 8.438074634937804, + "grad_norm": 1.09375, + "learning_rate": 8.288753379971756e-05, + "loss": 4.6266, + "mean_token_accuracy": 0.24970309883356095, + "num_tokens": 17532336.0, + "step": 7805 + }, + { + "entropy": 5.457163095474243, + "epoch": 8.443482963764197, + "grad_norm": 1.2109375, + "learning_rate": 8.26646106738454e-05, + "loss": 4.6119, + "mean_token_accuracy": 0.25259271264076233, + "num_tokens": 17541684.0, + "step": 7810 + }, + { + "entropy": 5.452897691726685, + "epoch": 8.44889129259059, + "grad_norm": 1.21875, + "learning_rate": 8.244238649522249e-05, + "loss": 4.5603, + "mean_token_accuracy": 0.25624964386224747, + "num_tokens": 17551788.0, + "step": 7815 + }, + { + "entropy": 5.434674072265625, + "epoch": 8.454299621416983, + "grad_norm": 1.09375, + "learning_rate": 8.222086207141214e-05, + "loss": 4.7034, + "mean_token_accuracy": 0.24153718799352647, + "num_tokens": 17563292.0, + "step": 7820 + }, + { + "entropy": 5.4834681987762455, + "epoch": 8.459707950243375, + "grad_norm": 1.09375, + "learning_rate": 8.200003820743449e-05, + "loss": 4.6607, + "mean_token_accuracy": 0.25238813906908036, + "num_tokens": 17574305.0, + "step": 7825 + }, + { + "entropy": 5.453549385070801, + "epoch": 8.465116279069768, + "grad_norm": 1.2109375, + "learning_rate": 8.177991570576396e-05, + "loss": 4.6202, + "mean_token_accuracy": 0.24570186734199523, + "num_tokens": 17584448.0, + "step": 7830 + }, + { + "entropy": 5.4401407718658445, + "epoch": 8.47052460789616, + "grad_norm": 1.078125, + "learning_rate": 8.156049536632629e-05, + "loss": 4.6348, + "mean_token_accuracy": 0.25061688870191573, + "num_tokens": 17595877.0, + "step": 7835 + }, + { + "entropy": 5.437603902816773, + "epoch": 8.475932936722552, + "grad_norm": 1.125, + "learning_rate": 8.13417779864955e-05, + "loss": 4.655, + "mean_token_accuracy": 0.24989775121212005, + "num_tokens": 17608164.0, + "step": 7840 + }, + { + "entropy": 5.408649158477783, + "epoch": 8.481341265548945, + "grad_norm": 1.15625, + "learning_rate": 8.112376436109107e-05, + "loss": 4.6133, + "mean_token_accuracy": 0.24967734962701799, + "num_tokens": 17619098.0, + "step": 7845 + }, + { + "entropy": 5.387372636795044, + "epoch": 8.486749594375338, + "grad_norm": 1.1328125, + "learning_rate": 8.090645528237493e-05, + "loss": 4.6169, + "mean_token_accuracy": 0.24099100679159163, + "num_tokens": 17630032.0, + "step": 7850 + }, + { + "entropy": 5.445199394226075, + "epoch": 8.49215792320173, + "grad_norm": 1.0859375, + "learning_rate": 8.068985154004879e-05, + "loss": 4.6272, + "mean_token_accuracy": 0.2506523698568344, + "num_tokens": 17641127.0, + "step": 7855 + }, + { + "entropy": 5.47921142578125, + "epoch": 8.497566252028124, + "grad_norm": 1.125, + "learning_rate": 8.047395392125126e-05, + "loss": 4.6752, + "mean_token_accuracy": 0.2440624639391899, + "num_tokens": 17652944.0, + "step": 7860 + }, + { + "entropy": 5.394153451919555, + "epoch": 8.502974580854517, + "grad_norm": 1.140625, + "learning_rate": 8.02587632105547e-05, + "loss": 4.562, + "mean_token_accuracy": 0.24257596880197524, + "num_tokens": 17664345.0, + "step": 7865 + }, + { + "entropy": 5.485877227783203, + "epoch": 8.50838290968091, + "grad_norm": 1.03125, + "learning_rate": 8.004428018996264e-05, + "loss": 4.6301, + "mean_token_accuracy": 0.24969162791967392, + "num_tokens": 17674314.0, + "step": 7870 + }, + { + "entropy": 5.3833784580230715, + "epoch": 8.5137912385073, + "grad_norm": 1.2109375, + "learning_rate": 7.983050563890692e-05, + "loss": 4.6665, + "mean_token_accuracy": 0.2468141570687294, + "num_tokens": 17685338.0, + "step": 7875 + }, + { + "entropy": 5.4162355899810795, + "epoch": 8.519199567333693, + "grad_norm": 1.1328125, + "learning_rate": 7.961744033424473e-05, + "loss": 4.6645, + "mean_token_accuracy": 0.24835647493600846, + "num_tokens": 17695954.0, + "step": 7880 + }, + { + "entropy": 5.433167791366577, + "epoch": 8.524607896160086, + "grad_norm": 1.0703125, + "learning_rate": 7.940508505025586e-05, + "loss": 4.6433, + "mean_token_accuracy": 0.24660401791334152, + "num_tokens": 17706627.0, + "step": 7885 + }, + { + "entropy": 5.4570776462554935, + "epoch": 8.530016224986479, + "grad_norm": 1.1640625, + "learning_rate": 7.919344055863997e-05, + "loss": 4.6834, + "mean_token_accuracy": 0.250008362531662, + "num_tokens": 17716810.0, + "step": 7890 + }, + { + "entropy": 5.5049059867858885, + "epoch": 8.535424553812872, + "grad_norm": 1.046875, + "learning_rate": 7.89825076285135e-05, + "loss": 4.7199, + "mean_token_accuracy": 0.23966176211833953, + "num_tokens": 17727429.0, + "step": 7895 + }, + { + "entropy": 5.476928472518921, + "epoch": 8.540832882639265, + "grad_norm": 1.2265625, + "learning_rate": 7.877228702640739e-05, + "loss": 4.6414, + "mean_token_accuracy": 0.251692995429039, + "num_tokens": 17737198.0, + "step": 7900 + }, + { + "entropy": 5.452701568603516, + "epoch": 8.546241211465658, + "grad_norm": 1.1640625, + "learning_rate": 7.856277951626363e-05, + "loss": 4.6524, + "mean_token_accuracy": 0.24492272585630417, + "num_tokens": 17747288.0, + "step": 7905 + }, + { + "entropy": 5.419731569290161, + "epoch": 8.55164954029205, + "grad_norm": 1.0, + "learning_rate": 7.835398585943307e-05, + "loss": 4.732, + "mean_token_accuracy": 0.23216305673122406, + "num_tokens": 17759238.0, + "step": 7910 + }, + { + "entropy": 5.453393936157227, + "epoch": 8.557057869118442, + "grad_norm": 1.15625, + "learning_rate": 7.814590681467235e-05, + "loss": 4.6298, + "mean_token_accuracy": 0.25046600997447965, + "num_tokens": 17769306.0, + "step": 7915 + }, + { + "entropy": 5.433558702468872, + "epoch": 8.562466197944834, + "grad_norm": 1.046875, + "learning_rate": 7.793854313814114e-05, + "loss": 4.6433, + "mean_token_accuracy": 0.24308221340179442, + "num_tokens": 17780446.0, + "step": 7920 + }, + { + "entropy": 5.447643804550171, + "epoch": 8.567874526771227, + "grad_norm": 1.109375, + "learning_rate": 7.773189558339956e-05, + "loss": 4.6103, + "mean_token_accuracy": 0.2464235916733742, + "num_tokens": 17791217.0, + "step": 7925 + }, + { + "entropy": 5.39156494140625, + "epoch": 8.57328285559762, + "grad_norm": 1.0625, + "learning_rate": 7.752596490140537e-05, + "loss": 4.5492, + "mean_token_accuracy": 0.25537085682153704, + "num_tokens": 17802755.0, + "step": 7930 + }, + { + "entropy": 5.400811100006104, + "epoch": 8.578691184424013, + "grad_norm": 1.1484375, + "learning_rate": 7.732075184051098e-05, + "loss": 4.6145, + "mean_token_accuracy": 0.25341652184724806, + "num_tokens": 17814466.0, + "step": 7935 + }, + { + "entropy": 5.538357973098755, + "epoch": 8.584099513250406, + "grad_norm": 1.125, + "learning_rate": 7.711625714646127e-05, + "loss": 4.7818, + "mean_token_accuracy": 0.23865888118743897, + "num_tokens": 17826561.0, + "step": 7940 + }, + { + "entropy": 5.494115400314331, + "epoch": 8.589507842076799, + "grad_norm": 1.1796875, + "learning_rate": 7.691248156239041e-05, + "loss": 4.6958, + "mean_token_accuracy": 0.242883163690567, + "num_tokens": 17837219.0, + "step": 7945 + }, + { + "entropy": 5.448954963684082, + "epoch": 8.594916170903192, + "grad_norm": 1.1171875, + "learning_rate": 7.670942582881931e-05, + "loss": 4.633, + "mean_token_accuracy": 0.24463047534227372, + "num_tokens": 17848173.0, + "step": 7950 + }, + { + "entropy": 5.405515670776367, + "epoch": 8.600324499729584, + "grad_norm": 1.0234375, + "learning_rate": 7.650709068365295e-05, + "loss": 4.587, + "mean_token_accuracy": 0.25289051979780197, + "num_tokens": 17858073.0, + "step": 7955 + }, + { + "entropy": 5.493569231033325, + "epoch": 8.605732828555976, + "grad_norm": 0.94921875, + "learning_rate": 7.630547686217774e-05, + "loss": 4.7385, + "mean_token_accuracy": 0.2438815712928772, + "num_tokens": 17871842.0, + "step": 7960 + }, + { + "entropy": 5.384715127944946, + "epoch": 8.611141157382368, + "grad_norm": 1.1328125, + "learning_rate": 7.61045850970588e-05, + "loss": 4.6016, + "mean_token_accuracy": 0.25172372758388517, + "num_tokens": 17883217.0, + "step": 7965 + }, + { + "entropy": 5.440554094314575, + "epoch": 8.616549486208761, + "grad_norm": 1.0234375, + "learning_rate": 7.59044161183373e-05, + "loss": 4.6496, + "mean_token_accuracy": 0.24046091884374618, + "num_tokens": 17895606.0, + "step": 7970 + }, + { + "entropy": 5.4395688533782955, + "epoch": 8.621957815035154, + "grad_norm": 1.078125, + "learning_rate": 7.570497065342762e-05, + "loss": 4.6126, + "mean_token_accuracy": 0.24324086010456086, + "num_tokens": 17906444.0, + "step": 7975 + }, + { + "entropy": 5.481838798522949, + "epoch": 8.627366143861547, + "grad_norm": 1.1015625, + "learning_rate": 7.550624942711517e-05, + "loss": 4.6844, + "mean_token_accuracy": 0.2452366203069687, + "num_tokens": 17917019.0, + "step": 7980 + }, + { + "entropy": 5.398834466934204, + "epoch": 8.63277447268794, + "grad_norm": 1.109375, + "learning_rate": 7.530825316155337e-05, + "loss": 4.5774, + "mean_token_accuracy": 0.25428382158279417, + "num_tokens": 17927930.0, + "step": 7985 + }, + { + "entropy": 5.45563907623291, + "epoch": 8.638182801514333, + "grad_norm": 1.2265625, + "learning_rate": 7.511098257626101e-05, + "loss": 4.6169, + "mean_token_accuracy": 0.24270703941583632, + "num_tokens": 17938820.0, + "step": 7990 + }, + { + "entropy": 5.479223585128784, + "epoch": 8.643591130340724, + "grad_norm": 1.1875, + "learning_rate": 7.491443838811991e-05, + "loss": 4.6911, + "mean_token_accuracy": 0.24639520347118377, + "num_tokens": 17949334.0, + "step": 7995 + }, + { + "entropy": 5.448716497421264, + "epoch": 8.648999459167117, + "grad_norm": 1.1015625, + "learning_rate": 7.47186213113721e-05, + "loss": 4.641, + "mean_token_accuracy": 0.25038540065288545, + "num_tokens": 17961454.0, + "step": 8000 + }, + { + "epoch": 8.648999459167117, + "eval_entropy": 5.362871633876454, + "eval_loss": 5.8378705978393555, + "eval_mean_token_accuracy": 0.1841868094761263, + "eval_num_tokens": 17961454.0, + "eval_runtime": 5.2454, + "eval_samples_per_second": 670.115, + "eval_steps_per_second": 83.884, + "step": 8000 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 4165346052587520.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-8000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-8500/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..9c8210f --- /dev/null +++ b/checkpoint-8500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d59c5844ccf6ba5a21f2dcfa233fca9eae56d431bc7b529a37f88d076ac9d00c +size 78179408 diff --git a/checkpoint-8500/rng_state.pth b/checkpoint-8500/rng_state.pth new file mode 100644 index 0000000..ac22c37 --- /dev/null +++ b/checkpoint-8500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6539d3d2ca20dfb8c6a8c535c839f243c1b20d895cd4b1602117d7db93b2e245 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-8500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-8500/trainer_state.json b/checkpoint-8500/trainer_state.json new file mode 100644 index 0000000..abc634e --- /dev/null +++ b/checkpoint-8500/trainer_state.json @@ -0,0 +1,17221 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.189291508923743, + "eval_steps": 500, + "global_step": 8500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + }, + { + "entropy": 5.5260412216186525, + "epoch": 4.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0003273583644789772, + "loss": 5.0416, + "mean_token_accuracy": 0.2119097203016281, + "num_tokens": 10116420.0, + "step": 4505 + }, + { + "entropy": 5.480229425430298, + "epoch": 4.876149269875609, + "grad_norm": 0.984375, + "learning_rate": 0.00032694112553039795, + "loss": 5.0407, + "mean_token_accuracy": 0.20997347682714462, + "num_tokens": 10127289.0, + "step": 4510 + }, + { + "entropy": 5.582333183288574, + "epoch": 4.881557598702001, + "grad_norm": 0.89453125, + "learning_rate": 0.0003265236978276484, + "loss": 5.1776, + "mean_token_accuracy": 0.2014921173453331, + "num_tokens": 10139216.0, + "step": 4515 + }, + { + "entropy": 5.586625242233277, + "epoch": 4.886965927528394, + "grad_norm": 0.9609375, + "learning_rate": 0.00032610608288766185, + "loss": 5.0455, + "mean_token_accuracy": 0.22018371075391768, + "num_tokens": 10150010.0, + "step": 4520 + }, + { + "entropy": 5.507440090179443, + "epoch": 4.8923742563547865, + "grad_norm": 0.93359375, + "learning_rate": 0.00032568828222805216, + "loss": 5.0416, + "mean_token_accuracy": 0.21397803723812103, + "num_tokens": 10161317.0, + "step": 4525 + }, + { + "entropy": 5.520569133758545, + "epoch": 4.897782585181179, + "grad_norm": 1.0390625, + "learning_rate": 0.0003252702973671075, + "loss": 5.0784, + "mean_token_accuracy": 0.22154383063316346, + "num_tokens": 10172681.0, + "step": 4530 + }, + { + "entropy": 5.564612579345703, + "epoch": 4.903190914007571, + "grad_norm": 0.9375, + "learning_rate": 0.00032485212982378615, + "loss": 5.0628, + "mean_token_accuracy": 0.21105246245861053, + "num_tokens": 10184755.0, + "step": 4535 + }, + { + "entropy": 5.513889312744141, + "epoch": 4.908599242833964, + "grad_norm": 1.015625, + "learning_rate": 0.0003244337811177098, + "loss": 5.0479, + "mean_token_accuracy": 0.21932805627584456, + "num_tokens": 10195252.0, + "step": 4540 + }, + { + "entropy": 5.543384790420532, + "epoch": 4.914007571660357, + "grad_norm": 0.97265625, + "learning_rate": 0.0003240152527691586, + "loss": 5.152, + "mean_token_accuracy": 0.1962687239050865, + "num_tokens": 10207660.0, + "step": 4545 + }, + { + "entropy": 5.5311463356018065, + "epoch": 4.91941590048675, + "grad_norm": 0.94140625, + "learning_rate": 0.00032359654629906555, + "loss": 5.0906, + "mean_token_accuracy": 0.21332904547452927, + "num_tokens": 10218154.0, + "step": 4550 + }, + { + "entropy": 5.496583652496338, + "epoch": 4.924824229313142, + "grad_norm": 0.92578125, + "learning_rate": 0.00032317766322901106, + "loss": 5.0363, + "mean_token_accuracy": 0.2050163671374321, + "num_tokens": 10229624.0, + "step": 4555 + }, + { + "entropy": 5.5351176261901855, + "epoch": 4.930232558139535, + "grad_norm": 0.97265625, + "learning_rate": 0.000322758605081217, + "loss": 5.0029, + "mean_token_accuracy": 0.2171091064810753, + "num_tokens": 10240338.0, + "step": 4560 + }, + { + "entropy": 5.489692735671997, + "epoch": 4.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.00032233937337854167, + "loss": 5.0781, + "mean_token_accuracy": 0.21066401302814483, + "num_tokens": 10250721.0, + "step": 4565 + }, + { + "entropy": 5.483132600784302, + "epoch": 4.9410492157923205, + "grad_norm": 0.85546875, + "learning_rate": 0.0003219199696444741, + "loss": 5.1115, + "mean_token_accuracy": 0.20521238595247268, + "num_tokens": 10262596.0, + "step": 4570 + }, + { + "entropy": 5.630878591537476, + "epoch": 4.9464575446187125, + "grad_norm": 0.9375, + "learning_rate": 0.00032150039540312843, + "loss": 5.2161, + "mean_token_accuracy": 0.20218149423599244, + "num_tokens": 10275043.0, + "step": 4575 + }, + { + "entropy": 5.597415924072266, + "epoch": 4.951865873445105, + "grad_norm": 0.86328125, + "learning_rate": 0.00032108065217923836, + "loss": 5.1768, + "mean_token_accuracy": 0.20507008731365203, + "num_tokens": 10286593.0, + "step": 4580 + }, + { + "entropy": 5.684569835662842, + "epoch": 4.957274202271498, + "grad_norm": 0.91796875, + "learning_rate": 0.00032066074149815184, + "loss": 5.1852, + "mean_token_accuracy": 0.20786730647087098, + "num_tokens": 10297459.0, + "step": 4585 + }, + { + "entropy": 5.420581722259522, + "epoch": 4.962682531097891, + "grad_norm": 0.8984375, + "learning_rate": 0.00032024066488582517, + "loss": 4.9087, + "mean_token_accuracy": 0.22307772785425187, + "num_tokens": 10308397.0, + "step": 4590 + }, + { + "entropy": 5.616361284255982, + "epoch": 4.968090859924283, + "grad_norm": 0.9921875, + "learning_rate": 0.0003198204238688178, + "loss": 5.1932, + "mean_token_accuracy": 0.20035981386899948, + "num_tokens": 10319648.0, + "step": 4595 + }, + { + "entropy": 5.652286148071289, + "epoch": 4.973499188750676, + "grad_norm": 0.94140625, + "learning_rate": 0.00031940001997428645, + "loss": 5.1707, + "mean_token_accuracy": 0.2010723575949669, + "num_tokens": 10330922.0, + "step": 4600 + }, + { + "entropy": 5.523626327514648, + "epoch": 4.978907517577069, + "grad_norm": 1.03125, + "learning_rate": 0.00031897945472997996, + "loss": 5.0548, + "mean_token_accuracy": 0.20578106194734574, + "num_tokens": 10341959.0, + "step": 4605 + }, + { + "entropy": 5.5449658870697025, + "epoch": 4.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0003185587296642333, + "loss": 5.1312, + "mean_token_accuracy": 0.21090947985649108, + "num_tokens": 10353125.0, + "step": 4610 + }, + { + "entropy": 5.567223691940308, + "epoch": 4.9897241752298545, + "grad_norm": 1.0546875, + "learning_rate": 0.0003181378463059625, + "loss": 5.155, + "mean_token_accuracy": 0.2045162320137024, + "num_tokens": 10364528.0, + "step": 4615 + }, + { + "entropy": 5.502493953704834, + "epoch": 4.995132504056246, + "grad_norm": 0.8984375, + "learning_rate": 0.0003177168061846584, + "loss": 5.013, + "mean_token_accuracy": 0.21816083341836928, + "num_tokens": 10375252.0, + "step": 4620 + }, + { + "entropy": 5.496442000071208, + "epoch": 5.0, + "grad_norm": 1.84375, + "learning_rate": 0.0003172956108303819, + "loss": 4.9872, + "mean_token_accuracy": 0.216766443517473, + "num_tokens": 10384445.0, + "step": 4625 + }, + { + "entropy": 5.528093242645264, + "epoch": 5.005408328826393, + "grad_norm": 0.88671875, + "learning_rate": 0.0003168742617737579, + "loss": 4.9556, + "mean_token_accuracy": 0.21919166445732116, + "num_tokens": 10396122.0, + "step": 4630 + }, + { + "entropy": 5.603008890151978, + "epoch": 5.010816657652786, + "grad_norm": 0.7890625, + "learning_rate": 0.00031645276054597006, + "loss": 4.9064, + "mean_token_accuracy": 0.2211405813694, + "num_tokens": 10409135.0, + "step": 4635 + }, + { + "entropy": 5.586550092697143, + "epoch": 5.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.00031603110867875435, + "loss": 4.8883, + "mean_token_accuracy": 0.22872422486543656, + "num_tokens": 10421068.0, + "step": 4640 + }, + { + "entropy": 5.501196575164795, + "epoch": 5.0216333153055706, + "grad_norm": 0.953125, + "learning_rate": 0.000315609307704395, + "loss": 4.8529, + "mean_token_accuracy": 0.2281401500105858, + "num_tokens": 10432117.0, + "step": 4645 + }, + { + "entropy": 5.535338020324707, + "epoch": 5.027041644131963, + "grad_norm": 0.8984375, + "learning_rate": 0.0003151873591557176, + "loss": 4.8912, + "mean_token_accuracy": 0.22080296128988267, + "num_tokens": 10443547.0, + "step": 4650 + }, + { + "entropy": 5.5264379501342775, + "epoch": 5.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.00031476526456608415, + "loss": 4.8489, + "mean_token_accuracy": 0.22700522541999818, + "num_tokens": 10455038.0, + "step": 4655 + }, + { + "entropy": 5.550225639343262, + "epoch": 5.037858301784748, + "grad_norm": 0.95703125, + "learning_rate": 0.0003143430254693873, + "loss": 4.9477, + "mean_token_accuracy": 0.21674466133117676, + "num_tokens": 10466682.0, + "step": 4660 + }, + { + "entropy": 5.5271460056304935, + "epoch": 5.043266630611141, + "grad_norm": 1.0078125, + "learning_rate": 0.0003139206434000451, + "loss": 4.9151, + "mean_token_accuracy": 0.22240815162658692, + "num_tokens": 10478575.0, + "step": 4665 + }, + { + "entropy": 5.569495391845703, + "epoch": 5.048674959437534, + "grad_norm": 0.94140625, + "learning_rate": 0.0003134981198929948, + "loss": 4.8959, + "mean_token_accuracy": 0.2266492411494255, + "num_tokens": 10490088.0, + "step": 4670 + }, + { + "entropy": 5.498064756393433, + "epoch": 5.054083288263927, + "grad_norm": 1.0546875, + "learning_rate": 0.00031307545648368777, + "loss": 4.7767, + "mean_token_accuracy": 0.2328466773033142, + "num_tokens": 10499877.0, + "step": 4675 + }, + { + "entropy": 5.46832504272461, + "epoch": 5.059491617090319, + "grad_norm": 0.9765625, + "learning_rate": 0.00031265265470808393, + "loss": 4.7688, + "mean_token_accuracy": 0.23446664959192276, + "num_tokens": 10509830.0, + "step": 4680 + }, + { + "entropy": 5.477397060394287, + "epoch": 5.064899945916712, + "grad_norm": 1.0078125, + "learning_rate": 0.00031222971610264595, + "loss": 4.8014, + "mean_token_accuracy": 0.22999125868082046, + "num_tokens": 10520072.0, + "step": 4685 + }, + { + "entropy": 5.526410722732544, + "epoch": 5.0703082747431045, + "grad_norm": 1.0, + "learning_rate": 0.00031180664220433347, + "loss": 4.9696, + "mean_token_accuracy": 0.22071902453899384, + "num_tokens": 10531260.0, + "step": 4690 + }, + { + "entropy": 5.477414608001709, + "epoch": 5.075716603569497, + "grad_norm": 1.0, + "learning_rate": 0.00031138343455059823, + "loss": 4.8571, + "mean_token_accuracy": 0.22696343213319778, + "num_tokens": 10542971.0, + "step": 4695 + }, + { + "entropy": 5.464529418945313, + "epoch": 5.081124932395889, + "grad_norm": 0.97265625, + "learning_rate": 0.0003109600946793778, + "loss": 4.8392, + "mean_token_accuracy": 0.2284951239824295, + "num_tokens": 10554101.0, + "step": 4700 + }, + { + "entropy": 5.605349922180176, + "epoch": 5.086533261222282, + "grad_norm": 0.94140625, + "learning_rate": 0.00031053662412909024, + "loss": 4.9924, + "mean_token_accuracy": 0.21688981205224991, + "num_tokens": 10565866.0, + "step": 4705 + }, + { + "entropy": 5.453184270858765, + "epoch": 5.091941590048675, + "grad_norm": 0.8671875, + "learning_rate": 0.0003101130244386283, + "loss": 4.8064, + "mean_token_accuracy": 0.23072075247764587, + "num_tokens": 10577276.0, + "step": 4710 + }, + { + "entropy": 5.594261884689331, + "epoch": 5.097349918875068, + "grad_norm": 0.9609375, + "learning_rate": 0.00030968929714735456, + "loss": 5.0054, + "mean_token_accuracy": 0.21874586939811708, + "num_tokens": 10588625.0, + "step": 4715 + }, + { + "entropy": 5.425375604629517, + "epoch": 5.10275824770146, + "grad_norm": 0.96875, + "learning_rate": 0.0003092654437950947, + "loss": 4.8637, + "mean_token_accuracy": 0.22720252275466918, + "num_tokens": 10599833.0, + "step": 4720 + }, + { + "entropy": 5.456516408920288, + "epoch": 5.108166576527853, + "grad_norm": 0.9921875, + "learning_rate": 0.0003088414659221331, + "loss": 4.8677, + "mean_token_accuracy": 0.21797628104686737, + "num_tokens": 10610156.0, + "step": 4725 + }, + { + "entropy": 5.480758142471314, + "epoch": 5.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.000308417365069206, + "loss": 4.8825, + "mean_token_accuracy": 0.22795740216970445, + "num_tokens": 10619839.0, + "step": 4730 + }, + { + "entropy": 5.499576425552368, + "epoch": 5.1189832341806385, + "grad_norm": 0.97265625, + "learning_rate": 0.00030799314277749697, + "loss": 4.8791, + "mean_token_accuracy": 0.22572332620620728, + "num_tokens": 10631671.0, + "step": 4735 + }, + { + "entropy": 5.485957908630371, + "epoch": 5.1243915630070305, + "grad_norm": 1.0, + "learning_rate": 0.00030756880058863085, + "loss": 4.8818, + "mean_token_accuracy": 0.22702433317899703, + "num_tokens": 10642597.0, + "step": 4740 + }, + { + "entropy": 5.547960376739502, + "epoch": 5.129799891833423, + "grad_norm": 1.015625, + "learning_rate": 0.00030714434004466823, + "loss": 4.9414, + "mean_token_accuracy": 0.21335140615701675, + "num_tokens": 10653323.0, + "step": 4745 + }, + { + "entropy": 5.5615216255187985, + "epoch": 5.135208220659816, + "grad_norm": 0.9609375, + "learning_rate": 0.00030671976268809947, + "loss": 4.9737, + "mean_token_accuracy": 0.21917204856872557, + "num_tokens": 10665572.0, + "step": 4750 + }, + { + "entropy": 5.450459241867065, + "epoch": 5.140616549486209, + "grad_norm": 1.09375, + "learning_rate": 0.00030629507006183995, + "loss": 4.8015, + "mean_token_accuracy": 0.22744957357645035, + "num_tokens": 10676686.0, + "step": 4755 + }, + { + "entropy": 5.458092498779297, + "epoch": 5.146024878312601, + "grad_norm": 1.1328125, + "learning_rate": 0.0003058702637092234, + "loss": 4.9562, + "mean_token_accuracy": 0.2186889737844467, + "num_tokens": 10687188.0, + "step": 4760 + }, + { + "entropy": 5.513929224014282, + "epoch": 5.151433207138994, + "grad_norm": 0.95703125, + "learning_rate": 0.00030544534517399724, + "loss": 4.8805, + "mean_token_accuracy": 0.22149462401866912, + "num_tokens": 10698343.0, + "step": 4765 + }, + { + "entropy": 5.509257984161377, + "epoch": 5.156841535965387, + "grad_norm": 0.94921875, + "learning_rate": 0.0003050203160003163, + "loss": 4.8566, + "mean_token_accuracy": 0.2240440934896469, + "num_tokens": 10710732.0, + "step": 4770 + }, + { + "entropy": 5.527531480789184, + "epoch": 5.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.0003045951777327377, + "loss": 4.9337, + "mean_token_accuracy": 0.2243843585252762, + "num_tokens": 10722397.0, + "step": 4775 + }, + { + "entropy": 5.396258449554443, + "epoch": 5.167658193618172, + "grad_norm": 0.96484375, + "learning_rate": 0.0003041699319162148, + "loss": 4.8263, + "mean_token_accuracy": 0.221099328994751, + "num_tokens": 10733714.0, + "step": 4780 + }, + { + "entropy": 5.487423133850098, + "epoch": 5.173066522444564, + "grad_norm": 0.921875, + "learning_rate": 0.00030374458009609193, + "loss": 4.9096, + "mean_token_accuracy": 0.22515179812908173, + "num_tokens": 10745748.0, + "step": 4785 + }, + { + "entropy": 5.6112525939941404, + "epoch": 5.178474851270957, + "grad_norm": 1.015625, + "learning_rate": 0.0003033191238180985, + "loss": 4.9403, + "mean_token_accuracy": 0.2272365614771843, + "num_tokens": 10756094.0, + "step": 4790 + }, + { + "entropy": 5.50868330001831, + "epoch": 5.18388318009735, + "grad_norm": 0.9921875, + "learning_rate": 0.0003028935646283438, + "loss": 4.994, + "mean_token_accuracy": 0.21618228554725646, + "num_tokens": 10768068.0, + "step": 4795 + }, + { + "entropy": 5.4779845714569095, + "epoch": 5.189291508923742, + "grad_norm": 1.03125, + "learning_rate": 0.00030246790407331063, + "loss": 4.8476, + "mean_token_accuracy": 0.2233078360557556, + "num_tokens": 10778917.0, + "step": 4800 + }, + { + "entropy": 5.495712518692017, + "epoch": 5.194699837750135, + "grad_norm": 0.99609375, + "learning_rate": 0.00030204214369985066, + "loss": 4.8669, + "mean_token_accuracy": 0.2277569890022278, + "num_tokens": 10790552.0, + "step": 4805 + }, + { + "entropy": 5.527979612350464, + "epoch": 5.200108166576528, + "grad_norm": 0.94140625, + "learning_rate": 0.00030161628505517797, + "loss": 4.9054, + "mean_token_accuracy": 0.21913376003503798, + "num_tokens": 10803199.0, + "step": 4810 + }, + { + "entropy": 5.44367413520813, + "epoch": 5.205516495402921, + "grad_norm": 0.984375, + "learning_rate": 0.00030119032968686397, + "loss": 4.8415, + "mean_token_accuracy": 0.22889240086078644, + "num_tokens": 10814339.0, + "step": 4815 + }, + { + "entropy": 5.460538148880005, + "epoch": 5.210924824229313, + "grad_norm": 0.9140625, + "learning_rate": 0.00030076427914283127, + "loss": 4.9144, + "mean_token_accuracy": 0.21594512164592744, + "num_tokens": 10825776.0, + "step": 4820 + }, + { + "entropy": 5.530256366729736, + "epoch": 5.2163331530557056, + "grad_norm": 0.99609375, + "learning_rate": 0.00030033813497134864, + "loss": 4.8544, + "mean_token_accuracy": 0.22742793411016465, + "num_tokens": 10837179.0, + "step": 4825 + }, + { + "entropy": 5.434867238998413, + "epoch": 5.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.000299911898721025, + "loss": 4.9009, + "mean_token_accuracy": 0.22611162364482879, + "num_tokens": 10847205.0, + "step": 4830 + }, + { + "entropy": 5.504870128631592, + "epoch": 5.227149810708491, + "grad_norm": 0.859375, + "learning_rate": 0.00029948557194080385, + "loss": 4.8953, + "mean_token_accuracy": 0.2238959863781929, + "num_tokens": 10859895.0, + "step": 4835 + }, + { + "entropy": 5.442061185836792, + "epoch": 5.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.0002990591561799576, + "loss": 4.9241, + "mean_token_accuracy": 0.21286537796258925, + "num_tokens": 10871286.0, + "step": 4840 + }, + { + "entropy": 5.443824434280396, + "epoch": 5.237966468361276, + "grad_norm": 1.03125, + "learning_rate": 0.0002986326529880823, + "loss": 4.756, + "mean_token_accuracy": 0.23349499106407165, + "num_tokens": 10883479.0, + "step": 4845 + }, + { + "entropy": 5.577119398117065, + "epoch": 5.243374797187669, + "grad_norm": 1.125, + "learning_rate": 0.0002982060639150913, + "loss": 4.9296, + "mean_token_accuracy": 0.22659704983234405, + "num_tokens": 10895432.0, + "step": 4850 + }, + { + "entropy": 5.486083078384399, + "epoch": 5.248783126014062, + "grad_norm": 0.953125, + "learning_rate": 0.0002977793905112106, + "loss": 4.9538, + "mean_token_accuracy": 0.22209923714399338, + "num_tokens": 10906891.0, + "step": 4855 + }, + { + "entropy": 5.444073104858399, + "epoch": 5.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00029735263432697183, + "loss": 4.9508, + "mean_token_accuracy": 0.21773838251829147, + "num_tokens": 10917706.0, + "step": 4860 + }, + { + "entropy": 5.456596851348877, + "epoch": 5.259599783666847, + "grad_norm": 0.9609375, + "learning_rate": 0.0002969257969132085, + "loss": 4.9405, + "mean_token_accuracy": 0.2228843316435814, + "num_tokens": 10929325.0, + "step": 4865 + }, + { + "entropy": 5.524547338485718, + "epoch": 5.2650081124932395, + "grad_norm": 1.109375, + "learning_rate": 0.0002964988798210485, + "loss": 4.9319, + "mean_token_accuracy": 0.2103923425078392, + "num_tokens": 10939899.0, + "step": 4870 + }, + { + "entropy": 5.495690202713012, + "epoch": 5.270416441319632, + "grad_norm": 0.9921875, + "learning_rate": 0.0002960718846019095, + "loss": 4.8823, + "mean_token_accuracy": 0.22650152891874314, + "num_tokens": 10949801.0, + "step": 4875 + }, + { + "entropy": 5.351631355285645, + "epoch": 5.275824770146025, + "grad_norm": 1.0078125, + "learning_rate": 0.0002956448128074931, + "loss": 4.7594, + "mean_token_accuracy": 0.2333318457007408, + "num_tokens": 10960191.0, + "step": 4880 + }, + { + "entropy": 5.565910768508911, + "epoch": 5.281233098972417, + "grad_norm": 0.88671875, + "learning_rate": 0.0002952176659897794, + "loss": 5.0229, + "mean_token_accuracy": 0.21818405240774155, + "num_tokens": 10972818.0, + "step": 4885 + }, + { + "entropy": 5.542775964736938, + "epoch": 5.28664142779881, + "grad_norm": 1.015625, + "learning_rate": 0.0002947904457010207, + "loss": 4.9287, + "mean_token_accuracy": 0.21841724514961242, + "num_tokens": 10984320.0, + "step": 4890 + }, + { + "entropy": 5.501249027252197, + "epoch": 5.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0002943631534937366, + "loss": 4.8801, + "mean_token_accuracy": 0.22640899568796158, + "num_tokens": 10995262.0, + "step": 4895 + }, + { + "entropy": 5.385098266601562, + "epoch": 5.297458085451596, + "grad_norm": 0.984375, + "learning_rate": 0.0002939357909207079, + "loss": 4.8709, + "mean_token_accuracy": 0.22468690872192382, + "num_tokens": 11005788.0, + "step": 4900 + }, + { + "entropy": 5.5195540428161625, + "epoch": 5.302866414277988, + "grad_norm": 1.0390625, + "learning_rate": 0.0002935083595349713, + "loss": 4.9028, + "mean_token_accuracy": 0.2290490075945854, + "num_tokens": 11016772.0, + "step": 4905 + }, + { + "entropy": 5.531022310256958, + "epoch": 5.308274743104381, + "grad_norm": 0.92578125, + "learning_rate": 0.00029308086088981335, + "loss": 4.962, + "mean_token_accuracy": 0.22039518356323243, + "num_tokens": 11028917.0, + "step": 4910 + }, + { + "entropy": 5.498329496383667, + "epoch": 5.3136830719307735, + "grad_norm": 1.0546875, + "learning_rate": 0.00029265329653876515, + "loss": 4.9503, + "mean_token_accuracy": 0.21752556413412094, + "num_tokens": 11040500.0, + "step": 4915 + }, + { + "entropy": 5.476529359817505, + "epoch": 5.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.0002922256680355965, + "loss": 4.8668, + "mean_token_accuracy": 0.2250487968325615, + "num_tokens": 11052173.0, + "step": 4920 + }, + { + "entropy": 5.542095422744751, + "epoch": 5.324499729583558, + "grad_norm": 1.109375, + "learning_rate": 0.00029179797693431046, + "loss": 4.8896, + "mean_token_accuracy": 0.22516080290079116, + "num_tokens": 11061917.0, + "step": 4925 + }, + { + "entropy": 5.450285196304321, + "epoch": 5.329908058409951, + "grad_norm": 1.0703125, + "learning_rate": 0.0002913702247891374, + "loss": 4.8752, + "mean_token_accuracy": 0.23229186683893205, + "num_tokens": 11072820.0, + "step": 4930 + }, + { + "entropy": 5.564850187301635, + "epoch": 5.335316387236344, + "grad_norm": 1.0625, + "learning_rate": 0.0002909424131545296, + "loss": 4.9642, + "mean_token_accuracy": 0.22445973008871078, + "num_tokens": 11083140.0, + "step": 4935 + }, + { + "entropy": 5.542190027236939, + "epoch": 5.340724716062737, + "grad_norm": 0.90234375, + "learning_rate": 0.00029051454358515553, + "loss": 4.9289, + "mean_token_accuracy": 0.22055180966854096, + "num_tokens": 11094314.0, + "step": 4940 + }, + { + "entropy": 5.50953254699707, + "epoch": 5.346133044889129, + "grad_norm": 0.92578125, + "learning_rate": 0.00029008661763589436, + "loss": 4.9733, + "mean_token_accuracy": 0.2225899413228035, + "num_tokens": 11106748.0, + "step": 4945 + }, + { + "entropy": 5.510439777374268, + "epoch": 5.351541373715522, + "grad_norm": 0.91796875, + "learning_rate": 0.0002896586368618297, + "loss": 4.9464, + "mean_token_accuracy": 0.22568726241588594, + "num_tokens": 11118702.0, + "step": 4950 + }, + { + "entropy": 5.525369310379029, + "epoch": 5.356949702541915, + "grad_norm": 0.96875, + "learning_rate": 0.00028923060281824483, + "loss": 4.9396, + "mean_token_accuracy": 0.21333917528390883, + "num_tokens": 11130782.0, + "step": 4955 + }, + { + "entropy": 5.4839788436889645, + "epoch": 5.3623580313683075, + "grad_norm": 1.015625, + "learning_rate": 0.0002888025170606165, + "loss": 4.9011, + "mean_token_accuracy": 0.22421319633722306, + "num_tokens": 11142536.0, + "step": 4960 + }, + { + "entropy": 5.483171844482422, + "epoch": 5.367766360194699, + "grad_norm": 1.0, + "learning_rate": 0.00028837438114460924, + "loss": 4.9031, + "mean_token_accuracy": 0.2182278573513031, + "num_tokens": 11154027.0, + "step": 4965 + }, + { + "entropy": 5.48946442604065, + "epoch": 5.373174689021092, + "grad_norm": 1.0625, + "learning_rate": 0.0002879461966260699, + "loss": 4.9259, + "mean_token_accuracy": 0.2160453200340271, + "num_tokens": 11164759.0, + "step": 4970 + }, + { + "entropy": 5.501074504852295, + "epoch": 5.378583017847485, + "grad_norm": 0.953125, + "learning_rate": 0.00028751796506102224, + "loss": 4.9456, + "mean_token_accuracy": 0.22141506671905517, + "num_tokens": 11176341.0, + "step": 4975 + }, + { + "entropy": 5.5393781661987305, + "epoch": 5.383991346673878, + "grad_norm": 0.95703125, + "learning_rate": 0.00028708968800566056, + "loss": 4.906, + "mean_token_accuracy": 0.22104442417621611, + "num_tokens": 11188958.0, + "step": 4980 + }, + { + "entropy": 5.5685571193695065, + "epoch": 5.38939967550027, + "grad_norm": 1.140625, + "learning_rate": 0.00028666136701634474, + "loss": 5.0001, + "mean_token_accuracy": 0.20960879027843476, + "num_tokens": 11200895.0, + "step": 4985 + }, + { + "entropy": 5.529350328445434, + "epoch": 5.394808004326663, + "grad_norm": 0.96875, + "learning_rate": 0.0002862330036495942, + "loss": 4.9108, + "mean_token_accuracy": 0.22896960824728013, + "num_tokens": 11211563.0, + "step": 4990 + }, + { + "entropy": 5.5777318477630615, + "epoch": 5.400216333153056, + "grad_norm": 0.9921875, + "learning_rate": 0.0002858045994620825, + "loss": 5.0099, + "mean_token_accuracy": 0.21429480612277985, + "num_tokens": 11223323.0, + "step": 4995 + }, + { + "entropy": 5.532574558258057, + "epoch": 5.405624661979449, + "grad_norm": 0.9375, + "learning_rate": 0.00028537615601063133, + "loss": 4.9088, + "mean_token_accuracy": 0.2173854023218155, + "num_tokens": 11235991.0, + "step": 5000 + }, + { + "epoch": 5.405624661979449, + "eval_entropy": 5.359868227351796, + "eval_loss": 5.847285270690918, + "eval_mean_token_accuracy": 0.18075780379162593, + "eval_num_tokens": 11235991.0, + "eval_runtime": 3.5358, + "eval_samples_per_second": 994.104, + "eval_steps_per_second": 124.44, + "step": 5000 + }, + { + "entropy": 5.455257225036621, + "epoch": 5.411032990805841, + "grad_norm": 0.9609375, + "learning_rate": 0.0002849476748522052, + "loss": 4.8879, + "mean_token_accuracy": 0.22323424369096756, + "num_tokens": 11247406.0, + "step": 5005 + }, + { + "entropy": 5.3663108348846436, + "epoch": 5.416441319632233, + "grad_norm": 0.89453125, + "learning_rate": 0.0002845191575439057, + "loss": 4.8489, + "mean_token_accuracy": 0.22015611827373505, + "num_tokens": 11259031.0, + "step": 5010 + }, + { + "entropy": 5.463020086288452, + "epoch": 5.421849648458626, + "grad_norm": 0.9609375, + "learning_rate": 0.0002840906056429658, + "loss": 4.9252, + "mean_token_accuracy": 0.2181644394993782, + "num_tokens": 11270321.0, + "step": 5015 + }, + { + "entropy": 5.51222939491272, + "epoch": 5.427257977285019, + "grad_norm": 1.0703125, + "learning_rate": 0.0002836620207067439, + "loss": 5.0229, + "mean_token_accuracy": 0.2076768919825554, + "num_tokens": 11282209.0, + "step": 5020 + }, + { + "entropy": 5.5796140193939205, + "epoch": 5.432666306111411, + "grad_norm": 1.1171875, + "learning_rate": 0.00028323340429271875, + "loss": 4.9472, + "mean_token_accuracy": 0.21594048887491227, + "num_tokens": 11292987.0, + "step": 5025 + }, + { + "entropy": 5.507422924041748, + "epoch": 5.438074634937804, + "grad_norm": 1.0390625, + "learning_rate": 0.0002828047579584833, + "loss": 4.9016, + "mean_token_accuracy": 0.22376736998558044, + "num_tokens": 11303197.0, + "step": 5030 + }, + { + "entropy": 5.413560152053833, + "epoch": 5.443482963764197, + "grad_norm": 0.98828125, + "learning_rate": 0.00028237608326173944, + "loss": 4.8308, + "mean_token_accuracy": 0.23067670911550522, + "num_tokens": 11315229.0, + "step": 5035 + }, + { + "entropy": 5.44630651473999, + "epoch": 5.44889129259059, + "grad_norm": 1.078125, + "learning_rate": 0.00028194738176029206, + "loss": 4.9124, + "mean_token_accuracy": 0.2220005840063095, + "num_tokens": 11326033.0, + "step": 5040 + }, + { + "entropy": 5.43988265991211, + "epoch": 5.4542996214169825, + "grad_norm": 1.0078125, + "learning_rate": 0.00028151865501204316, + "loss": 4.9213, + "mean_token_accuracy": 0.21385481357574462, + "num_tokens": 11335670.0, + "step": 5045 + }, + { + "entropy": 5.48417558670044, + "epoch": 5.4597079502433745, + "grad_norm": 0.91015625, + "learning_rate": 0.00028108990457498696, + "loss": 4.8722, + "mean_token_accuracy": 0.2302040845155716, + "num_tokens": 11346882.0, + "step": 5050 + }, + { + "entropy": 5.480646085739136, + "epoch": 5.465116279069767, + "grad_norm": 1.015625, + "learning_rate": 0.00028066113200720343, + "loss": 4.8288, + "mean_token_accuracy": 0.22758808583021164, + "num_tokens": 11358141.0, + "step": 5055 + }, + { + "entropy": 5.407720994949341, + "epoch": 5.47052460789616, + "grad_norm": 0.984375, + "learning_rate": 0.00028023233886685314, + "loss": 4.8753, + "mean_token_accuracy": 0.22024642527103425, + "num_tokens": 11368981.0, + "step": 5060 + }, + { + "entropy": 5.502127361297608, + "epoch": 5.475932936722553, + "grad_norm": 1.0234375, + "learning_rate": 0.0002798035267121713, + "loss": 5.0012, + "mean_token_accuracy": 0.21348655074834824, + "num_tokens": 11381613.0, + "step": 5065 + }, + { + "entropy": 5.569995927810669, + "epoch": 5.481341265548945, + "grad_norm": 1.046875, + "learning_rate": 0.0002793746971014623, + "loss": 4.9372, + "mean_token_accuracy": 0.22158569246530532, + "num_tokens": 11392321.0, + "step": 5070 + }, + { + "entropy": 5.4565346240997314, + "epoch": 5.486749594375338, + "grad_norm": 1.078125, + "learning_rate": 0.0002789458515930939, + "loss": 4.9292, + "mean_token_accuracy": 0.2208003059029579, + "num_tokens": 11403546.0, + "step": 5075 + }, + { + "entropy": 5.454629850387573, + "epoch": 5.492157923201731, + "grad_norm": 0.98046875, + "learning_rate": 0.00027851699174549164, + "loss": 4.8671, + "mean_token_accuracy": 0.22627684772014617, + "num_tokens": 11415167.0, + "step": 5080 + }, + { + "entropy": 5.518552207946778, + "epoch": 5.497566252028124, + "grad_norm": 1.0234375, + "learning_rate": 0.0002780881191171333, + "loss": 4.8769, + "mean_token_accuracy": 0.22364618480205536, + "num_tokens": 11426715.0, + "step": 5085 + }, + { + "entropy": 5.49597282409668, + "epoch": 5.502974580854516, + "grad_norm": 1.0078125, + "learning_rate": 0.00027765923526654304, + "loss": 4.8677, + "mean_token_accuracy": 0.22670321613550187, + "num_tokens": 11437760.0, + "step": 5090 + }, + { + "entropy": 5.492688322067261, + "epoch": 5.5083829096809085, + "grad_norm": 0.9765625, + "learning_rate": 0.00027723034175228554, + "loss": 4.9421, + "mean_token_accuracy": 0.22019703984260558, + "num_tokens": 11448329.0, + "step": 5095 + }, + { + "entropy": 5.431415700912476, + "epoch": 5.513791238507301, + "grad_norm": 1.046875, + "learning_rate": 0.000276801440132961, + "loss": 4.7698, + "mean_token_accuracy": 0.234079709649086, + "num_tokens": 11459173.0, + "step": 5100 + }, + { + "entropy": 5.4285736083984375, + "epoch": 5.519199567333694, + "grad_norm": 0.9921875, + "learning_rate": 0.0002763725319671989, + "loss": 4.8748, + "mean_token_accuracy": 0.22336506843566895, + "num_tokens": 11470232.0, + "step": 5105 + }, + { + "entropy": 5.375560235977173, + "epoch": 5.524607896160086, + "grad_norm": 1.0234375, + "learning_rate": 0.0002759436188136525, + "loss": 4.8556, + "mean_token_accuracy": 0.22446597516536712, + "num_tokens": 11481181.0, + "step": 5110 + }, + { + "entropy": 5.518925189971924, + "epoch": 5.530016224986479, + "grad_norm": 1.0, + "learning_rate": 0.00027551470223099306, + "loss": 4.9085, + "mean_token_accuracy": 0.2181531310081482, + "num_tokens": 11491772.0, + "step": 5115 + }, + { + "entropy": 5.5260766506195065, + "epoch": 5.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0002750857837779045, + "loss": 4.8638, + "mean_token_accuracy": 0.22381193935871124, + "num_tokens": 11503895.0, + "step": 5120 + }, + { + "entropy": 5.480987071990967, + "epoch": 5.540832882639265, + "grad_norm": 1.0390625, + "learning_rate": 0.0002746568650130775, + "loss": 4.889, + "mean_token_accuracy": 0.22760302275419236, + "num_tokens": 11514189.0, + "step": 5125 + }, + { + "entropy": 5.37455005645752, + "epoch": 5.546241211465657, + "grad_norm": 0.95703125, + "learning_rate": 0.0002742279474952039, + "loss": 4.9044, + "mean_token_accuracy": 0.22398550659418107, + "num_tokens": 11526142.0, + "step": 5130 + }, + { + "entropy": 5.507328224182129, + "epoch": 5.55164954029205, + "grad_norm": 1.0234375, + "learning_rate": 0.00027379903278297086, + "loss": 4.9312, + "mean_token_accuracy": 0.21721230298280716, + "num_tokens": 11537061.0, + "step": 5135 + }, + { + "entropy": 5.530687284469605, + "epoch": 5.5570578691184425, + "grad_norm": 1.0234375, + "learning_rate": 0.00027337012243505536, + "loss": 5.0297, + "mean_token_accuracy": 0.20581408888101577, + "num_tokens": 11547319.0, + "step": 5140 + }, + { + "entropy": 5.504242658615112, + "epoch": 5.562466197944835, + "grad_norm": 0.98828125, + "learning_rate": 0.00027294121801011887, + "loss": 4.9418, + "mean_token_accuracy": 0.22116187661886216, + "num_tokens": 11558766.0, + "step": 5145 + }, + { + "entropy": 5.4529502391815186, + "epoch": 5.567874526771227, + "grad_norm": 1.0, + "learning_rate": 0.00027251232106680084, + "loss": 4.8547, + "mean_token_accuracy": 0.2266584575176239, + "num_tokens": 11570039.0, + "step": 5150 + }, + { + "entropy": 5.399138593673706, + "epoch": 5.57328285559762, + "grad_norm": 1.0078125, + "learning_rate": 0.00027208343316371383, + "loss": 4.8922, + "mean_token_accuracy": 0.2278255820274353, + "num_tokens": 11581664.0, + "step": 5155 + }, + { + "entropy": 5.466609287261963, + "epoch": 5.578691184424013, + "grad_norm": 0.9296875, + "learning_rate": 0.0002716545558594373, + "loss": 4.9241, + "mean_token_accuracy": 0.2118991419672966, + "num_tokens": 11592689.0, + "step": 5160 + }, + { + "entropy": 5.508473634719849, + "epoch": 5.584099513250406, + "grad_norm": 0.99609375, + "learning_rate": 0.0002712256907125126, + "loss": 4.8443, + "mean_token_accuracy": 0.2241092950105667, + "num_tokens": 11604315.0, + "step": 5165 + }, + { + "entropy": 5.543499088287353, + "epoch": 5.589507842076799, + "grad_norm": 1.0703125, + "learning_rate": 0.0002707968392814366, + "loss": 4.9643, + "mean_token_accuracy": 0.22009238004684448, + "num_tokens": 11614510.0, + "step": 5170 + }, + { + "entropy": 5.469890308380127, + "epoch": 5.594916170903191, + "grad_norm": 0.97265625, + "learning_rate": 0.00027036800312465635, + "loss": 4.8773, + "mean_token_accuracy": 0.22867128401994705, + "num_tokens": 11625501.0, + "step": 5175 + }, + { + "entropy": 5.535786056518555, + "epoch": 5.600324499729584, + "grad_norm": 1.0546875, + "learning_rate": 0.0002699391838005634, + "loss": 4.9374, + "mean_token_accuracy": 0.22422817051410676, + "num_tokens": 11636841.0, + "step": 5180 + }, + { + "entropy": 5.418750333786011, + "epoch": 5.605732828555976, + "grad_norm": 1.0859375, + "learning_rate": 0.00026951038286748824, + "loss": 4.8465, + "mean_token_accuracy": 0.2297739565372467, + "num_tokens": 11647475.0, + "step": 5185 + }, + { + "entropy": 5.530784225463867, + "epoch": 5.611141157382368, + "grad_norm": 0.96875, + "learning_rate": 0.0002690816018836945, + "loss": 4.9507, + "mean_token_accuracy": 0.2173537626862526, + "num_tokens": 11658887.0, + "step": 5190 + }, + { + "entropy": 5.471008729934693, + "epoch": 5.616549486208761, + "grad_norm": 1.0, + "learning_rate": 0.0002686528424073731, + "loss": 5.0088, + "mean_token_accuracy": 0.21145847886800767, + "num_tokens": 11669658.0, + "step": 5195 + }, + { + "entropy": 5.535061264038086, + "epoch": 5.621957815035154, + "grad_norm": 0.953125, + "learning_rate": 0.00026822410599663704, + "loss": 4.9716, + "mean_token_accuracy": 0.21699988692998887, + "num_tokens": 11681792.0, + "step": 5200 + }, + { + "entropy": 5.509040117263794, + "epoch": 5.627366143861547, + "grad_norm": 1.078125, + "learning_rate": 0.00026779539420951554, + "loss": 4.9293, + "mean_token_accuracy": 0.21873082220554352, + "num_tokens": 11691903.0, + "step": 5205 + }, + { + "entropy": 5.532304048538208, + "epoch": 5.63277447268794, + "grad_norm": 1.0390625, + "learning_rate": 0.0002673667086039481, + "loss": 4.9355, + "mean_token_accuracy": 0.22825905084609985, + "num_tokens": 11703383.0, + "step": 5210 + }, + { + "entropy": 5.5031740188598635, + "epoch": 5.638182801514332, + "grad_norm": 1.03125, + "learning_rate": 0.0002669380507377792, + "loss": 4.9336, + "mean_token_accuracy": 0.22372952252626419, + "num_tokens": 11714721.0, + "step": 5215 + }, + { + "entropy": 5.449891853332519, + "epoch": 5.643591130340725, + "grad_norm": 1.0234375, + "learning_rate": 0.0002665094221687525, + "loss": 4.935, + "mean_token_accuracy": 0.21551574170589446, + "num_tokens": 11726016.0, + "step": 5220 + }, + { + "entropy": 5.413540506362915, + "epoch": 5.6489994591671175, + "grad_norm": 1.0234375, + "learning_rate": 0.0002660808244545054, + "loss": 4.7575, + "mean_token_accuracy": 0.23251993656158448, + "num_tokens": 11737589.0, + "step": 5225 + }, + { + "entropy": 5.4685218811035154, + "epoch": 5.6544077879935095, + "grad_norm": 0.91796875, + "learning_rate": 0.00026565225915256276, + "loss": 4.8658, + "mean_token_accuracy": 0.22948329597711564, + "num_tokens": 11747969.0, + "step": 5230 + }, + { + "entropy": 5.443226861953735, + "epoch": 5.659816116819902, + "grad_norm": 1.0625, + "learning_rate": 0.000265223727820332, + "loss": 4.836, + "mean_token_accuracy": 0.22504404336214065, + "num_tokens": 11759535.0, + "step": 5235 + }, + { + "entropy": 5.523590898513794, + "epoch": 5.665224445646295, + "grad_norm": 1.0390625, + "learning_rate": 0.0002647952320150969, + "loss": 4.9775, + "mean_token_accuracy": 0.21442292630672455, + "num_tokens": 11770863.0, + "step": 5240 + }, + { + "entropy": 5.485964727401734, + "epoch": 5.670632774472688, + "grad_norm": 1.015625, + "learning_rate": 0.0002643667732940122, + "loss": 4.9001, + "mean_token_accuracy": 0.216877081990242, + "num_tokens": 11782643.0, + "step": 5245 + }, + { + "entropy": 5.467176008224487, + "epoch": 5.676041103299081, + "grad_norm": 0.94921875, + "learning_rate": 0.00026393835321409796, + "loss": 4.933, + "mean_token_accuracy": 0.22458599954843522, + "num_tokens": 11794468.0, + "step": 5250 + }, + { + "entropy": 5.514464282989502, + "epoch": 5.681449432125473, + "grad_norm": 0.99609375, + "learning_rate": 0.00026350997333223375, + "loss": 4.8836, + "mean_token_accuracy": 0.23128425031900407, + "num_tokens": 11807051.0, + "step": 5255 + }, + { + "entropy": 5.432554149627686, + "epoch": 5.686857760951866, + "grad_norm": 1.046875, + "learning_rate": 0.00026308163520515293, + "loss": 4.9193, + "mean_token_accuracy": 0.21702346503734588, + "num_tokens": 11817067.0, + "step": 5260 + }, + { + "entropy": 5.428543901443481, + "epoch": 5.692266089778259, + "grad_norm": 0.9375, + "learning_rate": 0.00026265334038943735, + "loss": 4.919, + "mean_token_accuracy": 0.22408238500356675, + "num_tokens": 11828111.0, + "step": 5265 + }, + { + "entropy": 5.502649211883545, + "epoch": 5.6976744186046515, + "grad_norm": 0.98828125, + "learning_rate": 0.0002622250904415113, + "loss": 4.8822, + "mean_token_accuracy": 0.2273074984550476, + "num_tokens": 11838536.0, + "step": 5270 + }, + { + "entropy": 5.53525743484497, + "epoch": 5.7030827474310435, + "grad_norm": 1.0234375, + "learning_rate": 0.0002617968869176362, + "loss": 4.9228, + "mean_token_accuracy": 0.22227408438920976, + "num_tokens": 11848899.0, + "step": 5275 + }, + { + "entropy": 5.473860883712769, + "epoch": 5.708491076257436, + "grad_norm": 0.98046875, + "learning_rate": 0.0002613687313739044, + "loss": 4.9651, + "mean_token_accuracy": 0.22359169721603395, + "num_tokens": 11861023.0, + "step": 5280 + }, + { + "entropy": 5.43254508972168, + "epoch": 5.713899405083829, + "grad_norm": 1.015625, + "learning_rate": 0.0002609406253662344, + "loss": 4.9318, + "mean_token_accuracy": 0.21903841942548752, + "num_tokens": 11871953.0, + "step": 5285 + }, + { + "entropy": 5.501645612716675, + "epoch": 5.719307733910222, + "grad_norm": 1.1171875, + "learning_rate": 0.0002605125704503643, + "loss": 4.9505, + "mean_token_accuracy": 0.2237919017672539, + "num_tokens": 11882874.0, + "step": 5290 + }, + { + "entropy": 5.58112268447876, + "epoch": 5.724716062736614, + "grad_norm": 0.95703125, + "learning_rate": 0.0002600845681818467, + "loss": 4.8646, + "mean_token_accuracy": 0.22650408893823623, + "num_tokens": 11893431.0, + "step": 5295 + }, + { + "entropy": 5.454003143310547, + "epoch": 5.730124391563007, + "grad_norm": 0.9296875, + "learning_rate": 0.0002596566201160427, + "loss": 4.8851, + "mean_token_accuracy": 0.22219976037740707, + "num_tokens": 11905311.0, + "step": 5300 + }, + { + "entropy": 5.404032039642334, + "epoch": 5.7355327203894, + "grad_norm": 1.0078125, + "learning_rate": 0.00025922872780811664, + "loss": 4.9546, + "mean_token_accuracy": 0.21621623486280442, + "num_tokens": 11916342.0, + "step": 5305 + }, + { + "entropy": 5.492973470687867, + "epoch": 5.740941049215793, + "grad_norm": 1.046875, + "learning_rate": 0.00025880089281303027, + "loss": 4.9193, + "mean_token_accuracy": 0.21626884043216704, + "num_tokens": 11927485.0, + "step": 5310 + }, + { + "entropy": 5.476612329483032, + "epoch": 5.746349378042185, + "grad_norm": 1.015625, + "learning_rate": 0.00025837311668553683, + "loss": 4.8302, + "mean_token_accuracy": 0.2276885449886322, + "num_tokens": 11937968.0, + "step": 5315 + }, + { + "entropy": 5.44808611869812, + "epoch": 5.7517577068685775, + "grad_norm": 1.09375, + "learning_rate": 0.0002579454009801757, + "loss": 4.7927, + "mean_token_accuracy": 0.23528771847486496, + "num_tokens": 11947510.0, + "step": 5320 + }, + { + "entropy": 5.477059698104858, + "epoch": 5.75716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.0002575177472512669, + "loss": 4.9526, + "mean_token_accuracy": 0.2218560740351677, + "num_tokens": 11960002.0, + "step": 5325 + }, + { + "entropy": 5.444899559020996, + "epoch": 5.762574364521363, + "grad_norm": 0.9921875, + "learning_rate": 0.000257090157052905, + "loss": 4.8705, + "mean_token_accuracy": 0.21838984936475753, + "num_tokens": 11970895.0, + "step": 5330 + }, + { + "entropy": 5.459397077560425, + "epoch": 5.767982693347756, + "grad_norm": 1.015625, + "learning_rate": 0.00025666263193895375, + "loss": 4.888, + "mean_token_accuracy": 0.21968889981508255, + "num_tokens": 11982910.0, + "step": 5335 + }, + { + "entropy": 5.511087703704834, + "epoch": 5.773391022174148, + "grad_norm": 1.0546875, + "learning_rate": 0.00025623517346304027, + "loss": 4.9507, + "mean_token_accuracy": 0.21630610823631286, + "num_tokens": 11994066.0, + "step": 5340 + }, + { + "entropy": 5.47811861038208, + "epoch": 5.778799351000541, + "grad_norm": 0.96484375, + "learning_rate": 0.00025580778317855, + "loss": 4.8659, + "mean_token_accuracy": 0.22627412974834443, + "num_tokens": 12004821.0, + "step": 5345 + }, + { + "entropy": 5.475780200958252, + "epoch": 5.784207679826934, + "grad_norm": 1.0859375, + "learning_rate": 0.0002553804626386199, + "loss": 4.9451, + "mean_token_accuracy": 0.2223440647125244, + "num_tokens": 12014973.0, + "step": 5350 + }, + { + "entropy": 5.551906108856201, + "epoch": 5.789616008653326, + "grad_norm": 0.9453125, + "learning_rate": 0.0002549532133961339, + "loss": 5.0273, + "mean_token_accuracy": 0.2145695760846138, + "num_tokens": 12026528.0, + "step": 5355 + }, + { + "entropy": 5.607546472549439, + "epoch": 5.795024337479719, + "grad_norm": 1.0625, + "learning_rate": 0.00025452603700371675, + "loss": 5.0506, + "mean_token_accuracy": 0.21419217735528945, + "num_tokens": 12038733.0, + "step": 5360 + }, + { + "entropy": 5.5201372623443605, + "epoch": 5.800432666306111, + "grad_norm": 1.015625, + "learning_rate": 0.0002540989350137285, + "loss": 4.9722, + "mean_token_accuracy": 0.21627445071935653, + "num_tokens": 12049821.0, + "step": 5365 + }, + { + "entropy": 5.565732765197754, + "epoch": 5.805840995132504, + "grad_norm": 0.99609375, + "learning_rate": 0.00025367190897825873, + "loss": 4.9698, + "mean_token_accuracy": 0.21938712447881697, + "num_tokens": 12060982.0, + "step": 5370 + }, + { + "entropy": 5.489997673034668, + "epoch": 5.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 0.0002532449604491209, + "loss": 4.8542, + "mean_token_accuracy": 0.2305293619632721, + "num_tokens": 12070842.0, + "step": 5375 + }, + { + "entropy": 5.4013769149780275, + "epoch": 5.816657652785289, + "grad_norm": 1.0859375, + "learning_rate": 0.0002528180909778471, + "loss": 4.8389, + "mean_token_accuracy": 0.2326238349080086, + "num_tokens": 12080992.0, + "step": 5380 + }, + { + "entropy": 5.480729961395264, + "epoch": 5.822065981611682, + "grad_norm": 1.046875, + "learning_rate": 0.00025239130211568206, + "loss": 4.9151, + "mean_token_accuracy": 0.22242391854524612, + "num_tokens": 12091905.0, + "step": 5385 + }, + { + "entropy": 5.520739364624023, + "epoch": 5.827474310438075, + "grad_norm": 0.98828125, + "learning_rate": 0.00025196459541357725, + "loss": 4.817, + "mean_token_accuracy": 0.22727247029542924, + "num_tokens": 12101577.0, + "step": 5390 + }, + { + "entropy": 5.555675268173218, + "epoch": 5.832882639264467, + "grad_norm": 1.078125, + "learning_rate": 0.00025153797242218604, + "loss": 5.017, + "mean_token_accuracy": 0.21263125836849212, + "num_tokens": 12112593.0, + "step": 5395 + }, + { + "entropy": 5.465591239929199, + "epoch": 5.83829096809086, + "grad_norm": 1.0625, + "learning_rate": 0.00025111143469185715, + "loss": 4.8337, + "mean_token_accuracy": 0.22807640731334686, + "num_tokens": 12122947.0, + "step": 5400 + }, + { + "entropy": 5.38767294883728, + "epoch": 5.8436992969172525, + "grad_norm": 1.03125, + "learning_rate": 0.0002506849837726299, + "loss": 4.7973, + "mean_token_accuracy": 0.23990508764982224, + "num_tokens": 12133557.0, + "step": 5405 + }, + { + "entropy": 5.5033042430877686, + "epoch": 5.849107625743645, + "grad_norm": 0.9921875, + "learning_rate": 0.0002502586212142278, + "loss": 4.9525, + "mean_token_accuracy": 0.21751385182142258, + "num_tokens": 12144735.0, + "step": 5410 + }, + { + "entropy": 5.468432903289795, + "epoch": 5.854515954570038, + "grad_norm": 1.03125, + "learning_rate": 0.00024983234856605337, + "loss": 4.9072, + "mean_token_accuracy": 0.22422076314687728, + "num_tokens": 12155786.0, + "step": 5415 + }, + { + "entropy": 5.499530363082886, + "epoch": 5.85992428339643, + "grad_norm": 0.84375, + "learning_rate": 0.00024940616737718235, + "loss": 5.0033, + "mean_token_accuracy": 0.21500488370656967, + "num_tokens": 12168846.0, + "step": 5420 + }, + { + "entropy": 5.475531673431396, + "epoch": 5.865332612222823, + "grad_norm": 0.98828125, + "learning_rate": 0.0002489800791963583, + "loss": 4.8433, + "mean_token_accuracy": 0.21648556888103485, + "num_tokens": 12179743.0, + "step": 5425 + }, + { + "entropy": 5.5550652027130125, + "epoch": 5.870740941049216, + "grad_norm": 1.0546875, + "learning_rate": 0.00024855408557198657, + "loss": 4.9396, + "mean_token_accuracy": 0.2263997510075569, + "num_tokens": 12190754.0, + "step": 5430 + }, + { + "entropy": 5.522177076339721, + "epoch": 5.876149269875609, + "grad_norm": 1.0234375, + "learning_rate": 0.000248128188052129, + "loss": 4.926, + "mean_token_accuracy": 0.2201258659362793, + "num_tokens": 12201293.0, + "step": 5435 + }, + { + "entropy": 5.500701284408569, + "epoch": 5.881557598702001, + "grad_norm": 0.87890625, + "learning_rate": 0.00024770238818449804, + "loss": 4.9843, + "mean_token_accuracy": 0.22035838961601256, + "num_tokens": 12214361.0, + "step": 5440 + }, + { + "entropy": 5.56159987449646, + "epoch": 5.886965927528394, + "grad_norm": 1.0546875, + "learning_rate": 0.00024727668751645164, + "loss": 5.0753, + "mean_token_accuracy": 0.20683244466781617, + "num_tokens": 12226766.0, + "step": 5445 + }, + { + "entropy": 5.542806959152221, + "epoch": 5.8923742563547865, + "grad_norm": 1.1640625, + "learning_rate": 0.0002468510875949868, + "loss": 4.9784, + "mean_token_accuracy": 0.22004477828741073, + "num_tokens": 12237339.0, + "step": 5450 + }, + { + "entropy": 5.454771566390991, + "epoch": 5.897782585181179, + "grad_norm": 0.95703125, + "learning_rate": 0.00024642558996673474, + "loss": 4.8806, + "mean_token_accuracy": 0.233289235830307, + "num_tokens": 12248567.0, + "step": 5455 + }, + { + "entropy": 5.475730228424072, + "epoch": 5.903190914007571, + "grad_norm": 1.0546875, + "learning_rate": 0.00024600019617795465, + "loss": 4.8715, + "mean_token_accuracy": 0.22850371301174163, + "num_tokens": 12258968.0, + "step": 5460 + }, + { + "entropy": 5.529723405838013, + "epoch": 5.908599242833964, + "grad_norm": 0.94140625, + "learning_rate": 0.0002455749077745288, + "loss": 4.9315, + "mean_token_accuracy": 0.22943497598171234, + "num_tokens": 12271233.0, + "step": 5465 + }, + { + "entropy": 5.481137132644653, + "epoch": 5.914007571660357, + "grad_norm": 1.03125, + "learning_rate": 0.00024514972630195603, + "loss": 4.894, + "mean_token_accuracy": 0.21706456691026688, + "num_tokens": 12280634.0, + "step": 5470 + }, + { + "entropy": 5.46374282836914, + "epoch": 5.91941590048675, + "grad_norm": 0.9765625, + "learning_rate": 0.0002447246533053469, + "loss": 4.9344, + "mean_token_accuracy": 0.2250108987092972, + "num_tokens": 12292282.0, + "step": 5475 + }, + { + "entropy": 5.479931974411011, + "epoch": 5.924824229313142, + "grad_norm": 1.0703125, + "learning_rate": 0.00024429969032941756, + "loss": 4.9556, + "mean_token_accuracy": 0.2212103560566902, + "num_tokens": 12303940.0, + "step": 5480 + }, + { + "entropy": 5.509561538696289, + "epoch": 5.930232558139535, + "grad_norm": 1.1171875, + "learning_rate": 0.00024387483891848456, + "loss": 4.9408, + "mean_token_accuracy": 0.2256838709115982, + "num_tokens": 12315400.0, + "step": 5485 + }, + { + "entropy": 5.5094701766967775, + "epoch": 5.935640886965928, + "grad_norm": 0.91796875, + "learning_rate": 0.00024345010061645889, + "loss": 4.9519, + "mean_token_accuracy": 0.21615981161594391, + "num_tokens": 12327462.0, + "step": 5490 + }, + { + "entropy": 5.516644716262817, + "epoch": 5.9410492157923205, + "grad_norm": 0.9296875, + "learning_rate": 0.00024302547696684047, + "loss": 4.9017, + "mean_token_accuracy": 0.22320225536823274, + "num_tokens": 12338966.0, + "step": 5495 + }, + { + "entropy": 5.397993087768555, + "epoch": 5.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00024260096951271253, + "loss": 4.8006, + "mean_token_accuracy": 0.228230282664299, + "num_tokens": 12349663.0, + "step": 5500 + }, + { + "epoch": 5.9464575446187125, + "eval_entropy": 5.341046702861786, + "eval_loss": 5.824895858764648, + "eval_mean_token_accuracy": 0.18257011164995757, + "eval_num_tokens": 12349663.0, + "eval_runtime": 3.5324, + "eval_samples_per_second": 995.086, + "eval_steps_per_second": 124.563, + "step": 5500 + }, + { + "entropy": 5.416959285736084, + "epoch": 5.951865873445105, + "grad_norm": 0.890625, + "learning_rate": 0.00024217657979673634, + "loss": 4.8534, + "mean_token_accuracy": 0.22373966872692108, + "num_tokens": 12361304.0, + "step": 5505 + }, + { + "entropy": 5.374241685867309, + "epoch": 5.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.00024175230936114507, + "loss": 4.8172, + "mean_token_accuracy": 0.23078879565000535, + "num_tokens": 12372162.0, + "step": 5510 + }, + { + "entropy": 5.468687248229981, + "epoch": 5.962682531097891, + "grad_norm": 0.91015625, + "learning_rate": 0.0002413281597477384, + "loss": 4.8529, + "mean_token_accuracy": 0.22456154525279998, + "num_tokens": 12383916.0, + "step": 5515 + }, + { + "entropy": 5.549963569641113, + "epoch": 5.968090859924283, + "grad_norm": 1.0859375, + "learning_rate": 0.00024090413249787696, + "loss": 4.9632, + "mean_token_accuracy": 0.21773760467767717, + "num_tokens": 12394787.0, + "step": 5520 + }, + { + "entropy": 5.505368185043335, + "epoch": 5.973499188750676, + "grad_norm": 0.99609375, + "learning_rate": 0.0002404802291524768, + "loss": 4.8776, + "mean_token_accuracy": 0.23071094900369643, + "num_tokens": 12405905.0, + "step": 5525 + }, + { + "entropy": 5.4695710182189945, + "epoch": 5.978907517577069, + "grad_norm": 0.9140625, + "learning_rate": 0.00024005645125200375, + "loss": 4.9449, + "mean_token_accuracy": 0.2118888556957245, + "num_tokens": 12416785.0, + "step": 5530 + }, + { + "entropy": 5.4431023597717285, + "epoch": 5.984315846403462, + "grad_norm": 0.96484375, + "learning_rate": 0.0002396328003364675, + "loss": 4.8562, + "mean_token_accuracy": 0.22554307878017427, + "num_tokens": 12427900.0, + "step": 5535 + }, + { + "entropy": 5.566122770309448, + "epoch": 5.9897241752298545, + "grad_norm": 0.9765625, + "learning_rate": 0.00023920927794541665, + "loss": 4.9858, + "mean_token_accuracy": 0.22574359327554702, + "num_tokens": 12439823.0, + "step": 5540 + }, + { + "entropy": 5.481858730316162, + "epoch": 5.995132504056246, + "grad_norm": 0.97265625, + "learning_rate": 0.0002387858856179324, + "loss": 4.9084, + "mean_token_accuracy": 0.21990197598934175, + "num_tokens": 12450988.0, + "step": 5545 + }, + { + "entropy": 5.593845897250706, + "epoch": 6.0, + "grad_norm": 1.59375, + "learning_rate": 0.00023836262489262361, + "loss": 4.9818, + "mean_token_accuracy": 0.2241312480635113, + "num_tokens": 12461334.0, + "step": 5550 + }, + { + "entropy": 5.482817697525024, + "epoch": 6.005408328826393, + "grad_norm": 1.0234375, + "learning_rate": 0.00023793949730762049, + "loss": 4.711, + "mean_token_accuracy": 0.23801302611827851, + "num_tokens": 12473206.0, + "step": 5555 + }, + { + "entropy": 5.48074688911438, + "epoch": 6.010816657652786, + "grad_norm": 0.96484375, + "learning_rate": 0.00023751650440056982, + "loss": 4.8304, + "mean_token_accuracy": 0.22817761451005936, + "num_tokens": 12484247.0, + "step": 5560 + }, + { + "entropy": 5.4692436218261715, + "epoch": 6.016224986479178, + "grad_norm": 1.015625, + "learning_rate": 0.00023709364770862885, + "loss": 4.7426, + "mean_token_accuracy": 0.23947408199310302, + "num_tokens": 12495234.0, + "step": 5565 + }, + { + "entropy": 5.456657409667969, + "epoch": 6.0216333153055706, + "grad_norm": 1.1015625, + "learning_rate": 0.00023667092876845976, + "loss": 4.855, + "mean_token_accuracy": 0.2362171694636345, + "num_tokens": 12506516.0, + "step": 5570 + }, + { + "entropy": 5.474831008911133, + "epoch": 6.027041644131963, + "grad_norm": 1.046875, + "learning_rate": 0.0002362483491162239, + "loss": 4.7585, + "mean_token_accuracy": 0.23608235716819764, + "num_tokens": 12517238.0, + "step": 5575 + }, + { + "entropy": 5.505292367935181, + "epoch": 6.032449972958356, + "grad_norm": 1.0, + "learning_rate": 0.00023582591028757706, + "loss": 4.7658, + "mean_token_accuracy": 0.2349627658724785, + "num_tokens": 12527212.0, + "step": 5580 + }, + { + "entropy": 5.498833179473877, + "epoch": 6.037858301784748, + "grad_norm": 1.140625, + "learning_rate": 0.00023540361381766274, + "loss": 4.7521, + "mean_token_accuracy": 0.24202902466058732, + "num_tokens": 12537939.0, + "step": 5585 + }, + { + "entropy": 5.450468730926514, + "epoch": 6.043266630611141, + "grad_norm": 1.1015625, + "learning_rate": 0.0002349814612411073, + "loss": 4.7608, + "mean_token_accuracy": 0.2359851762652397, + "num_tokens": 12547987.0, + "step": 5590 + }, + { + "entropy": 5.448811483383179, + "epoch": 6.048674959437534, + "grad_norm": 1.078125, + "learning_rate": 0.00023455945409201411, + "loss": 4.7812, + "mean_token_accuracy": 0.22653527408838273, + "num_tokens": 12558505.0, + "step": 5595 + }, + { + "entropy": 5.464963436126709, + "epoch": 6.054083288263927, + "grad_norm": 0.94921875, + "learning_rate": 0.00023413759390395828, + "loss": 4.7156, + "mean_token_accuracy": 0.2361931696534157, + "num_tokens": 12569748.0, + "step": 5600 + }, + { + "entropy": 5.405935955047608, + "epoch": 6.059491617090319, + "grad_norm": 0.97265625, + "learning_rate": 0.0002337158822099807, + "loss": 4.6811, + "mean_token_accuracy": 0.23703676611185073, + "num_tokens": 12581420.0, + "step": 5605 + }, + { + "entropy": 5.496515464782715, + "epoch": 6.064899945916712, + "grad_norm": 0.97265625, + "learning_rate": 0.0002332943205425825, + "loss": 4.7871, + "mean_token_accuracy": 0.23721451163291932, + "num_tokens": 12593781.0, + "step": 5610 + }, + { + "entropy": 5.41494345664978, + "epoch": 6.0703082747431045, + "grad_norm": 0.96875, + "learning_rate": 0.00023287291043371978, + "loss": 4.7303, + "mean_token_accuracy": 0.23353902548551558, + "num_tokens": 12606264.0, + "step": 5615 + }, + { + "entropy": 5.530503511428833, + "epoch": 6.075716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.00023245165341479796, + "loss": 4.7879, + "mean_token_accuracy": 0.23578621298074723, + "num_tokens": 12617419.0, + "step": 5620 + }, + { + "entropy": 5.488958168029785, + "epoch": 6.081124932395889, + "grad_norm": 0.9921875, + "learning_rate": 0.00023203055101666593, + "loss": 4.7215, + "mean_token_accuracy": 0.23366791605949402, + "num_tokens": 12628628.0, + "step": 5625 + }, + { + "entropy": 5.430446004867553, + "epoch": 6.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 0.0002316096047696108, + "loss": 4.7062, + "mean_token_accuracy": 0.236600761115551, + "num_tokens": 12638375.0, + "step": 5630 + }, + { + "entropy": 5.397326183319092, + "epoch": 6.091941590048675, + "grad_norm": 1.0078125, + "learning_rate": 0.0002311888162033522, + "loss": 4.7394, + "mean_token_accuracy": 0.22856123596429825, + "num_tokens": 12649174.0, + "step": 5635 + }, + { + "entropy": 5.44256558418274, + "epoch": 6.097349918875068, + "grad_norm": 1.1171875, + "learning_rate": 0.00023076818684703682, + "loss": 4.699, + "mean_token_accuracy": 0.24027512669563295, + "num_tokens": 12659454.0, + "step": 5640 + }, + { + "entropy": 5.453388214111328, + "epoch": 6.10275824770146, + "grad_norm": 0.890625, + "learning_rate": 0.00023034771822923268, + "loss": 4.7424, + "mean_token_accuracy": 0.23804700821638108, + "num_tokens": 12672093.0, + "step": 5645 + }, + { + "entropy": 5.454080533981323, + "epoch": 6.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0002299274118779236, + "loss": 4.785, + "mean_token_accuracy": 0.2312723308801651, + "num_tokens": 12683628.0, + "step": 5650 + }, + { + "entropy": 5.4466057300567625, + "epoch": 6.113574905354246, + "grad_norm": 1.046875, + "learning_rate": 0.00022950726932050386, + "loss": 4.7334, + "mean_token_accuracy": 0.23570535182952881, + "num_tokens": 12694726.0, + "step": 5655 + }, + { + "entropy": 5.5058012962341305, + "epoch": 6.1189832341806385, + "grad_norm": 1.0234375, + "learning_rate": 0.00022908729208377267, + "loss": 4.7932, + "mean_token_accuracy": 0.23238887786865234, + "num_tokens": 12705292.0, + "step": 5660 + }, + { + "entropy": 5.484908533096314, + "epoch": 6.1243915630070305, + "grad_norm": 0.96484375, + "learning_rate": 0.00022866748169392815, + "loss": 4.7849, + "mean_token_accuracy": 0.23078074902296067, + "num_tokens": 12717721.0, + "step": 5665 + }, + { + "entropy": 5.498049545288086, + "epoch": 6.129799891833423, + "grad_norm": 1.1171875, + "learning_rate": 0.00022824783967656208, + "loss": 4.7845, + "mean_token_accuracy": 0.2278717815876007, + "num_tokens": 12728360.0, + "step": 5670 + }, + { + "entropy": 5.479033756256103, + "epoch": 6.135208220659816, + "grad_norm": 0.99609375, + "learning_rate": 0.00022782836755665475, + "loss": 4.8063, + "mean_token_accuracy": 0.23036560267210007, + "num_tokens": 12739771.0, + "step": 5675 + }, + { + "entropy": 5.458578395843506, + "epoch": 6.140616549486209, + "grad_norm": 0.9921875, + "learning_rate": 0.00022740906685856876, + "loss": 4.7555, + "mean_token_accuracy": 0.23326312750577927, + "num_tokens": 12750024.0, + "step": 5680 + }, + { + "entropy": 5.433383131027222, + "epoch": 6.146024878312601, + "grad_norm": 1.03125, + "learning_rate": 0.00022698993910604383, + "loss": 4.7345, + "mean_token_accuracy": 0.23391510397195817, + "num_tokens": 12761160.0, + "step": 5685 + }, + { + "entropy": 5.495377540588379, + "epoch": 6.151433207138994, + "grad_norm": 1.0, + "learning_rate": 0.000226570985822191, + "loss": 4.7313, + "mean_token_accuracy": 0.24146672785282136, + "num_tokens": 12773043.0, + "step": 5690 + }, + { + "entropy": 5.40164361000061, + "epoch": 6.156841535965387, + "grad_norm": 0.984375, + "learning_rate": 0.00022615220852948765, + "loss": 4.7302, + "mean_token_accuracy": 0.23376860320568085, + "num_tokens": 12783479.0, + "step": 5695 + }, + { + "entropy": 5.515926313400269, + "epoch": 6.16224986479178, + "grad_norm": 0.93359375, + "learning_rate": 0.00022573360874977145, + "loss": 4.8247, + "mean_token_accuracy": 0.23175337463617324, + "num_tokens": 12794889.0, + "step": 5700 + }, + { + "entropy": 5.480621385574341, + "epoch": 6.167658193618172, + "grad_norm": 1.0625, + "learning_rate": 0.00022531518800423484, + "loss": 4.7982, + "mean_token_accuracy": 0.22605834305286407, + "num_tokens": 12806161.0, + "step": 5705 + }, + { + "entropy": 5.527550983428955, + "epoch": 6.173066522444564, + "grad_norm": 0.9609375, + "learning_rate": 0.0002248969478134199, + "loss": 4.8218, + "mean_token_accuracy": 0.23102053105831147, + "num_tokens": 12817829.0, + "step": 5710 + }, + { + "entropy": 5.474001789093018, + "epoch": 6.178474851270957, + "grad_norm": 1.15625, + "learning_rate": 0.00022447888969721232, + "loss": 4.8695, + "mean_token_accuracy": 0.22121107429265977, + "num_tokens": 12828212.0, + "step": 5715 + }, + { + "entropy": 5.518413400650024, + "epoch": 6.18388318009735, + "grad_norm": 1.109375, + "learning_rate": 0.00022406101517483636, + "loss": 4.7935, + "mean_token_accuracy": 0.23179168701171876, + "num_tokens": 12840058.0, + "step": 5720 + }, + { + "entropy": 5.461467647552491, + "epoch": 6.189291508923742, + "grad_norm": 0.88671875, + "learning_rate": 0.00022364332576484897, + "loss": 4.7839, + "mean_token_accuracy": 0.230883426964283, + "num_tokens": 12852833.0, + "step": 5725 + }, + { + "entropy": 5.48510422706604, + "epoch": 6.194699837750135, + "grad_norm": 1.0078125, + "learning_rate": 0.0002232258229851345, + "loss": 4.7751, + "mean_token_accuracy": 0.23518833070993422, + "num_tokens": 12863487.0, + "step": 5730 + }, + { + "entropy": 5.440191650390625, + "epoch": 6.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00022280850835289885, + "loss": 4.6923, + "mean_token_accuracy": 0.23732944577932358, + "num_tokens": 12873952.0, + "step": 5735 + }, + { + "entropy": 5.431076765060425, + "epoch": 6.205516495402921, + "grad_norm": 1.140625, + "learning_rate": 0.00022239138338466452, + "loss": 4.7793, + "mean_token_accuracy": 0.23101767003536225, + "num_tokens": 12884462.0, + "step": 5740 + }, + { + "entropy": 5.446973085403442, + "epoch": 6.210924824229313, + "grad_norm": 1.078125, + "learning_rate": 0.00022197444959626451, + "loss": 4.727, + "mean_token_accuracy": 0.23917102962732315, + "num_tokens": 12894996.0, + "step": 5745 + }, + { + "entropy": 5.430508470535278, + "epoch": 6.2163331530557056, + "grad_norm": 1.0625, + "learning_rate": 0.00022155770850283723, + "loss": 4.7103, + "mean_token_accuracy": 0.2357731357216835, + "num_tokens": 12906256.0, + "step": 5750 + }, + { + "entropy": 5.462933015823364, + "epoch": 6.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.00022114116161882065, + "loss": 4.8337, + "mean_token_accuracy": 0.2271495670080185, + "num_tokens": 12918738.0, + "step": 5755 + }, + { + "entropy": 5.434539031982422, + "epoch": 6.227149810708491, + "grad_norm": 1.0, + "learning_rate": 0.00022072481045794733, + "loss": 4.7419, + "mean_token_accuracy": 0.2339697703719139, + "num_tokens": 12929918.0, + "step": 5760 + }, + { + "entropy": 5.537877035140991, + "epoch": 6.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.00022030865653323823, + "loss": 4.8251, + "mean_token_accuracy": 0.23042406886816025, + "num_tokens": 12941427.0, + "step": 5765 + }, + { + "entropy": 5.459821033477783, + "epoch": 6.237966468361276, + "grad_norm": 0.9921875, + "learning_rate": 0.0002198927013569977, + "loss": 4.755, + "mean_token_accuracy": 0.23522372245788575, + "num_tokens": 12952889.0, + "step": 5770 + }, + { + "entropy": 5.45594425201416, + "epoch": 6.243374797187669, + "grad_norm": 1.0859375, + "learning_rate": 0.0002194769464408076, + "loss": 4.7728, + "mean_token_accuracy": 0.23804499059915543, + "num_tokens": 12962928.0, + "step": 5775 + }, + { + "entropy": 5.472302389144898, + "epoch": 6.248783126014062, + "grad_norm": 1.1484375, + "learning_rate": 0.0002190613932955226, + "loss": 4.7282, + "mean_token_accuracy": 0.24171511083841324, + "num_tokens": 12972901.0, + "step": 5780 + }, + { + "entropy": 5.48187289237976, + "epoch": 6.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00021864604343126365, + "loss": 4.8139, + "mean_token_accuracy": 0.23290316462516786, + "num_tokens": 12985296.0, + "step": 5785 + }, + { + "entropy": 5.538161706924439, + "epoch": 6.259599783666847, + "grad_norm": 0.9921875, + "learning_rate": 0.00021823089835741312, + "loss": 4.881, + "mean_token_accuracy": 0.22790266275405885, + "num_tokens": 12997069.0, + "step": 5790 + }, + { + "entropy": 5.485204887390137, + "epoch": 6.2650081124932395, + "grad_norm": 1.046875, + "learning_rate": 0.000217815959582609, + "loss": 4.7595, + "mean_token_accuracy": 0.23940668255090714, + "num_tokens": 13007147.0, + "step": 5795 + }, + { + "entropy": 5.438343048095703, + "epoch": 6.270416441319632, + "grad_norm": 0.984375, + "learning_rate": 0.00021740122861473992, + "loss": 4.7979, + "mean_token_accuracy": 0.23777374029159545, + "num_tokens": 13019084.0, + "step": 5800 + }, + { + "entropy": 5.5151256084442135, + "epoch": 6.275824770146025, + "grad_norm": 0.93359375, + "learning_rate": 0.00021698670696093932, + "loss": 4.8021, + "mean_token_accuracy": 0.23370311856269838, + "num_tokens": 13030751.0, + "step": 5805 + }, + { + "entropy": 5.4750467300415036, + "epoch": 6.281233098972417, + "grad_norm": 0.98046875, + "learning_rate": 0.00021657239612757963, + "loss": 4.7488, + "mean_token_accuracy": 0.23250595033168792, + "num_tokens": 13042731.0, + "step": 5810 + }, + { + "entropy": 5.464777565002441, + "epoch": 6.28664142779881, + "grad_norm": 1.0546875, + "learning_rate": 0.00021615829762026734, + "loss": 4.7205, + "mean_token_accuracy": 0.23873378783464433, + "num_tokens": 13053442.0, + "step": 5815 + }, + { + "entropy": 5.484056568145752, + "epoch": 6.292049756625203, + "grad_norm": 1.125, + "learning_rate": 0.00021574441294383752, + "loss": 4.7793, + "mean_token_accuracy": 0.2335501179099083, + "num_tokens": 13063911.0, + "step": 5820 + }, + { + "entropy": 5.4915848731994625, + "epoch": 6.297458085451596, + "grad_norm": 0.91796875, + "learning_rate": 0.00021533074360234806, + "loss": 4.8487, + "mean_token_accuracy": 0.22842135578393935, + "num_tokens": 13075887.0, + "step": 5825 + }, + { + "entropy": 5.432464218139648, + "epoch": 6.302866414277988, + "grad_norm": 1.0859375, + "learning_rate": 0.00021491729109907414, + "loss": 4.7111, + "mean_token_accuracy": 0.24290824681520462, + "num_tokens": 13087320.0, + "step": 5830 + }, + { + "entropy": 5.4360270500183105, + "epoch": 6.308274743104381, + "grad_norm": 1.0078125, + "learning_rate": 0.00021450405693650333, + "loss": 4.7483, + "mean_token_accuracy": 0.2368444621562958, + "num_tokens": 13099078.0, + "step": 5835 + }, + { + "entropy": 5.488501501083374, + "epoch": 6.3136830719307735, + "grad_norm": 1.0078125, + "learning_rate": 0.00021409104261632932, + "loss": 4.8415, + "mean_token_accuracy": 0.23506940752267838, + "num_tokens": 13111909.0, + "step": 5840 + }, + { + "entropy": 5.4188000679016115, + "epoch": 6.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.00021367824963944727, + "loss": 4.736, + "mean_token_accuracy": 0.2346210688352585, + "num_tokens": 13123297.0, + "step": 5845 + }, + { + "entropy": 5.407528495788574, + "epoch": 6.324499729583558, + "grad_norm": 1.0078125, + "learning_rate": 0.00021326567950594766, + "loss": 4.7807, + "mean_token_accuracy": 0.23231735378503798, + "num_tokens": 13133959.0, + "step": 5850 + }, + { + "entropy": 5.401265668869018, + "epoch": 6.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.0002128533337151114, + "loss": 4.6422, + "mean_token_accuracy": 0.24409369081258775, + "num_tokens": 13144858.0, + "step": 5855 + }, + { + "entropy": 5.4279073715209964, + "epoch": 6.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.0002124412137654041, + "loss": 4.7921, + "mean_token_accuracy": 0.2318548381328583, + "num_tokens": 13156437.0, + "step": 5860 + }, + { + "entropy": 5.446533298492431, + "epoch": 6.340724716062737, + "grad_norm": 1.046875, + "learning_rate": 0.00021202932115447056, + "loss": 4.7419, + "mean_token_accuracy": 0.24057282507419586, + "num_tokens": 13166860.0, + "step": 5865 + }, + { + "entropy": 5.4611639976501465, + "epoch": 6.346133044889129, + "grad_norm": 1.078125, + "learning_rate": 0.00021161765737912937, + "loss": 4.8228, + "mean_token_accuracy": 0.23280464708805085, + "num_tokens": 13178563.0, + "step": 5870 + }, + { + "entropy": 5.496692562103272, + "epoch": 6.351541373715522, + "grad_norm": 1.0703125, + "learning_rate": 0.00021120622393536775, + "loss": 4.7578, + "mean_token_accuracy": 0.22650425583124162, + "num_tokens": 13189915.0, + "step": 5875 + }, + { + "entropy": 5.509976005554199, + "epoch": 6.356949702541915, + "grad_norm": 1.125, + "learning_rate": 0.00021079502231833585, + "loss": 4.7769, + "mean_token_accuracy": 0.2329890564084053, + "num_tokens": 13201767.0, + "step": 5880 + }, + { + "entropy": 5.455395841598511, + "epoch": 6.3623580313683075, + "grad_norm": 1.1484375, + "learning_rate": 0.00021038405402234116, + "loss": 4.7817, + "mean_token_accuracy": 0.23451150208711624, + "num_tokens": 13212265.0, + "step": 5885 + }, + { + "entropy": 5.424297761917114, + "epoch": 6.367766360194699, + "grad_norm": 0.94140625, + "learning_rate": 0.0002099733205408435, + "loss": 4.8023, + "mean_token_accuracy": 0.23045464754104614, + "num_tokens": 13223503.0, + "step": 5890 + }, + { + "entropy": 5.491450643539428, + "epoch": 6.373174689021092, + "grad_norm": 1.1015625, + "learning_rate": 0.0002095628233664492, + "loss": 4.7904, + "mean_token_accuracy": 0.22897710502147675, + "num_tokens": 13234797.0, + "step": 5895 + }, + { + "entropy": 5.440606880187988, + "epoch": 6.378583017847485, + "grad_norm": 1.046875, + "learning_rate": 0.0002091525639909061, + "loss": 4.7548, + "mean_token_accuracy": 0.2377723589539528, + "num_tokens": 13246421.0, + "step": 5900 + }, + { + "entropy": 5.4440460205078125, + "epoch": 6.383991346673878, + "grad_norm": 0.96875, + "learning_rate": 0.00020874254390509757, + "loss": 4.7624, + "mean_token_accuracy": 0.23135251700878143, + "num_tokens": 13256747.0, + "step": 5905 + }, + { + "entropy": 5.482359123229981, + "epoch": 6.38939967550027, + "grad_norm": 1.1484375, + "learning_rate": 0.00020833276459903766, + "loss": 4.74, + "mean_token_accuracy": 0.23761427402496338, + "num_tokens": 13267620.0, + "step": 5910 + }, + { + "entropy": 5.496868753433228, + "epoch": 6.394808004326663, + "grad_norm": 1.03125, + "learning_rate": 0.0002079232275618651, + "loss": 4.7261, + "mean_token_accuracy": 0.23711277842521666, + "num_tokens": 13277818.0, + "step": 5915 + }, + { + "entropy": 5.354647064208985, + "epoch": 6.400216333153056, + "grad_norm": 1.0546875, + "learning_rate": 0.0002075139342818388, + "loss": 4.6986, + "mean_token_accuracy": 0.2438313126564026, + "num_tokens": 13289905.0, + "step": 5920 + }, + { + "entropy": 5.426370525360108, + "epoch": 6.405624661979449, + "grad_norm": 0.92578125, + "learning_rate": 0.00020710488624633118, + "loss": 4.6988, + "mean_token_accuracy": 0.23948602080345155, + "num_tokens": 13302465.0, + "step": 5925 + }, + { + "entropy": 5.454558897018432, + "epoch": 6.411032990805841, + "grad_norm": 1.078125, + "learning_rate": 0.00020669608494182384, + "loss": 4.7905, + "mean_token_accuracy": 0.2280614882707596, + "num_tokens": 13314366.0, + "step": 5930 + }, + { + "entropy": 5.339557838439942, + "epoch": 6.416441319632233, + "grad_norm": 1.0078125, + "learning_rate": 0.00020628753185390164, + "loss": 4.639, + "mean_token_accuracy": 0.24252013713121415, + "num_tokens": 13324981.0, + "step": 5935 + }, + { + "entropy": 5.456610202789307, + "epoch": 6.421849648458626, + "grad_norm": 1.015625, + "learning_rate": 0.0002058792284672475, + "loss": 4.7473, + "mean_token_accuracy": 0.234878046810627, + "num_tokens": 13335705.0, + "step": 5940 + }, + { + "entropy": 5.3233154296875, + "epoch": 6.427257977285019, + "grad_norm": 1.015625, + "learning_rate": 0.0002054711762656369, + "loss": 4.6921, + "mean_token_accuracy": 0.23819227814674376, + "num_tokens": 13346515.0, + "step": 5945 + }, + { + "entropy": 5.402464580535889, + "epoch": 6.432666306111411, + "grad_norm": 1.0078125, + "learning_rate": 0.00020506337673193236, + "loss": 4.7412, + "mean_token_accuracy": 0.23467027246952057, + "num_tokens": 13357780.0, + "step": 5950 + }, + { + "entropy": 5.4471968650817875, + "epoch": 6.438074634937804, + "grad_norm": 0.98828125, + "learning_rate": 0.00020465583134807836, + "loss": 4.7435, + "mean_token_accuracy": 0.24032192826271057, + "num_tokens": 13369549.0, + "step": 5955 + }, + { + "entropy": 5.520180511474609, + "epoch": 6.443482963764197, + "grad_norm": 1.0390625, + "learning_rate": 0.00020424854159509587, + "loss": 4.8087, + "mean_token_accuracy": 0.2298721730709076, + "num_tokens": 13380259.0, + "step": 5960 + }, + { + "entropy": 5.495610284805298, + "epoch": 6.44889129259059, + "grad_norm": 1.171875, + "learning_rate": 0.0002038415089530767, + "loss": 4.8364, + "mean_token_accuracy": 0.2270108386874199, + "num_tokens": 13392049.0, + "step": 5965 + }, + { + "entropy": 5.467788505554199, + "epoch": 6.4542996214169825, + "grad_norm": 1.09375, + "learning_rate": 0.00020343473490117846, + "loss": 4.7871, + "mean_token_accuracy": 0.22844729274511338, + "num_tokens": 13403874.0, + "step": 5970 + }, + { + "entropy": 5.432657051086426, + "epoch": 6.4597079502433745, + "grad_norm": 1.1171875, + "learning_rate": 0.00020302822091761884, + "loss": 4.7664, + "mean_token_accuracy": 0.2360194906592369, + "num_tokens": 13415194.0, + "step": 5975 + }, + { + "entropy": 5.463835048675537, + "epoch": 6.465116279069767, + "grad_norm": 1.203125, + "learning_rate": 0.00020262196847967091, + "loss": 4.7913, + "mean_token_accuracy": 0.23191041946411134, + "num_tokens": 13425159.0, + "step": 5980 + }, + { + "entropy": 5.454825782775879, + "epoch": 6.47052460789616, + "grad_norm": 0.98828125, + "learning_rate": 0.00020221597906365667, + "loss": 4.7798, + "mean_token_accuracy": 0.23226822465658187, + "num_tokens": 13437279.0, + "step": 5985 + }, + { + "entropy": 5.478639888763428, + "epoch": 6.475932936722553, + "grad_norm": 0.95703125, + "learning_rate": 0.00020181025414494285, + "loss": 4.7898, + "mean_token_accuracy": 0.2360480844974518, + "num_tokens": 13449170.0, + "step": 5990 + }, + { + "entropy": 5.514584064483643, + "epoch": 6.481341265548945, + "grad_norm": 1.0546875, + "learning_rate": 0.0002014047951979344, + "loss": 4.8438, + "mean_token_accuracy": 0.22370945364236833, + "num_tokens": 13460216.0, + "step": 5995 + }, + { + "entropy": 5.464205169677735, + "epoch": 6.486749594375338, + "grad_norm": 1.0625, + "learning_rate": 0.0002009996036960704, + "loss": 4.7955, + "mean_token_accuracy": 0.2337394878268242, + "num_tokens": 13470468.0, + "step": 6000 + }, + { + "epoch": 6.486749594375338, + "eval_entropy": 5.356367090615359, + "eval_loss": 5.836918830871582, + "eval_mean_token_accuracy": 0.18327153573997995, + "eval_num_tokens": 13470468.0, + "eval_runtime": 3.5524, + "eval_samples_per_second": 989.467, + "eval_steps_per_second": 123.859, + "step": 6000 + }, + { + "entropy": 5.4838872909545895, + "epoch": 6.492157923201731, + "grad_norm": 0.9765625, + "learning_rate": 0.00020059468111181757, + "loss": 4.8355, + "mean_token_accuracy": 0.2325873091816902, + "num_tokens": 13482690.0, + "step": 6005 + }, + { + "entropy": 5.377634334564209, + "epoch": 6.497566252028124, + "grad_norm": 1.0, + "learning_rate": 0.00020019002891666555, + "loss": 4.7039, + "mean_token_accuracy": 0.24070921093225478, + "num_tokens": 13494806.0, + "step": 6010 + }, + { + "entropy": 5.371237802505493, + "epoch": 6.502974580854516, + "grad_norm": 1.03125, + "learning_rate": 0.00019978564858112125, + "loss": 4.7015, + "mean_token_accuracy": 0.24223154485225679, + "num_tokens": 13506968.0, + "step": 6015 + }, + { + "entropy": 5.492704820632935, + "epoch": 6.5083829096809085, + "grad_norm": 1.03125, + "learning_rate": 0.00019938154157470378, + "loss": 4.8381, + "mean_token_accuracy": 0.2364162266254425, + "num_tokens": 13518817.0, + "step": 6020 + }, + { + "entropy": 5.4859953880310055, + "epoch": 6.513791238507301, + "grad_norm": 1.0859375, + "learning_rate": 0.00019897770936593912, + "loss": 4.7452, + "mean_token_accuracy": 0.24185479283332825, + "num_tokens": 13529054.0, + "step": 6025 + }, + { + "entropy": 5.4339841365814205, + "epoch": 6.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.0001985741534223543, + "loss": 4.7583, + "mean_token_accuracy": 0.23412617295980453, + "num_tokens": 13540462.0, + "step": 6030 + }, + { + "entropy": 5.528876304626465, + "epoch": 6.524607896160086, + "grad_norm": 1.1640625, + "learning_rate": 0.00019817087521047244, + "loss": 4.8767, + "mean_token_accuracy": 0.22286273241043092, + "num_tokens": 13551949.0, + "step": 6035 + }, + { + "entropy": 5.508295059204102, + "epoch": 6.530016224986479, + "grad_norm": 1.0078125, + "learning_rate": 0.00019776787619580767, + "loss": 4.8043, + "mean_token_accuracy": 0.23924179673194884, + "num_tokens": 13562567.0, + "step": 6040 + }, + { + "entropy": 5.43859338760376, + "epoch": 6.535424553812872, + "grad_norm": 1.1484375, + "learning_rate": 0.0001973651578428593, + "loss": 4.7628, + "mean_token_accuracy": 0.23885137885808944, + "num_tokens": 13573696.0, + "step": 6045 + }, + { + "entropy": 5.490781259536743, + "epoch": 6.540832882639265, + "grad_norm": 1.046875, + "learning_rate": 0.00019696272161510663, + "loss": 4.8612, + "mean_token_accuracy": 0.22521820068359374, + "num_tokens": 13585941.0, + "step": 6050 + }, + { + "entropy": 5.4247150897979735, + "epoch": 6.546241211465657, + "grad_norm": 1.09375, + "learning_rate": 0.00019656056897500408, + "loss": 4.6436, + "mean_token_accuracy": 0.2483742877840996, + "num_tokens": 13597665.0, + "step": 6055 + }, + { + "entropy": 5.382246017456055, + "epoch": 6.55164954029205, + "grad_norm": 1.15625, + "learning_rate": 0.00019615870138397506, + "loss": 4.7428, + "mean_token_accuracy": 0.229461170732975, + "num_tokens": 13608732.0, + "step": 6060 + }, + { + "entropy": 5.559137582778931, + "epoch": 6.5570578691184425, + "grad_norm": 1.1328125, + "learning_rate": 0.0001957571203024075, + "loss": 4.8794, + "mean_token_accuracy": 0.2277083858847618, + "num_tokens": 13620710.0, + "step": 6065 + }, + { + "entropy": 5.4016365051269535, + "epoch": 6.562466197944835, + "grad_norm": 1.0234375, + "learning_rate": 0.00019535582718964773, + "loss": 4.7, + "mean_token_accuracy": 0.22991207093000413, + "num_tokens": 13632157.0, + "step": 6070 + }, + { + "entropy": 5.468547010421753, + "epoch": 6.567874526771227, + "grad_norm": 1.078125, + "learning_rate": 0.00019495482350399612, + "loss": 4.721, + "mean_token_accuracy": 0.2484972819685936, + "num_tokens": 13642833.0, + "step": 6075 + }, + { + "entropy": 5.477743625640869, + "epoch": 6.57328285559762, + "grad_norm": 1.0703125, + "learning_rate": 0.0001945541107027009, + "loss": 4.8397, + "mean_token_accuracy": 0.23110663294792175, + "num_tokens": 13654985.0, + "step": 6080 + }, + { + "entropy": 5.4450866222381595, + "epoch": 6.578691184424013, + "grad_norm": 1.046875, + "learning_rate": 0.0001941536902419533, + "loss": 4.785, + "mean_token_accuracy": 0.23091002255678178, + "num_tokens": 13666180.0, + "step": 6085 + }, + { + "entropy": 5.426376247406006, + "epoch": 6.584099513250406, + "grad_norm": 0.97265625, + "learning_rate": 0.00019375356357688206, + "loss": 4.7357, + "mean_token_accuracy": 0.24122271835803985, + "num_tokens": 13677993.0, + "step": 6090 + }, + { + "entropy": 5.533717823028565, + "epoch": 6.589507842076799, + "grad_norm": 1.203125, + "learning_rate": 0.00019335373216154862, + "loss": 4.8881, + "mean_token_accuracy": 0.23069773763418197, + "num_tokens": 13687427.0, + "step": 6095 + }, + { + "entropy": 5.422270774841309, + "epoch": 6.594916170903191, + "grad_norm": 1.1171875, + "learning_rate": 0.00019295419744894116, + "loss": 4.7115, + "mean_token_accuracy": 0.24273773580789565, + "num_tokens": 13698255.0, + "step": 6100 + }, + { + "entropy": 5.492586517333985, + "epoch": 6.600324499729584, + "grad_norm": 0.98828125, + "learning_rate": 0.00019255496089096985, + "loss": 4.8158, + "mean_token_accuracy": 0.22930402904748917, + "num_tokens": 13710471.0, + "step": 6105 + }, + { + "entropy": 5.522595310211182, + "epoch": 6.605732828555976, + "grad_norm": 1.0390625, + "learning_rate": 0.00019215602393846104, + "loss": 4.9235, + "mean_token_accuracy": 0.227778759598732, + "num_tokens": 13721605.0, + "step": 6110 + }, + { + "entropy": 5.461326646804809, + "epoch": 6.611141157382368, + "grad_norm": 1.0703125, + "learning_rate": 0.00019175738804115279, + "loss": 4.7891, + "mean_token_accuracy": 0.2319536179304123, + "num_tokens": 13732639.0, + "step": 6115 + }, + { + "entropy": 5.454809093475342, + "epoch": 6.616549486208761, + "grad_norm": 1.09375, + "learning_rate": 0.00019135905464768882, + "loss": 4.7584, + "mean_token_accuracy": 0.23282596617937087, + "num_tokens": 13743644.0, + "step": 6120 + }, + { + "entropy": 5.429327869415284, + "epoch": 6.621957815035154, + "grad_norm": 0.99609375, + "learning_rate": 0.00019096102520561344, + "loss": 4.6881, + "mean_token_accuracy": 0.24907640665769576, + "num_tokens": 13754887.0, + "step": 6125 + }, + { + "entropy": 5.459971714019775, + "epoch": 6.627366143861547, + "grad_norm": 1.125, + "learning_rate": 0.00019056330116136666, + "loss": 4.8665, + "mean_token_accuracy": 0.23227984756231307, + "num_tokens": 13766267.0, + "step": 6130 + }, + { + "entropy": 5.479209947586059, + "epoch": 6.63277447268794, + "grad_norm": 1.078125, + "learning_rate": 0.00019016588396027862, + "loss": 4.785, + "mean_token_accuracy": 0.22960527539253234, + "num_tokens": 13776532.0, + "step": 6135 + }, + { + "entropy": 5.446014642715454, + "epoch": 6.638182801514332, + "grad_norm": 1.0546875, + "learning_rate": 0.00018976877504656438, + "loss": 4.7252, + "mean_token_accuracy": 0.23457733541727066, + "num_tokens": 13787511.0, + "step": 6140 + }, + { + "entropy": 5.418573427200317, + "epoch": 6.643591130340725, + "grad_norm": 1.015625, + "learning_rate": 0.0001893719758633185, + "loss": 4.7603, + "mean_token_accuracy": 0.23951076716184616, + "num_tokens": 13799264.0, + "step": 6145 + }, + { + "entropy": 5.492339086532593, + "epoch": 6.6489994591671175, + "grad_norm": 1.0546875, + "learning_rate": 0.00018897548785251018, + "loss": 4.8451, + "mean_token_accuracy": 0.22612449377775193, + "num_tokens": 13810271.0, + "step": 6150 + }, + { + "entropy": 5.461274480819702, + "epoch": 6.6544077879935095, + "grad_norm": 1.1328125, + "learning_rate": 0.0001885793124549779, + "loss": 4.7764, + "mean_token_accuracy": 0.23858335763216018, + "num_tokens": 13820980.0, + "step": 6155 + }, + { + "entropy": 5.525525903701782, + "epoch": 6.659816116819902, + "grad_norm": 1.0390625, + "learning_rate": 0.00018818345111042383, + "loss": 4.9345, + "mean_token_accuracy": 0.2248729422688484, + "num_tokens": 13832522.0, + "step": 6160 + }, + { + "entropy": 5.425912666320801, + "epoch": 6.665224445646295, + "grad_norm": 1.1328125, + "learning_rate": 0.00018778790525740907, + "loss": 4.7193, + "mean_token_accuracy": 0.2379765972495079, + "num_tokens": 13844453.0, + "step": 6165 + }, + { + "entropy": 5.52116117477417, + "epoch": 6.670632774472688, + "grad_norm": 0.9375, + "learning_rate": 0.00018739267633334806, + "loss": 4.8558, + "mean_token_accuracy": 0.22124128192663192, + "num_tokens": 13856776.0, + "step": 6170 + }, + { + "entropy": 5.443723726272583, + "epoch": 6.676041103299081, + "grad_norm": 0.98828125, + "learning_rate": 0.00018699776577450378, + "loss": 4.7637, + "mean_token_accuracy": 0.2337685525417328, + "num_tokens": 13868050.0, + "step": 6175 + }, + { + "entropy": 5.492089128494262, + "epoch": 6.681449432125473, + "grad_norm": 1.0078125, + "learning_rate": 0.00018660317501598212, + "loss": 4.8518, + "mean_token_accuracy": 0.22990886569023133, + "num_tokens": 13879866.0, + "step": 6180 + }, + { + "entropy": 5.48423171043396, + "epoch": 6.686857760951866, + "grad_norm": 0.91796875, + "learning_rate": 0.0001862089054917266, + "loss": 4.7604, + "mean_token_accuracy": 0.22882692217826844, + "num_tokens": 13891782.0, + "step": 6185 + }, + { + "entropy": 5.454492902755737, + "epoch": 6.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.0001858149586345137, + "loss": 4.8486, + "mean_token_accuracy": 0.2267652705311775, + "num_tokens": 13903587.0, + "step": 6190 + }, + { + "entropy": 5.487734699249268, + "epoch": 6.6976744186046515, + "grad_norm": 1.1171875, + "learning_rate": 0.00018542133587594735, + "loss": 4.7559, + "mean_token_accuracy": 0.23566682040691375, + "num_tokens": 13914921.0, + "step": 6195 + }, + { + "entropy": 5.510404586791992, + "epoch": 6.7030827474310435, + "grad_norm": 1.1171875, + "learning_rate": 0.00018502803864645334, + "loss": 4.7447, + "mean_token_accuracy": 0.23118012845516206, + "num_tokens": 13925412.0, + "step": 6200 + }, + { + "entropy": 5.485953426361084, + "epoch": 6.708491076257436, + "grad_norm": 1.03125, + "learning_rate": 0.00018463506837527484, + "loss": 4.7566, + "mean_token_accuracy": 0.23713926672935487, + "num_tokens": 13935783.0, + "step": 6205 + }, + { + "entropy": 5.3922570705413815, + "epoch": 6.713899405083829, + "grad_norm": 1.2421875, + "learning_rate": 0.00018424242649046663, + "loss": 4.7659, + "mean_token_accuracy": 0.23707763850688934, + "num_tokens": 13945233.0, + "step": 6210 + }, + { + "entropy": 5.48021879196167, + "epoch": 6.719307733910222, + "grad_norm": 1.046875, + "learning_rate": 0.00018385011441889037, + "loss": 4.7698, + "mean_token_accuracy": 0.2360626772046089, + "num_tokens": 13955411.0, + "step": 6215 + }, + { + "entropy": 5.523493337631225, + "epoch": 6.724716062736614, + "grad_norm": 1.0390625, + "learning_rate": 0.00018345813358620894, + "loss": 4.9065, + "mean_token_accuracy": 0.2244351848959923, + "num_tokens": 13966607.0, + "step": 6220 + }, + { + "entropy": 5.546255588531494, + "epoch": 6.730124391563007, + "grad_norm": 0.9921875, + "learning_rate": 0.0001830664854168816, + "loss": 4.8721, + "mean_token_accuracy": 0.2342979833483696, + "num_tokens": 13978122.0, + "step": 6225 + }, + { + "entropy": 5.48574800491333, + "epoch": 6.7355327203894, + "grad_norm": 1.046875, + "learning_rate": 0.00018267517133415862, + "loss": 4.7914, + "mean_token_accuracy": 0.2378652423620224, + "num_tokens": 13989301.0, + "step": 6230 + }, + { + "entropy": 5.593584823608398, + "epoch": 6.740941049215793, + "grad_norm": 1.0625, + "learning_rate": 0.00018228419276007646, + "loss": 4.8879, + "mean_token_accuracy": 0.22455106675624847, + "num_tokens": 14000674.0, + "step": 6235 + }, + { + "entropy": 5.466882848739624, + "epoch": 6.746349378042185, + "grad_norm": 1.171875, + "learning_rate": 0.00018189355111545208, + "loss": 4.7649, + "mean_token_accuracy": 0.22919233441352843, + "num_tokens": 14012884.0, + "step": 6240 + }, + { + "entropy": 5.408292770385742, + "epoch": 6.7517577068685775, + "grad_norm": 1.0546875, + "learning_rate": 0.0001815032478198781, + "loss": 4.7689, + "mean_token_accuracy": 0.22624011039733888, + "num_tokens": 14023624.0, + "step": 6245 + }, + { + "entropy": 5.501367807388306, + "epoch": 6.75716603569497, + "grad_norm": 1.0390625, + "learning_rate": 0.00018111328429171747, + "loss": 4.8435, + "mean_token_accuracy": 0.22636697590351104, + "num_tokens": 14034873.0, + "step": 6250 + }, + { + "entropy": 5.493204069137573, + "epoch": 6.762574364521363, + "grad_norm": 1.0859375, + "learning_rate": 0.00018072366194809886, + "loss": 4.7605, + "mean_token_accuracy": 0.2378583535552025, + "num_tokens": 14045707.0, + "step": 6255 + }, + { + "entropy": 5.450195169448852, + "epoch": 6.767982693347756, + "grad_norm": 1.0546875, + "learning_rate": 0.00018033438220491055, + "loss": 4.8147, + "mean_token_accuracy": 0.24106226861476898, + "num_tokens": 14056774.0, + "step": 6260 + }, + { + "entropy": 5.395016431808472, + "epoch": 6.773391022174148, + "grad_norm": 1.1328125, + "learning_rate": 0.000179945446476796, + "loss": 4.6921, + "mean_token_accuracy": 0.24216643571853638, + "num_tokens": 14067358.0, + "step": 6265 + }, + { + "entropy": 5.455972051620483, + "epoch": 6.778799351000541, + "grad_norm": 1.0625, + "learning_rate": 0.00017955685617714867, + "loss": 4.7687, + "mean_token_accuracy": 0.23320888876914977, + "num_tokens": 14078336.0, + "step": 6270 + }, + { + "entropy": 5.525402450561524, + "epoch": 6.784207679826934, + "grad_norm": 0.98046875, + "learning_rate": 0.0001791686127181066, + "loss": 4.9202, + "mean_token_accuracy": 0.22177284806966782, + "num_tokens": 14091700.0, + "step": 6275 + }, + { + "entropy": 5.496983194351197, + "epoch": 6.789616008653326, + "grad_norm": 0.92578125, + "learning_rate": 0.00017878071751054736, + "loss": 4.837, + "mean_token_accuracy": 0.22447920441627503, + "num_tokens": 14103322.0, + "step": 6280 + }, + { + "entropy": 5.5157805442810055, + "epoch": 6.795024337479719, + "grad_norm": 1.09375, + "learning_rate": 0.00017839317196408305, + "loss": 4.8589, + "mean_token_accuracy": 0.2351175755262375, + "num_tokens": 14114758.0, + "step": 6285 + }, + { + "entropy": 5.3984763622283936, + "epoch": 6.800432666306111, + "grad_norm": 1.0625, + "learning_rate": 0.00017800597748705494, + "loss": 4.6811, + "mean_token_accuracy": 0.2468650996685028, + "num_tokens": 14124935.0, + "step": 6290 + }, + { + "entropy": 5.423747539520264, + "epoch": 6.805840995132504, + "grad_norm": 1.0, + "learning_rate": 0.0001776191354865289, + "loss": 4.7441, + "mean_token_accuracy": 0.24243067800998688, + "num_tokens": 14136102.0, + "step": 6295 + }, + { + "entropy": 5.47675724029541, + "epoch": 6.811249323958897, + "grad_norm": 1.0546875, + "learning_rate": 0.00017723264736828952, + "loss": 4.7482, + "mean_token_accuracy": 0.24305145889520646, + "num_tokens": 14147042.0, + "step": 6300 + }, + { + "entropy": 5.3783485889434814, + "epoch": 6.816657652785289, + "grad_norm": 1.140625, + "learning_rate": 0.00017684651453683554, + "loss": 4.6729, + "mean_token_accuracy": 0.24017125219106675, + "num_tokens": 14158045.0, + "step": 6305 + }, + { + "entropy": 5.419600963592529, + "epoch": 6.822065981611682, + "grad_norm": 1.125, + "learning_rate": 0.00017646073839537458, + "loss": 4.7921, + "mean_token_accuracy": 0.23383526057004927, + "num_tokens": 14169815.0, + "step": 6310 + }, + { + "entropy": 5.400470495223999, + "epoch": 6.827474310438075, + "grad_norm": 1.140625, + "learning_rate": 0.00017607532034581797, + "loss": 4.753, + "mean_token_accuracy": 0.22974225133657455, + "num_tokens": 14179965.0, + "step": 6315 + }, + { + "entropy": 5.536269664764404, + "epoch": 6.832882639264467, + "grad_norm": 1.1015625, + "learning_rate": 0.00017569026178877584, + "loss": 4.8555, + "mean_token_accuracy": 0.23882761746644973, + "num_tokens": 14191142.0, + "step": 6320 + }, + { + "entropy": 5.507011890411377, + "epoch": 6.83829096809086, + "grad_norm": 1.0390625, + "learning_rate": 0.0001753055641235519, + "loss": 4.7463, + "mean_token_accuracy": 0.2407160997390747, + "num_tokens": 14201765.0, + "step": 6325 + }, + { + "entropy": 5.463215494155884, + "epoch": 6.8436992969172525, + "grad_norm": 1.109375, + "learning_rate": 0.00017492122874813824, + "loss": 4.802, + "mean_token_accuracy": 0.23131725937128067, + "num_tokens": 14211995.0, + "step": 6330 + }, + { + "entropy": 5.5310859203338625, + "epoch": 6.849107625743645, + "grad_norm": 1.015625, + "learning_rate": 0.0001745372570592107, + "loss": 4.9147, + "mean_token_accuracy": 0.21638796478509903, + "num_tokens": 14225488.0, + "step": 6335 + }, + { + "entropy": 5.4645874977111815, + "epoch": 6.854515954570038, + "grad_norm": 1.0546875, + "learning_rate": 0.00017415365045212312, + "loss": 4.7541, + "mean_token_accuracy": 0.23150826692581178, + "num_tokens": 14237459.0, + "step": 6340 + }, + { + "entropy": 5.497331428527832, + "epoch": 6.85992428339643, + "grad_norm": 1.0625, + "learning_rate": 0.00017377041032090278, + "loss": 4.8308, + "mean_token_accuracy": 0.22778917849063873, + "num_tokens": 14248136.0, + "step": 6345 + }, + { + "entropy": 5.493479537963867, + "epoch": 6.865332612222823, + "grad_norm": 1.078125, + "learning_rate": 0.00017338753805824536, + "loss": 4.8375, + "mean_token_accuracy": 0.22441824078559874, + "num_tokens": 14260239.0, + "step": 6350 + }, + { + "entropy": 5.397213077545166, + "epoch": 6.870740941049216, + "grad_norm": 0.93359375, + "learning_rate": 0.00017300503505550939, + "loss": 4.7386, + "mean_token_accuracy": 0.23439123779535292, + "num_tokens": 14271825.0, + "step": 6355 + }, + { + "entropy": 5.371894598007202, + "epoch": 6.876149269875609, + "grad_norm": 1.0546875, + "learning_rate": 0.00017262290270271175, + "loss": 4.6615, + "mean_token_accuracy": 0.24698663353919983, + "num_tokens": 14282517.0, + "step": 6360 + }, + { + "entropy": 5.514883232116699, + "epoch": 6.881557598702001, + "grad_norm": 1.09375, + "learning_rate": 0.00017224114238852234, + "loss": 4.8437, + "mean_token_accuracy": 0.23700363636016847, + "num_tokens": 14293548.0, + "step": 6365 + }, + { + "entropy": 5.458508491516113, + "epoch": 6.886965927528394, + "grad_norm": 0.99609375, + "learning_rate": 0.0001718597555002588, + "loss": 4.8109, + "mean_token_accuracy": 0.2287731185555458, + "num_tokens": 14305782.0, + "step": 6370 + }, + { + "entropy": 5.464990663528442, + "epoch": 6.8923742563547865, + "grad_norm": 1.015625, + "learning_rate": 0.00017147874342388227, + "loss": 4.7446, + "mean_token_accuracy": 0.23635595589876174, + "num_tokens": 14315968.0, + "step": 6375 + }, + { + "entropy": 5.484697961807251, + "epoch": 6.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0001710981075439913, + "loss": 4.7885, + "mean_token_accuracy": 0.23122970163822174, + "num_tokens": 14327579.0, + "step": 6380 + }, + { + "entropy": 5.556122732162476, + "epoch": 6.903190914007571, + "grad_norm": 1.0390625, + "learning_rate": 0.00017071784924381766, + "loss": 4.8536, + "mean_token_accuracy": 0.22923520505428313, + "num_tokens": 14338620.0, + "step": 6385 + }, + { + "entropy": 5.435343933105469, + "epoch": 6.908599242833964, + "grad_norm": 1.078125, + "learning_rate": 0.00017033796990522081, + "loss": 4.736, + "mean_token_accuracy": 0.23136261701583863, + "num_tokens": 14348638.0, + "step": 6390 + }, + { + "entropy": 5.469294881820678, + "epoch": 6.914007571660357, + "grad_norm": 1.109375, + "learning_rate": 0.00016995847090868322, + "loss": 4.8066, + "mean_token_accuracy": 0.23570748418569565, + "num_tokens": 14359253.0, + "step": 6395 + }, + { + "entropy": 5.488160896301269, + "epoch": 6.91941590048675, + "grad_norm": 1.0703125, + "learning_rate": 0.00016957935363330506, + "loss": 4.7846, + "mean_token_accuracy": 0.23263452798128129, + "num_tokens": 14370659.0, + "step": 6400 + }, + { + "entropy": 5.467180585861206, + "epoch": 6.924824229313142, + "grad_norm": 1.125, + "learning_rate": 0.00016920061945679951, + "loss": 4.8172, + "mean_token_accuracy": 0.22805383503437043, + "num_tokens": 14381136.0, + "step": 6405 + }, + { + "entropy": 5.463050317764282, + "epoch": 6.930232558139535, + "grad_norm": 0.99609375, + "learning_rate": 0.0001688222697554872, + "loss": 4.8262, + "mean_token_accuracy": 0.22429136484861373, + "num_tokens": 14392789.0, + "step": 6410 + }, + { + "entropy": 5.463587474822998, + "epoch": 6.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.000168444305904292, + "loss": 4.7404, + "mean_token_accuracy": 0.23504639863967897, + "num_tokens": 14402808.0, + "step": 6415 + }, + { + "entropy": 5.518123960494995, + "epoch": 6.9410492157923205, + "grad_norm": 1.046875, + "learning_rate": 0.00016806672927673552, + "loss": 4.8328, + "mean_token_accuracy": 0.22986545860767366, + "num_tokens": 14413961.0, + "step": 6420 + }, + { + "entropy": 5.479937028884888, + "epoch": 6.9464575446187125, + "grad_norm": 1.15625, + "learning_rate": 0.00016768954124493188, + "loss": 4.7478, + "mean_token_accuracy": 0.2352260708808899, + "num_tokens": 14424416.0, + "step": 6425 + }, + { + "entropy": 5.5164111137390135, + "epoch": 6.951865873445105, + "grad_norm": 1.125, + "learning_rate": 0.00016731274317958333, + "loss": 4.8971, + "mean_token_accuracy": 0.22941209524869918, + "num_tokens": 14435771.0, + "step": 6430 + }, + { + "entropy": 5.4186872959136965, + "epoch": 6.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.0001669363364499749, + "loss": 4.73, + "mean_token_accuracy": 0.23911819905042647, + "num_tokens": 14447106.0, + "step": 6435 + }, + { + "entropy": 5.442362308502197, + "epoch": 6.962682531097891, + "grad_norm": 1.03125, + "learning_rate": 0.00016656032242396958, + "loss": 4.8122, + "mean_token_accuracy": 0.2302314579486847, + "num_tokens": 14458698.0, + "step": 6440 + }, + { + "entropy": 5.453445291519165, + "epoch": 6.968090859924283, + "grad_norm": 1.078125, + "learning_rate": 0.00016618470246800322, + "loss": 4.7455, + "mean_token_accuracy": 0.23800296932458878, + "num_tokens": 14469440.0, + "step": 6445 + }, + { + "entropy": 5.490810489654541, + "epoch": 6.973499188750676, + "grad_norm": 1.1015625, + "learning_rate": 0.00016580947794707937, + "loss": 4.8024, + "mean_token_accuracy": 0.24103218615055083, + "num_tokens": 14480256.0, + "step": 6450 + }, + { + "entropy": 5.470514965057373, + "epoch": 6.978907517577069, + "grad_norm": 1.046875, + "learning_rate": 0.00016543465022476512, + "loss": 4.8481, + "mean_token_accuracy": 0.23317314237356185, + "num_tokens": 14492347.0, + "step": 6455 + }, + { + "entropy": 5.454502725601197, + "epoch": 6.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0001650602206631852, + "loss": 4.7853, + "mean_token_accuracy": 0.22942974418401718, + "num_tokens": 14503492.0, + "step": 6460 + }, + { + "entropy": 5.506963491439819, + "epoch": 6.9897241752298545, + "grad_norm": 1.09375, + "learning_rate": 0.00016468619062301739, + "loss": 4.9144, + "mean_token_accuracy": 0.2240392178297043, + "num_tokens": 14515843.0, + "step": 6465 + }, + { + "entropy": 5.422661304473877, + "epoch": 6.995132504056246, + "grad_norm": 1.1171875, + "learning_rate": 0.0001643125614634877, + "loss": 4.7668, + "mean_token_accuracy": 0.22867323458194733, + "num_tokens": 14526733.0, + "step": 6470 + }, + { + "entropy": 5.484320746527778, + "epoch": 7.0, + "grad_norm": 2.09375, + "learning_rate": 0.0001639393345423656, + "loss": 4.9156, + "mean_token_accuracy": 0.22375796569718254, + "num_tokens": 14538223.0, + "step": 6475 + }, + { + "entropy": 5.473077964782715, + "epoch": 7.005408328826393, + "grad_norm": 0.9921875, + "learning_rate": 0.00016356651121595832, + "loss": 4.6896, + "mean_token_accuracy": 0.23437674343585968, + "num_tokens": 14549388.0, + "step": 6480 + }, + { + "entropy": 5.507199287414551, + "epoch": 7.010816657652786, + "grad_norm": 1.078125, + "learning_rate": 0.0001631940928391068, + "loss": 4.7129, + "mean_token_accuracy": 0.23249671310186387, + "num_tokens": 14561300.0, + "step": 6485 + }, + { + "entropy": 5.418299865722656, + "epoch": 7.016224986479178, + "grad_norm": 1.1328125, + "learning_rate": 0.00016282208076518032, + "loss": 4.6235, + "mean_token_accuracy": 0.24409482777118682, + "num_tokens": 14573169.0, + "step": 6490 + }, + { + "entropy": 5.460235691070556, + "epoch": 7.0216333153055706, + "grad_norm": 1.09375, + "learning_rate": 0.00016245047634607155, + "loss": 4.7435, + "mean_token_accuracy": 0.23163942545652388, + "num_tokens": 14585035.0, + "step": 6495 + }, + { + "entropy": 5.408029985427857, + "epoch": 7.027041644131963, + "grad_norm": 1.15625, + "learning_rate": 0.0001620792809321919, + "loss": 4.6479, + "mean_token_accuracy": 0.25236437320709226, + "num_tokens": 14596184.0, + "step": 6500 + }, + { + "epoch": 7.027041644131963, + "eval_entropy": 5.3447701345790515, + "eval_loss": 5.831712245941162, + "eval_mean_token_accuracy": 0.18428871013562786, + "eval_num_tokens": 14596184.0, + "eval_runtime": 3.5434, + "eval_samples_per_second": 991.978, + "eval_steps_per_second": 124.174, + "step": 6500 + }, + { + "entropy": 5.464370441436768, + "epoch": 7.032449972958356, + "grad_norm": 1.0625, + "learning_rate": 0.00016170849587246623, + "loss": 4.6636, + "mean_token_accuracy": 0.24691879898309707, + "num_tokens": 14606987.0, + "step": 6505 + }, + { + "entropy": 5.382754278182984, + "epoch": 7.037858301784748, + "grad_norm": 1.0859375, + "learning_rate": 0.00016133812251432826, + "loss": 4.6446, + "mean_token_accuracy": 0.24152851849794388, + "num_tokens": 14617600.0, + "step": 6510 + }, + { + "entropy": 5.545627021789551, + "epoch": 7.043266630611141, + "grad_norm": 1.140625, + "learning_rate": 0.0001609681622037159, + "loss": 4.8768, + "mean_token_accuracy": 0.23409285694360732, + "num_tokens": 14629551.0, + "step": 6515 + }, + { + "entropy": 5.513275575637818, + "epoch": 7.048674959437534, + "grad_norm": 0.9609375, + "learning_rate": 0.00016059861628506557, + "loss": 4.7503, + "mean_token_accuracy": 0.23408671617507934, + "num_tokens": 14641322.0, + "step": 6520 + }, + { + "entropy": 5.477088546752929, + "epoch": 7.054083288263927, + "grad_norm": 1.0078125, + "learning_rate": 0.00016022948610130804, + "loss": 4.6729, + "mean_token_accuracy": 0.24914150536060334, + "num_tokens": 14653380.0, + "step": 6525 + }, + { + "entropy": 5.466812229156494, + "epoch": 7.059491617090319, + "grad_norm": 1.140625, + "learning_rate": 0.0001598607729938632, + "loss": 4.6486, + "mean_token_accuracy": 0.24966771751642228, + "num_tokens": 14664043.0, + "step": 6530 + }, + { + "entropy": 5.344011831283569, + "epoch": 7.064899945916712, + "grad_norm": 1.078125, + "learning_rate": 0.00015949247830263538, + "loss": 4.5761, + "mean_token_accuracy": 0.2504953399300575, + "num_tokens": 14675117.0, + "step": 6535 + }, + { + "entropy": 5.410769510269165, + "epoch": 7.0703082747431045, + "grad_norm": 0.98828125, + "learning_rate": 0.00015912460336600838, + "loss": 4.6592, + "mean_token_accuracy": 0.24368593096733093, + "num_tokens": 14686908.0, + "step": 6540 + }, + { + "entropy": 5.454552125930786, + "epoch": 7.075716603569497, + "grad_norm": 1.1171875, + "learning_rate": 0.00015875714952084054, + "loss": 4.651, + "mean_token_accuracy": 0.23747905492782592, + "num_tokens": 14698997.0, + "step": 6545 + }, + { + "entropy": 5.482502889633179, + "epoch": 7.081124932395889, + "grad_norm": 1.125, + "learning_rate": 0.00015839011810245984, + "loss": 4.7622, + "mean_token_accuracy": 0.2314816802740097, + "num_tokens": 14709586.0, + "step": 6550 + }, + { + "entropy": 5.58815712928772, + "epoch": 7.086533261222282, + "grad_norm": 1.015625, + "learning_rate": 0.0001580235104446596, + "loss": 4.8083, + "mean_token_accuracy": 0.23637845516204833, + "num_tokens": 14720821.0, + "step": 6555 + }, + { + "entropy": 5.534481573104858, + "epoch": 7.091941590048675, + "grad_norm": 1.125, + "learning_rate": 0.00015765732787969267, + "loss": 4.7914, + "mean_token_accuracy": 0.2330068051815033, + "num_tokens": 14732218.0, + "step": 6560 + }, + { + "entropy": 5.500377082824707, + "epoch": 7.097349918875068, + "grad_norm": 1.125, + "learning_rate": 0.00015729157173826724, + "loss": 4.7649, + "mean_token_accuracy": 0.23969083726406099, + "num_tokens": 14742306.0, + "step": 6565 + }, + { + "entropy": 5.4900023460388185, + "epoch": 7.10275824770146, + "grad_norm": 1.1171875, + "learning_rate": 0.00015692624334954236, + "loss": 4.6786, + "mean_token_accuracy": 0.24366039633750916, + "num_tokens": 14752924.0, + "step": 6570 + }, + { + "entropy": 5.496832656860351, + "epoch": 7.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0001565613440411219, + "loss": 4.7231, + "mean_token_accuracy": 0.24004672914743425, + "num_tokens": 14764161.0, + "step": 6575 + }, + { + "entropy": 5.440928888320923, + "epoch": 7.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.0001561968751390509, + "loss": 4.6765, + "mean_token_accuracy": 0.24878692924976348, + "num_tokens": 14774520.0, + "step": 6580 + }, + { + "entropy": 5.453061580657959, + "epoch": 7.1189832341806385, + "grad_norm": 1.15625, + "learning_rate": 0.00015583283796781022, + "loss": 4.6932, + "mean_token_accuracy": 0.24243371188640594, + "num_tokens": 14785243.0, + "step": 6585 + }, + { + "entropy": 5.52647213935852, + "epoch": 7.1243915630070305, + "grad_norm": 1.171875, + "learning_rate": 0.00015546923385031169, + "loss": 4.7412, + "mean_token_accuracy": 0.23893113285303116, + "num_tokens": 14796152.0, + "step": 6590 + }, + { + "entropy": 5.4624011516571045, + "epoch": 7.129799891833423, + "grad_norm": 0.9296875, + "learning_rate": 0.00015510606410789368, + "loss": 4.6761, + "mean_token_accuracy": 0.24187866747379302, + "num_tokens": 14807849.0, + "step": 6595 + }, + { + "entropy": 5.4489339828491214, + "epoch": 7.135208220659816, + "grad_norm": 1.0234375, + "learning_rate": 0.0001547433300603157, + "loss": 4.7278, + "mean_token_accuracy": 0.23658954948186875, + "num_tokens": 14819402.0, + "step": 6600 + }, + { + "entropy": 5.519697618484497, + "epoch": 7.140616549486209, + "grad_norm": 0.97265625, + "learning_rate": 0.00015438103302575413, + "loss": 4.7809, + "mean_token_accuracy": 0.22943075448274614, + "num_tokens": 14831801.0, + "step": 6605 + }, + { + "entropy": 5.458428382873535, + "epoch": 7.146024878312601, + "grad_norm": 1.046875, + "learning_rate": 0.0001540191743207974, + "loss": 4.6665, + "mean_token_accuracy": 0.24807371944189072, + "num_tokens": 14842758.0, + "step": 6610 + }, + { + "entropy": 5.438600254058838, + "epoch": 7.151433207138994, + "grad_norm": 1.1484375, + "learning_rate": 0.0001536577552604407, + "loss": 4.6907, + "mean_token_accuracy": 0.24510224908590317, + "num_tokens": 14853493.0, + "step": 6615 + }, + { + "entropy": 5.459250783920288, + "epoch": 7.156841535965387, + "grad_norm": 1.0546875, + "learning_rate": 0.00015329677715808176, + "loss": 4.6939, + "mean_token_accuracy": 0.23562195599079133, + "num_tokens": 14863561.0, + "step": 6620 + }, + { + "entropy": 5.4494476318359375, + "epoch": 7.16224986479178, + "grad_norm": 1.0390625, + "learning_rate": 0.00015293624132551591, + "loss": 4.7133, + "mean_token_accuracy": 0.237583789229393, + "num_tokens": 14874501.0, + "step": 6625 + }, + { + "entropy": 5.418937349319458, + "epoch": 7.167658193618172, + "grad_norm": 1.1484375, + "learning_rate": 0.0001525761490729312, + "loss": 4.6094, + "mean_token_accuracy": 0.24090600162744522, + "num_tokens": 14885457.0, + "step": 6630 + }, + { + "entropy": 5.386363983154297, + "epoch": 7.173066522444564, + "grad_norm": 1.140625, + "learning_rate": 0.0001522165017089036, + "loss": 4.6538, + "mean_token_accuracy": 0.24340963810682298, + "num_tokens": 14895812.0, + "step": 6635 + }, + { + "entropy": 5.456580400466919, + "epoch": 7.178474851270957, + "grad_norm": 1.1484375, + "learning_rate": 0.00015185730054039266, + "loss": 4.6593, + "mean_token_accuracy": 0.2551399230957031, + "num_tokens": 14907367.0, + "step": 6640 + }, + { + "entropy": 5.359630060195923, + "epoch": 7.18388318009735, + "grad_norm": 1.0859375, + "learning_rate": 0.00015149854687273594, + "loss": 4.6462, + "mean_token_accuracy": 0.24483772069215776, + "num_tokens": 14918931.0, + "step": 6645 + }, + { + "entropy": 5.4493739128112795, + "epoch": 7.189291508923742, + "grad_norm": 1.203125, + "learning_rate": 0.0001511402420096455, + "loss": 4.6726, + "mean_token_accuracy": 0.24823494553565978, + "num_tokens": 14929518.0, + "step": 6650 + }, + { + "entropy": 5.420223188400269, + "epoch": 7.194699837750135, + "grad_norm": 1.0703125, + "learning_rate": 0.0001507823872532017, + "loss": 4.6215, + "mean_token_accuracy": 0.25121530294418337, + "num_tokens": 14940249.0, + "step": 6655 + }, + { + "entropy": 5.487333488464356, + "epoch": 7.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00015042498390384966, + "loss": 4.651, + "mean_token_accuracy": 0.2495026633143425, + "num_tokens": 14950645.0, + "step": 6660 + }, + { + "entropy": 5.48924765586853, + "epoch": 7.205516495402921, + "grad_norm": 1.1484375, + "learning_rate": 0.00015006803326039403, + "loss": 4.6803, + "mean_token_accuracy": 0.24450889825820923, + "num_tokens": 14961687.0, + "step": 6665 + }, + { + "entropy": 5.495927572250366, + "epoch": 7.210924824229313, + "grad_norm": 1.1328125, + "learning_rate": 0.00014971153661999425, + "loss": 4.7147, + "mean_token_accuracy": 0.23855119198560715, + "num_tokens": 14973119.0, + "step": 6670 + }, + { + "entropy": 5.49677472114563, + "epoch": 7.2163331530557056, + "grad_norm": 1.1015625, + "learning_rate": 0.0001493554952781599, + "loss": 4.7157, + "mean_token_accuracy": 0.2383064314723015, + "num_tokens": 14984826.0, + "step": 6675 + }, + { + "entropy": 5.433115148544312, + "epoch": 7.221741481882098, + "grad_norm": 1.1484375, + "learning_rate": 0.00014899991052874618, + "loss": 4.6384, + "mean_token_accuracy": 0.24932982623577118, + "num_tokens": 14996853.0, + "step": 6680 + }, + { + "entropy": 5.490801095962524, + "epoch": 7.227149810708491, + "grad_norm": 1.1171875, + "learning_rate": 0.00014864478366394853, + "loss": 4.723, + "mean_token_accuracy": 0.2382085368037224, + "num_tokens": 15006941.0, + "step": 6685 + }, + { + "entropy": 5.507191753387451, + "epoch": 7.232558139534884, + "grad_norm": 1.0234375, + "learning_rate": 0.0001482901159742992, + "loss": 4.7574, + "mean_token_accuracy": 0.23971456587314605, + "num_tokens": 15018477.0, + "step": 6690 + }, + { + "entropy": 5.495437908172607, + "epoch": 7.237966468361276, + "grad_norm": 1.078125, + "learning_rate": 0.0001479359087486613, + "loss": 4.7285, + "mean_token_accuracy": 0.24551907330751419, + "num_tokens": 15030454.0, + "step": 6695 + }, + { + "entropy": 5.439489364624023, + "epoch": 7.243374797187669, + "grad_norm": 1.1171875, + "learning_rate": 0.00014758216327422457, + "loss": 4.6662, + "mean_token_accuracy": 0.245236536860466, + "num_tokens": 15040662.0, + "step": 6700 + }, + { + "entropy": 5.4497535705566404, + "epoch": 7.248783126014062, + "grad_norm": 1.0859375, + "learning_rate": 0.00014722888083650094, + "loss": 4.7445, + "mean_token_accuracy": 0.23666218519210816, + "num_tokens": 15051414.0, + "step": 6705 + }, + { + "entropy": 5.429581880569458, + "epoch": 7.254191454840455, + "grad_norm": 1.09375, + "learning_rate": 0.00014687606271931961, + "loss": 4.6776, + "mean_token_accuracy": 0.24278885275125503, + "num_tokens": 15062563.0, + "step": 6710 + }, + { + "entropy": 5.483661127090454, + "epoch": 7.259599783666847, + "grad_norm": 1.1484375, + "learning_rate": 0.00014652371020482246, + "loss": 4.78, + "mean_token_accuracy": 0.2354867562651634, + "num_tokens": 15074443.0, + "step": 6715 + }, + { + "entropy": 5.4655379295349125, + "epoch": 7.2650081124932395, + "grad_norm": 1.09375, + "learning_rate": 0.0001461718245734594, + "loss": 4.6926, + "mean_token_accuracy": 0.2432758167386055, + "num_tokens": 15085920.0, + "step": 6720 + }, + { + "entropy": 5.451245069503784, + "epoch": 7.270416441319632, + "grad_norm": 1.1171875, + "learning_rate": 0.0001458204071039834, + "loss": 4.6462, + "mean_token_accuracy": 0.2515479028224945, + "num_tokens": 15096851.0, + "step": 6725 + }, + { + "entropy": 5.4489991664886475, + "epoch": 7.275824770146025, + "grad_norm": 0.99609375, + "learning_rate": 0.0001454694590734466, + "loss": 4.5771, + "mean_token_accuracy": 0.25787000358104706, + "num_tokens": 15107217.0, + "step": 6730 + }, + { + "entropy": 5.458311605453491, + "epoch": 7.281233098972417, + "grad_norm": 1.171875, + "learning_rate": 0.0001451189817571949, + "loss": 4.6624, + "mean_token_accuracy": 0.24796743094921112, + "num_tokens": 15117464.0, + "step": 6735 + }, + { + "entropy": 5.426720666885376, + "epoch": 7.28664142779881, + "grad_norm": 1.1015625, + "learning_rate": 0.00014476897642886355, + "loss": 4.6601, + "mean_token_accuracy": 0.2457870662212372, + "num_tokens": 15127801.0, + "step": 6740 + }, + { + "entropy": 5.524455165863037, + "epoch": 7.292049756625203, + "grad_norm": 1.1171875, + "learning_rate": 0.00014441944436037287, + "loss": 4.8401, + "mean_token_accuracy": 0.2326320692896843, + "num_tokens": 15139117.0, + "step": 6745 + }, + { + "entropy": 5.410741662979126, + "epoch": 7.297458085451596, + "grad_norm": 1.1640625, + "learning_rate": 0.00014407038682192312, + "loss": 4.7018, + "mean_token_accuracy": 0.23679485470056533, + "num_tokens": 15150205.0, + "step": 6750 + }, + { + "entropy": 5.4943968772888185, + "epoch": 7.302866414277988, + "grad_norm": 1.1640625, + "learning_rate": 0.0001437218050819902, + "loss": 4.7458, + "mean_token_accuracy": 0.23985870331525802, + "num_tokens": 15160813.0, + "step": 6755 + }, + { + "entropy": 5.4374031066894535, + "epoch": 7.308274743104381, + "grad_norm": 1.15625, + "learning_rate": 0.000143373700407321, + "loss": 4.6973, + "mean_token_accuracy": 0.23702437579631805, + "num_tokens": 15171609.0, + "step": 6760 + }, + { + "entropy": 5.454741048812866, + "epoch": 7.3136830719307735, + "grad_norm": 1.0859375, + "learning_rate": 0.00014302607406292873, + "loss": 4.6596, + "mean_token_accuracy": 0.2430892437696457, + "num_tokens": 15183030.0, + "step": 6765 + }, + { + "entropy": 5.472054719924927, + "epoch": 7.319091400757166, + "grad_norm": 1.234375, + "learning_rate": 0.00014267892731208826, + "loss": 4.7313, + "mean_token_accuracy": 0.2432381123304367, + "num_tokens": 15193365.0, + "step": 6770 + }, + { + "entropy": 5.426125717163086, + "epoch": 7.324499729583558, + "grad_norm": 1.0703125, + "learning_rate": 0.0001423322614163318, + "loss": 4.6888, + "mean_token_accuracy": 0.2341487318277359, + "num_tokens": 15205075.0, + "step": 6775 + }, + { + "entropy": 5.46237211227417, + "epoch": 7.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.00014198607763544392, + "loss": 4.7177, + "mean_token_accuracy": 0.2393790975213051, + "num_tokens": 15216655.0, + "step": 6780 + }, + { + "entropy": 5.436810684204102, + "epoch": 7.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.00014164037722745715, + "loss": 4.6884, + "mean_token_accuracy": 0.24960858076810838, + "num_tokens": 15228130.0, + "step": 6785 + }, + { + "entropy": 5.390351629257202, + "epoch": 7.340724716062737, + "grad_norm": 0.9609375, + "learning_rate": 0.0001412951614486479, + "loss": 4.6332, + "mean_token_accuracy": 0.24285543262958526, + "num_tokens": 15239019.0, + "step": 6790 + }, + { + "entropy": 5.483645868301392, + "epoch": 7.346133044889129, + "grad_norm": 1.0625, + "learning_rate": 0.00014095043155353085, + "loss": 4.7357, + "mean_token_accuracy": 0.23854799568653107, + "num_tokens": 15250325.0, + "step": 6795 + }, + { + "entropy": 5.4402210235595705, + "epoch": 7.351541373715522, + "grad_norm": 1.234375, + "learning_rate": 0.0001406061887948553, + "loss": 4.7688, + "mean_token_accuracy": 0.22925260066986083, + "num_tokens": 15261670.0, + "step": 6800 + }, + { + "entropy": 5.5303246021270756, + "epoch": 7.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.00014026243442360025, + "loss": 4.742, + "mean_token_accuracy": 0.2413437023758888, + "num_tokens": 15273660.0, + "step": 6805 + }, + { + "entropy": 5.464653587341308, + "epoch": 7.3623580313683075, + "grad_norm": 0.98046875, + "learning_rate": 0.0001399191696889699, + "loss": 4.6256, + "mean_token_accuracy": 0.2464908093214035, + "num_tokens": 15284593.0, + "step": 6810 + }, + { + "entropy": 5.448968410491943, + "epoch": 7.367766360194699, + "grad_norm": 1.0390625, + "learning_rate": 0.0001395763958383891, + "loss": 4.732, + "mean_token_accuracy": 0.23267947733402253, + "num_tokens": 15295860.0, + "step": 6815 + }, + { + "entropy": 5.386800622940063, + "epoch": 7.373174689021092, + "grad_norm": 1.140625, + "learning_rate": 0.0001392341141174987, + "loss": 4.6744, + "mean_token_accuracy": 0.2403596669435501, + "num_tokens": 15306718.0, + "step": 6820 + }, + { + "entropy": 5.456715679168701, + "epoch": 7.378583017847485, + "grad_norm": 0.984375, + "learning_rate": 0.00013889232577015125, + "loss": 4.6425, + "mean_token_accuracy": 0.24926920384168624, + "num_tokens": 15318213.0, + "step": 6825 + }, + { + "entropy": 5.4435365200042725, + "epoch": 7.383991346673878, + "grad_norm": 1.203125, + "learning_rate": 0.00013855103203840673, + "loss": 4.7027, + "mean_token_accuracy": 0.24004194885492325, + "num_tokens": 15328932.0, + "step": 6830 + }, + { + "entropy": 5.453626346588135, + "epoch": 7.38939967550027, + "grad_norm": 1.078125, + "learning_rate": 0.00013821023416252693, + "loss": 4.7246, + "mean_token_accuracy": 0.23861720710992812, + "num_tokens": 15340370.0, + "step": 6835 + }, + { + "entropy": 5.450275945663452, + "epoch": 7.394808004326663, + "grad_norm": 1.078125, + "learning_rate": 0.00013786993338097236, + "loss": 4.7441, + "mean_token_accuracy": 0.23446590304374695, + "num_tokens": 15351567.0, + "step": 6840 + }, + { + "entropy": 5.482220315933228, + "epoch": 7.400216333153056, + "grad_norm": 1.2265625, + "learning_rate": 0.00013753013093039673, + "loss": 4.6906, + "mean_token_accuracy": 0.24328313022851944, + "num_tokens": 15361945.0, + "step": 6845 + }, + { + "entropy": 5.375622081756592, + "epoch": 7.405624661979449, + "grad_norm": 0.9453125, + "learning_rate": 0.000137190828045643, + "loss": 4.6098, + "mean_token_accuracy": 0.24908155649900438, + "num_tokens": 15374267.0, + "step": 6850 + }, + { + "entropy": 5.38783860206604, + "epoch": 7.411032990805841, + "grad_norm": 1.1875, + "learning_rate": 0.00013685202595973861, + "loss": 4.6344, + "mean_token_accuracy": 0.2504056841135025, + "num_tokens": 15384323.0, + "step": 6855 + }, + { + "entropy": 5.458398628234863, + "epoch": 7.416441319632233, + "grad_norm": 1.03125, + "learning_rate": 0.00013651372590389122, + "loss": 4.6744, + "mean_token_accuracy": 0.23910631090402604, + "num_tokens": 15395034.0, + "step": 6860 + }, + { + "entropy": 5.509616470336914, + "epoch": 7.421849648458626, + "grad_norm": 1.1015625, + "learning_rate": 0.00013617592910748378, + "loss": 4.7472, + "mean_token_accuracy": 0.2403371140360832, + "num_tokens": 15405948.0, + "step": 6865 + }, + { + "entropy": 5.450651597976685, + "epoch": 7.427257977285019, + "grad_norm": 1.078125, + "learning_rate": 0.00013583863679807092, + "loss": 4.7383, + "mean_token_accuracy": 0.24283735305070878, + "num_tokens": 15417200.0, + "step": 6870 + }, + { + "entropy": 5.399878263473511, + "epoch": 7.432666306111411, + "grad_norm": 1.140625, + "learning_rate": 0.00013550185020137344, + "loss": 4.6714, + "mean_token_accuracy": 0.23909084647893905, + "num_tokens": 15428525.0, + "step": 6875 + }, + { + "entropy": 5.433660840988159, + "epoch": 7.438074634937804, + "grad_norm": 1.171875, + "learning_rate": 0.0001351655705412747, + "loss": 4.7263, + "mean_token_accuracy": 0.24089816063642502, + "num_tokens": 15440464.0, + "step": 6880 + }, + { + "entropy": 5.434780931472778, + "epoch": 7.443482963764197, + "grad_norm": 0.890625, + "learning_rate": 0.0001348297990398158, + "loss": 4.6652, + "mean_token_accuracy": 0.24440051168203353, + "num_tokens": 15452141.0, + "step": 6885 + }, + { + "entropy": 5.389398670196533, + "epoch": 7.44889129259059, + "grad_norm": 1.28125, + "learning_rate": 0.00013449453691719108, + "loss": 4.6366, + "mean_token_accuracy": 0.2456216871738434, + "num_tokens": 15463550.0, + "step": 6890 + }, + { + "entropy": 5.477556848526001, + "epoch": 7.4542996214169825, + "grad_norm": 1.1484375, + "learning_rate": 0.0001341597853917439, + "loss": 4.7464, + "mean_token_accuracy": 0.23704748153686522, + "num_tokens": 15475021.0, + "step": 6895 + }, + { + "entropy": 5.442272329330445, + "epoch": 7.4597079502433745, + "grad_norm": 1.1015625, + "learning_rate": 0.00013382554567996214, + "loss": 4.6938, + "mean_token_accuracy": 0.24450730830430983, + "num_tokens": 15486567.0, + "step": 6900 + }, + { + "entropy": 5.471250104904175, + "epoch": 7.465116279069767, + "grad_norm": 1.0703125, + "learning_rate": 0.00013349181899647346, + "loss": 4.7249, + "mean_token_accuracy": 0.23975735455751418, + "num_tokens": 15498133.0, + "step": 6905 + }, + { + "entropy": 5.447659826278686, + "epoch": 7.47052460789616, + "grad_norm": 1.046875, + "learning_rate": 0.00013315860655404167, + "loss": 4.7895, + "mean_token_accuracy": 0.23136132061481476, + "num_tokens": 15509723.0, + "step": 6910 + }, + { + "entropy": 5.456309413909912, + "epoch": 7.475932936722553, + "grad_norm": 1.078125, + "learning_rate": 0.0001328259095635615, + "loss": 4.7115, + "mean_token_accuracy": 0.23292717039585115, + "num_tokens": 15519590.0, + "step": 6915 + }, + { + "entropy": 5.4850624084472654, + "epoch": 7.481341265548945, + "grad_norm": 1.0703125, + "learning_rate": 0.0001324937292340545, + "loss": 4.7387, + "mean_token_accuracy": 0.23711150139570236, + "num_tokens": 15531112.0, + "step": 6920 + }, + { + "entropy": 5.4384623050689695, + "epoch": 7.486749594375338, + "grad_norm": 1.15625, + "learning_rate": 0.00013216206677266475, + "loss": 4.6405, + "mean_token_accuracy": 0.24470630288124084, + "num_tokens": 15541341.0, + "step": 6925 + }, + { + "entropy": 5.4840343475341795, + "epoch": 7.492157923201731, + "grad_norm": 1.1171875, + "learning_rate": 0.0001318309233846544, + "loss": 4.7422, + "mean_token_accuracy": 0.236113977432251, + "num_tokens": 15553025.0, + "step": 6930 + }, + { + "entropy": 5.563514947891235, + "epoch": 7.497566252028124, + "grad_norm": 1.1328125, + "learning_rate": 0.00013150030027339935, + "loss": 4.7686, + "mean_token_accuracy": 0.23476097285747527, + "num_tokens": 15563824.0, + "step": 6935 + }, + { + "entropy": 5.46577525138855, + "epoch": 7.502974580854516, + "grad_norm": 1.1796875, + "learning_rate": 0.00013117019864038483, + "loss": 4.7118, + "mean_token_accuracy": 0.24245630502700805, + "num_tokens": 15575129.0, + "step": 6940 + }, + { + "entropy": 5.415052223205566, + "epoch": 7.5083829096809085, + "grad_norm": 0.9453125, + "learning_rate": 0.00013084061968520063, + "loss": 4.675, + "mean_token_accuracy": 0.2389229193329811, + "num_tokens": 15586018.0, + "step": 6945 + }, + { + "entropy": 5.501877355575561, + "epoch": 7.513791238507301, + "grad_norm": 1.0546875, + "learning_rate": 0.00013051156460553776, + "loss": 4.8056, + "mean_token_accuracy": 0.2328426405787468, + "num_tokens": 15597062.0, + "step": 6950 + }, + { + "entropy": 5.530647611618042, + "epoch": 7.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.00013018303459718305, + "loss": 4.8664, + "mean_token_accuracy": 0.2271554872393608, + "num_tokens": 15608666.0, + "step": 6955 + }, + { + "entropy": 5.479798126220703, + "epoch": 7.524607896160086, + "grad_norm": 1.046875, + "learning_rate": 0.00012985503085401523, + "loss": 4.7171, + "mean_token_accuracy": 0.241233229637146, + "num_tokens": 15619764.0, + "step": 6960 + }, + { + "entropy": 5.508718585968017, + "epoch": 7.530016224986479, + "grad_norm": 1.0546875, + "learning_rate": 0.00012952755456800067, + "loss": 4.7602, + "mean_token_accuracy": 0.23189041912555694, + "num_tokens": 15631611.0, + "step": 6965 + }, + { + "entropy": 5.498543310165405, + "epoch": 7.535424553812872, + "grad_norm": 1.109375, + "learning_rate": 0.000129200606929189, + "loss": 4.7292, + "mean_token_accuracy": 0.24636310935020447, + "num_tokens": 15642392.0, + "step": 6970 + }, + { + "entropy": 5.480962038040161, + "epoch": 7.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.0001288741891257087, + "loss": 4.725, + "mean_token_accuracy": 0.2412426218390465, + "num_tokens": 15655304.0, + "step": 6975 + }, + { + "entropy": 5.409903812408447, + "epoch": 7.546241211465657, + "grad_norm": 1.0546875, + "learning_rate": 0.00012854830234376277, + "loss": 4.6985, + "mean_token_accuracy": 0.23944918811321259, + "num_tokens": 15666055.0, + "step": 6980 + }, + { + "entropy": 5.448230409622193, + "epoch": 7.55164954029205, + "grad_norm": 1.1171875, + "learning_rate": 0.0001282229477676246, + "loss": 4.7246, + "mean_token_accuracy": 0.2372318223118782, + "num_tokens": 15676287.0, + "step": 6985 + }, + { + "entropy": 5.526154470443726, + "epoch": 7.5570578691184425, + "grad_norm": 1.171875, + "learning_rate": 0.0001278981265796334, + "loss": 4.7988, + "mean_token_accuracy": 0.23436320722103118, + "num_tokens": 15687448.0, + "step": 6990 + }, + { + "entropy": 5.418953084945679, + "epoch": 7.562466197944835, + "grad_norm": 1.09375, + "learning_rate": 0.00012757383996019024, + "loss": 4.6595, + "mean_token_accuracy": 0.23905721604824065, + "num_tokens": 15698303.0, + "step": 6995 + }, + { + "entropy": 5.4294517993927, + "epoch": 7.567874526771227, + "grad_norm": 1.140625, + "learning_rate": 0.0001272500890877533, + "loss": 4.5963, + "mean_token_accuracy": 0.2506329596042633, + "num_tokens": 15708905.0, + "step": 7000 + }, + { + "epoch": 7.567874526771227, + "eval_entropy": 5.361298730156639, + "eval_loss": 5.836106300354004, + "eval_mean_token_accuracy": 0.18401451317424125, + "eval_num_tokens": 15708905.0, + "eval_runtime": 3.5384, + "eval_samples_per_second": 993.377, + "eval_steps_per_second": 124.349, + "step": 7000 + }, + { + "entropy": 5.410555648803711, + "epoch": 7.57328285559762, + "grad_norm": 1.1171875, + "learning_rate": 0.00012692687513883393, + "loss": 4.6628, + "mean_token_accuracy": 0.247932131588459, + "num_tokens": 15719394.0, + "step": 7005 + }, + { + "entropy": 5.488701438903808, + "epoch": 7.578691184424013, + "grad_norm": 1.1171875, + "learning_rate": 0.00012660419928799265, + "loss": 4.7425, + "mean_token_accuracy": 0.24454527497291564, + "num_tokens": 15729754.0, + "step": 7010 + }, + { + "entropy": 5.45831265449524, + "epoch": 7.584099513250406, + "grad_norm": 1.1015625, + "learning_rate": 0.00012628206270783404, + "loss": 4.7098, + "mean_token_accuracy": 0.24095088988542557, + "num_tokens": 15741194.0, + "step": 7015 + }, + { + "entropy": 5.4275898933410645, + "epoch": 7.589507842076799, + "grad_norm": 1.125, + "learning_rate": 0.00012596046656900323, + "loss": 4.6905, + "mean_token_accuracy": 0.25003129839897154, + "num_tokens": 15752594.0, + "step": 7020 + }, + { + "entropy": 5.448650074005127, + "epoch": 7.594916170903191, + "grad_norm": 1.0625, + "learning_rate": 0.0001256394120401813, + "loss": 4.7101, + "mean_token_accuracy": 0.24013070166110992, + "num_tokens": 15764121.0, + "step": 7025 + }, + { + "entropy": 5.455530309677124, + "epoch": 7.600324499729584, + "grad_norm": 1.03125, + "learning_rate": 0.00012531890028808122, + "loss": 4.6706, + "mean_token_accuracy": 0.24022805839776992, + "num_tokens": 15775842.0, + "step": 7030 + }, + { + "entropy": 5.462522268295288, + "epoch": 7.605732828555976, + "grad_norm": 1.21875, + "learning_rate": 0.0001249989324774434, + "loss": 4.6204, + "mean_token_accuracy": 0.24893483370542527, + "num_tokens": 15787663.0, + "step": 7035 + }, + { + "entropy": 5.4826967239379885, + "epoch": 7.611141157382368, + "grad_norm": 1.09375, + "learning_rate": 0.00012467950977103158, + "loss": 4.6754, + "mean_token_accuracy": 0.23806458562612534, + "num_tokens": 15799675.0, + "step": 7040 + }, + { + "entropy": 5.448901271820068, + "epoch": 7.616549486208761, + "grad_norm": 1.03125, + "learning_rate": 0.00012436063332962852, + "loss": 4.7347, + "mean_token_accuracy": 0.23882138431072236, + "num_tokens": 15810772.0, + "step": 7045 + }, + { + "entropy": 5.473357391357422, + "epoch": 7.621957815035154, + "grad_norm": 1.0859375, + "learning_rate": 0.00012404230431203227, + "loss": 4.7761, + "mean_token_accuracy": 0.2378004312515259, + "num_tokens": 15823711.0, + "step": 7050 + }, + { + "entropy": 5.415027236938476, + "epoch": 7.627366143861547, + "grad_norm": 1.1328125, + "learning_rate": 0.00012372452387505087, + "loss": 4.6382, + "mean_token_accuracy": 0.24569786489009857, + "num_tokens": 15834603.0, + "step": 7055 + }, + { + "entropy": 5.376887321472168, + "epoch": 7.63277447268794, + "grad_norm": 1.0, + "learning_rate": 0.0001234072931734993, + "loss": 4.6471, + "mean_token_accuracy": 0.2411333292722702, + "num_tokens": 15846238.0, + "step": 7060 + }, + { + "entropy": 5.524644470214843, + "epoch": 7.638182801514332, + "grad_norm": 1.0078125, + "learning_rate": 0.00012309061336019465, + "loss": 4.8, + "mean_token_accuracy": 0.22993574738502504, + "num_tokens": 15858560.0, + "step": 7065 + }, + { + "entropy": 5.416137933731079, + "epoch": 7.643591130340725, + "grad_norm": 1.03125, + "learning_rate": 0.00012277448558595212, + "loss": 4.6533, + "mean_token_accuracy": 0.2425800859928131, + "num_tokens": 15870624.0, + "step": 7070 + }, + { + "entropy": 5.454917049407959, + "epoch": 7.6489994591671175, + "grad_norm": 1.09375, + "learning_rate": 0.00012245891099958074, + "loss": 4.6744, + "mean_token_accuracy": 0.24045936465263368, + "num_tokens": 15881199.0, + "step": 7075 + }, + { + "entropy": 5.495878791809082, + "epoch": 7.6544077879935095, + "grad_norm": 1.0546875, + "learning_rate": 0.0001221438907478793, + "loss": 4.7903, + "mean_token_accuracy": 0.23239711970090865, + "num_tokens": 15893270.0, + "step": 7080 + }, + { + "entropy": 5.421728515625, + "epoch": 7.659816116819902, + "grad_norm": 1.09375, + "learning_rate": 0.00012182942597563213, + "loss": 4.6349, + "mean_token_accuracy": 0.24187428802251815, + "num_tokens": 15904509.0, + "step": 7085 + }, + { + "entropy": 5.419718074798584, + "epoch": 7.665224445646295, + "grad_norm": 1.203125, + "learning_rate": 0.00012151551782560499, + "loss": 4.6072, + "mean_token_accuracy": 0.2526846662163734, + "num_tokens": 15914913.0, + "step": 7090 + }, + { + "entropy": 5.489346218109131, + "epoch": 7.670632774472688, + "grad_norm": 1.171875, + "learning_rate": 0.00012120216743854068, + "loss": 4.7075, + "mean_token_accuracy": 0.24569393545389176, + "num_tokens": 15925742.0, + "step": 7095 + }, + { + "entropy": 5.388180208206177, + "epoch": 7.676041103299081, + "grad_norm": 1.03125, + "learning_rate": 0.00012088937595315525, + "loss": 4.6899, + "mean_token_accuracy": 0.24826941937208175, + "num_tokens": 15936165.0, + "step": 7100 + }, + { + "entropy": 5.413707208633423, + "epoch": 7.681449432125473, + "grad_norm": 1.1484375, + "learning_rate": 0.0001205771445061339, + "loss": 4.7469, + "mean_token_accuracy": 0.23956471979618071, + "num_tokens": 15948570.0, + "step": 7105 + }, + { + "entropy": 5.4949205875396725, + "epoch": 7.686857760951866, + "grad_norm": 1.015625, + "learning_rate": 0.0001202654742321262, + "loss": 4.7265, + "mean_token_accuracy": 0.23922350108623505, + "num_tokens": 15959890.0, + "step": 7110 + }, + { + "entropy": 5.452880001068115, + "epoch": 7.692266089778259, + "grad_norm": 1.1796875, + "learning_rate": 0.00011995436626374272, + "loss": 4.673, + "mean_token_accuracy": 0.24784787148237228, + "num_tokens": 15970632.0, + "step": 7115 + }, + { + "entropy": 5.416787195205688, + "epoch": 7.6976744186046515, + "grad_norm": 1.25, + "learning_rate": 0.00011964382173155053, + "loss": 4.6689, + "mean_token_accuracy": 0.2400309830904007, + "num_tokens": 15981352.0, + "step": 7120 + }, + { + "entropy": 5.4355627536773685, + "epoch": 7.7030827474310435, + "grad_norm": 1.234375, + "learning_rate": 0.00011933384176406915, + "loss": 4.646, + "mean_token_accuracy": 0.2374104455113411, + "num_tokens": 15991619.0, + "step": 7125 + }, + { + "entropy": 5.429497241973877, + "epoch": 7.708491076257436, + "grad_norm": 1.125, + "learning_rate": 0.0001190244274877666, + "loss": 4.6864, + "mean_token_accuracy": 0.2413660168647766, + "num_tokens": 16001588.0, + "step": 7130 + }, + { + "entropy": 5.494664478302002, + "epoch": 7.713899405083829, + "grad_norm": 1.0390625, + "learning_rate": 0.00011871558002705501, + "loss": 4.7115, + "mean_token_accuracy": 0.24696183651685716, + "num_tokens": 16013230.0, + "step": 7135 + }, + { + "entropy": 5.471933650970459, + "epoch": 7.719307733910222, + "grad_norm": 1.0703125, + "learning_rate": 0.00011840730050428666, + "loss": 4.7204, + "mean_token_accuracy": 0.2421387568116188, + "num_tokens": 16024310.0, + "step": 7140 + }, + { + "entropy": 5.53667459487915, + "epoch": 7.724716062736614, + "grad_norm": 1.1796875, + "learning_rate": 0.0001180995900397503, + "loss": 4.77, + "mean_token_accuracy": 0.24355804920196533, + "num_tokens": 16035188.0, + "step": 7145 + }, + { + "entropy": 5.480495023727417, + "epoch": 7.730124391563007, + "grad_norm": 1.1953125, + "learning_rate": 0.00011779244975166623, + "loss": 4.7301, + "mean_token_accuracy": 0.24054988771677016, + "num_tokens": 16046354.0, + "step": 7150 + }, + { + "entropy": 5.426711893081665, + "epoch": 7.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00011748588075618305, + "loss": 4.7118, + "mean_token_accuracy": 0.24877999126911163, + "num_tokens": 16056809.0, + "step": 7155 + }, + { + "entropy": 5.4671995639801025, + "epoch": 7.740941049215793, + "grad_norm": 1.21875, + "learning_rate": 0.00011717988416737322, + "loss": 4.7184, + "mean_token_accuracy": 0.24492209553718566, + "num_tokens": 16067440.0, + "step": 7160 + }, + { + "entropy": 5.4140464782714846, + "epoch": 7.746349378042185, + "grad_norm": 1.0625, + "learning_rate": 0.00011687446109722904, + "loss": 4.6476, + "mean_token_accuracy": 0.24424516260623932, + "num_tokens": 16078126.0, + "step": 7165 + }, + { + "entropy": 5.456424331665039, + "epoch": 7.7517577068685775, + "grad_norm": 1.0625, + "learning_rate": 0.00011656961265565864, + "loss": 4.7301, + "mean_token_accuracy": 0.24294260144233704, + "num_tokens": 16090823.0, + "step": 7170 + }, + { + "entropy": 5.463951253890992, + "epoch": 7.75716603569497, + "grad_norm": 1.015625, + "learning_rate": 0.00011626533995048204, + "loss": 4.67, + "mean_token_accuracy": 0.24340787380933762, + "num_tokens": 16102544.0, + "step": 7175 + }, + { + "entropy": 5.5464982986450195, + "epoch": 7.762574364521363, + "grad_norm": 1.1875, + "learning_rate": 0.00011596164408742675, + "loss": 4.8036, + "mean_token_accuracy": 0.2365711435675621, + "num_tokens": 16113573.0, + "step": 7180 + }, + { + "entropy": 5.379365015029907, + "epoch": 7.767982693347756, + "grad_norm": 1.1328125, + "learning_rate": 0.00011565852617012452, + "loss": 4.6496, + "mean_token_accuracy": 0.24278265684843064, + "num_tokens": 16124999.0, + "step": 7185 + }, + { + "entropy": 5.405616998672485, + "epoch": 7.773391022174148, + "grad_norm": 1.1171875, + "learning_rate": 0.00011535598730010633, + "loss": 4.6691, + "mean_token_accuracy": 0.2426201358437538, + "num_tokens": 16134941.0, + "step": 7190 + }, + { + "entropy": 5.482621383666992, + "epoch": 7.778799351000541, + "grad_norm": 1.0859375, + "learning_rate": 0.00011505402857679921, + "loss": 4.6785, + "mean_token_accuracy": 0.24790813624858857, + "num_tokens": 16146336.0, + "step": 7195 + }, + { + "entropy": 5.498623847961426, + "epoch": 7.784207679826934, + "grad_norm": 1.0546875, + "learning_rate": 0.00011475265109752187, + "loss": 4.7665, + "mean_token_accuracy": 0.2398320570588112, + "num_tokens": 16158539.0, + "step": 7200 + }, + { + "entropy": 5.464281845092773, + "epoch": 7.789616008653326, + "grad_norm": 1.125, + "learning_rate": 0.00011445185595748074, + "loss": 4.7972, + "mean_token_accuracy": 0.2307965487241745, + "num_tokens": 16170878.0, + "step": 7205 + }, + { + "entropy": 5.391339731216431, + "epoch": 7.795024337479719, + "grad_norm": 1.1484375, + "learning_rate": 0.0001141516442497661, + "loss": 4.6314, + "mean_token_accuracy": 0.23817023634910583, + "num_tokens": 16182076.0, + "step": 7210 + }, + { + "entropy": 5.396452331542969, + "epoch": 7.800432666306111, + "grad_norm": 1.078125, + "learning_rate": 0.00011385201706534803, + "loss": 4.6701, + "mean_token_accuracy": 0.24000394940376282, + "num_tokens": 16192850.0, + "step": 7215 + }, + { + "entropy": 5.375637197494507, + "epoch": 7.805840995132504, + "grad_norm": 1.09375, + "learning_rate": 0.0001135529754930722, + "loss": 4.6392, + "mean_token_accuracy": 0.24287021309137344, + "num_tokens": 16204118.0, + "step": 7220 + }, + { + "entropy": 5.557591438293457, + "epoch": 7.811249323958897, + "grad_norm": 1.1171875, + "learning_rate": 0.00011325452061965662, + "loss": 4.7428, + "mean_token_accuracy": 0.23815116435289382, + "num_tokens": 16215513.0, + "step": 7225 + }, + { + "entropy": 5.451365947723389, + "epoch": 7.816657652785289, + "grad_norm": 1.1796875, + "learning_rate": 0.00011295665352968692, + "loss": 4.7363, + "mean_token_accuracy": 0.23681218177080154, + "num_tokens": 16228169.0, + "step": 7230 + }, + { + "entropy": 5.480658626556396, + "epoch": 7.822065981611682, + "grad_norm": 1.234375, + "learning_rate": 0.00011265937530561271, + "loss": 4.6689, + "mean_token_accuracy": 0.2397017553448677, + "num_tokens": 16239200.0, + "step": 7235 + }, + { + "entropy": 5.530086040496826, + "epoch": 7.827474310438075, + "grad_norm": 1.1328125, + "learning_rate": 0.00011236268702774377, + "loss": 4.7757, + "mean_token_accuracy": 0.23204438984394074, + "num_tokens": 16250979.0, + "step": 7240 + }, + { + "entropy": 5.450435733795166, + "epoch": 7.832882639264467, + "grad_norm": 1.1796875, + "learning_rate": 0.00011206658977424605, + "loss": 4.693, + "mean_token_accuracy": 0.2333730399608612, + "num_tokens": 16262103.0, + "step": 7245 + }, + { + "entropy": 5.4131334781646725, + "epoch": 7.83829096809086, + "grad_norm": 1.1015625, + "learning_rate": 0.00011177108462113761, + "loss": 4.6902, + "mean_token_accuracy": 0.24078061431646347, + "num_tokens": 16272948.0, + "step": 7250 + }, + { + "entropy": 5.436950731277466, + "epoch": 7.8436992969172525, + "grad_norm": 1.1328125, + "learning_rate": 0.00011147617264228491, + "loss": 4.6133, + "mean_token_accuracy": 0.2494473084807396, + "num_tokens": 16283180.0, + "step": 7255 + }, + { + "entropy": 5.441599941253662, + "epoch": 7.849107625743645, + "grad_norm": 1.0703125, + "learning_rate": 0.00011118185490939861, + "loss": 4.6331, + "mean_token_accuracy": 0.251367150247097, + "num_tokens": 16294886.0, + "step": 7260 + }, + { + "entropy": 5.464648628234864, + "epoch": 7.854515954570038, + "grad_norm": 1.1171875, + "learning_rate": 0.00011088813249203019, + "loss": 4.6634, + "mean_token_accuracy": 0.25127213448286057, + "num_tokens": 16305979.0, + "step": 7265 + }, + { + "entropy": 5.401372051239013, + "epoch": 7.85992428339643, + "grad_norm": 0.9609375, + "learning_rate": 0.00011059500645756762, + "loss": 4.6638, + "mean_token_accuracy": 0.23800498843193055, + "num_tokens": 16318645.0, + "step": 7270 + }, + { + "entropy": 5.375847434997558, + "epoch": 7.865332612222823, + "grad_norm": 1.109375, + "learning_rate": 0.00011030247787123147, + "loss": 4.6428, + "mean_token_accuracy": 0.24710031747817993, + "num_tokens": 16329907.0, + "step": 7275 + }, + { + "entropy": 5.449215126037598, + "epoch": 7.870740941049216, + "grad_norm": 1.1015625, + "learning_rate": 0.00011001054779607121, + "loss": 4.7858, + "mean_token_accuracy": 0.2368557870388031, + "num_tokens": 16342531.0, + "step": 7280 + }, + { + "entropy": 5.461852312088013, + "epoch": 7.876149269875609, + "grad_norm": 1.171875, + "learning_rate": 0.00010971921729296172, + "loss": 4.6284, + "mean_token_accuracy": 0.2432481676340103, + "num_tokens": 16355394.0, + "step": 7285 + }, + { + "entropy": 5.381710481643677, + "epoch": 7.881557598702001, + "grad_norm": 1.15625, + "learning_rate": 0.00010942848742059845, + "loss": 4.5176, + "mean_token_accuracy": 0.26522424519062043, + "num_tokens": 16366049.0, + "step": 7290 + }, + { + "entropy": 5.439858341217041, + "epoch": 7.886965927528394, + "grad_norm": 1.0, + "learning_rate": 0.00010913835923549453, + "loss": 4.6763, + "mean_token_accuracy": 0.24100939333438873, + "num_tokens": 16378597.0, + "step": 7295 + }, + { + "entropy": 5.507377433776855, + "epoch": 7.8923742563547865, + "grad_norm": 1.046875, + "learning_rate": 0.00010884883379197643, + "loss": 4.8337, + "mean_token_accuracy": 0.2296651244163513, + "num_tokens": 16391417.0, + "step": 7300 + }, + { + "entropy": 5.442261743545532, + "epoch": 7.897782585181179, + "grad_norm": 1.1484375, + "learning_rate": 0.00010855991214218028, + "loss": 4.6895, + "mean_token_accuracy": 0.24659370332956315, + "num_tokens": 16402188.0, + "step": 7305 + }, + { + "entropy": 5.4488245964050295, + "epoch": 7.903190914007571, + "grad_norm": 1.1015625, + "learning_rate": 0.00010827159533604814, + "loss": 4.7273, + "mean_token_accuracy": 0.24307797700166703, + "num_tokens": 16415124.0, + "step": 7310 + }, + { + "entropy": 5.47108826637268, + "epoch": 7.908599242833964, + "grad_norm": 1.0234375, + "learning_rate": 0.00010798388442132375, + "loss": 4.726, + "mean_token_accuracy": 0.23914463967084884, + "num_tokens": 16426536.0, + "step": 7315 + }, + { + "entropy": 5.472820854187011, + "epoch": 7.914007571660357, + "grad_norm": 1.0703125, + "learning_rate": 0.00010769678044354927, + "loss": 4.6824, + "mean_token_accuracy": 0.24461480379104614, + "num_tokens": 16438417.0, + "step": 7320 + }, + { + "entropy": 5.444475698471069, + "epoch": 7.91941590048675, + "grad_norm": 1.15625, + "learning_rate": 0.00010741028444606141, + "loss": 4.6947, + "mean_token_accuracy": 0.23717159330844878, + "num_tokens": 16449271.0, + "step": 7325 + }, + { + "entropy": 5.5423647403717045, + "epoch": 7.924824229313142, + "grad_norm": 1.0390625, + "learning_rate": 0.00010712439746998711, + "loss": 4.7897, + "mean_token_accuracy": 0.23704513907432556, + "num_tokens": 16460387.0, + "step": 7330 + }, + { + "entropy": 5.444651031494141, + "epoch": 7.930232558139535, + "grad_norm": 1.1875, + "learning_rate": 0.00010683912055424036, + "loss": 4.6753, + "mean_token_accuracy": 0.24380592852830887, + "num_tokens": 16471262.0, + "step": 7335 + }, + { + "entropy": 5.476079893112183, + "epoch": 7.935640886965928, + "grad_norm": 1.1328125, + "learning_rate": 0.00010655445473551809, + "loss": 4.717, + "mean_token_accuracy": 0.2410126581788063, + "num_tokens": 16482605.0, + "step": 7340 + }, + { + "entropy": 5.527096271514893, + "epoch": 7.9410492157923205, + "grad_norm": 1.0078125, + "learning_rate": 0.00010627040104829658, + "loss": 4.8036, + "mean_token_accuracy": 0.2348283812403679, + "num_tokens": 16493951.0, + "step": 7345 + }, + { + "entropy": 5.456842517852783, + "epoch": 7.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00010598696052482759, + "loss": 4.6976, + "mean_token_accuracy": 0.24492332637310027, + "num_tokens": 16506236.0, + "step": 7350 + }, + { + "entropy": 5.3653977394104, + "epoch": 7.951865873445105, + "grad_norm": 1.1953125, + "learning_rate": 0.0001057041341951347, + "loss": 4.5836, + "mean_token_accuracy": 0.25700664669275286, + "num_tokens": 16518339.0, + "step": 7355 + }, + { + "entropy": 5.5039787769317625, + "epoch": 7.957274202271498, + "grad_norm": 1.109375, + "learning_rate": 0.00010542192308700925, + "loss": 4.696, + "mean_token_accuracy": 0.23916687071323395, + "num_tokens": 16528733.0, + "step": 7360 + }, + { + "entropy": 5.485801410675049, + "epoch": 7.962682531097891, + "grad_norm": 1.0078125, + "learning_rate": 0.00010514032822600733, + "loss": 4.7267, + "mean_token_accuracy": 0.2381901979446411, + "num_tokens": 16540776.0, + "step": 7365 + }, + { + "entropy": 5.451934957504273, + "epoch": 7.968090859924283, + "grad_norm": 1.046875, + "learning_rate": 0.00010485935063544507, + "loss": 4.689, + "mean_token_accuracy": 0.24322576075792313, + "num_tokens": 16550818.0, + "step": 7370 + }, + { + "entropy": 5.453809833526611, + "epoch": 7.973499188750676, + "grad_norm": 1.203125, + "learning_rate": 0.00010457899133639579, + "loss": 4.6948, + "mean_token_accuracy": 0.2377357676625252, + "num_tokens": 16561791.0, + "step": 7375 + }, + { + "entropy": 5.454491090774536, + "epoch": 7.978907517577069, + "grad_norm": 1.015625, + "learning_rate": 0.00010429925134768584, + "loss": 4.7094, + "mean_token_accuracy": 0.24362270534038544, + "num_tokens": 16573360.0, + "step": 7380 + }, + { + "entropy": 5.455304384231567, + "epoch": 7.984315846403462, + "grad_norm": 1.109375, + "learning_rate": 0.00010402013168589092, + "loss": 4.6871, + "mean_token_accuracy": 0.24073503017425538, + "num_tokens": 16584061.0, + "step": 7385 + }, + { + "entropy": 5.498722267150879, + "epoch": 7.9897241752298545, + "grad_norm": 1.1953125, + "learning_rate": 0.00010374163336533261, + "loss": 4.7115, + "mean_token_accuracy": 0.24242723137140273, + "num_tokens": 16594178.0, + "step": 7390 + }, + { + "entropy": 5.465503931045532, + "epoch": 7.995132504056246, + "grad_norm": 1.0625, + "learning_rate": 0.00010346375739807448, + "loss": 4.7691, + "mean_token_accuracy": 0.23564232885837555, + "num_tokens": 16605577.0, + "step": 7395 + }, + { + "entropy": 5.464390542772081, + "epoch": 8.0, + "grad_norm": 1.7578125, + "learning_rate": 0.00010318650479391825, + "loss": 4.9279, + "mean_token_accuracy": 0.2289217991961373, + "num_tokens": 16615112.0, + "step": 7400 + }, + { + "entropy": 5.47802357673645, + "epoch": 8.005408328826393, + "grad_norm": 1.1015625, + "learning_rate": 0.00010290987656040076, + "loss": 4.6055, + "mean_token_accuracy": 0.250070184469223, + "num_tokens": 16625050.0, + "step": 7405 + }, + { + "entropy": 5.419842958450317, + "epoch": 8.010816657652786, + "grad_norm": 1.0234375, + "learning_rate": 0.00010263387370278948, + "loss": 4.6823, + "mean_token_accuracy": 0.24250650703907012, + "num_tokens": 16636536.0, + "step": 7410 + }, + { + "entropy": 5.510037469863891, + "epoch": 8.016224986479179, + "grad_norm": 1.046875, + "learning_rate": 0.0001023584972240795, + "loss": 4.6833, + "mean_token_accuracy": 0.2475518226623535, + "num_tokens": 16647439.0, + "step": 7415 + }, + { + "entropy": 5.482249116897583, + "epoch": 8.021633315305571, + "grad_norm": 0.9765625, + "learning_rate": 0.00010208374812498955, + "loss": 4.6558, + "mean_token_accuracy": 0.24430694729089736, + "num_tokens": 16659778.0, + "step": 7420 + }, + { + "entropy": 5.473934984207153, + "epoch": 8.027041644131963, + "grad_norm": 1.09375, + "learning_rate": 0.00010180962740395853, + "loss": 4.6552, + "mean_token_accuracy": 0.24364316910505296, + "num_tokens": 16671095.0, + "step": 7425 + }, + { + "entropy": 5.4153577327728275, + "epoch": 8.032449972958355, + "grad_norm": 1.1953125, + "learning_rate": 0.00010153613605714173, + "loss": 4.5976, + "mean_token_accuracy": 0.24691200405359268, + "num_tokens": 16682401.0, + "step": 7430 + }, + { + "entropy": 5.469314336776733, + "epoch": 8.037858301784748, + "grad_norm": 1.109375, + "learning_rate": 0.00010126327507840744, + "loss": 4.6506, + "mean_token_accuracy": 0.252379909157753, + "num_tokens": 16692606.0, + "step": 7435 + }, + { + "entropy": 5.410546731948853, + "epoch": 8.043266630611141, + "grad_norm": 1.1328125, + "learning_rate": 0.00010099104545933288, + "loss": 4.5712, + "mean_token_accuracy": 0.25820337384939196, + "num_tokens": 16704771.0, + "step": 7440 + }, + { + "entropy": 5.384668970108033, + "epoch": 8.048674959437534, + "grad_norm": 0.9375, + "learning_rate": 0.00010071944818920127, + "loss": 4.6552, + "mean_token_accuracy": 0.24849636107683182, + "num_tokens": 16717512.0, + "step": 7445 + }, + { + "entropy": 5.443715047836304, + "epoch": 8.054083288263927, + "grad_norm": 0.98046875, + "learning_rate": 0.0001004484842549978, + "loss": 4.6667, + "mean_token_accuracy": 0.24980415850877763, + "num_tokens": 16729457.0, + "step": 7450 + }, + { + "entropy": 5.450451183319092, + "epoch": 8.05949161709032, + "grad_norm": 1.0625, + "learning_rate": 0.00010017815464140583, + "loss": 4.6362, + "mean_token_accuracy": 0.25708851516246795, + "num_tokens": 16741195.0, + "step": 7455 + }, + { + "entropy": 5.417760133743286, + "epoch": 8.064899945916713, + "grad_norm": 1.1640625, + "learning_rate": 9.990846033080389e-05, + "loss": 4.6228, + "mean_token_accuracy": 0.2414257511496544, + "num_tokens": 16752261.0, + "step": 7460 + }, + { + "entropy": 5.442473030090332, + "epoch": 8.070308274743104, + "grad_norm": 1.1953125, + "learning_rate": 9.963940230326176e-05, + "loss": 4.6233, + "mean_token_accuracy": 0.26104655861854553, + "num_tokens": 16763492.0, + "step": 7465 + }, + { + "entropy": 5.4000101566314695, + "epoch": 8.075716603569496, + "grad_norm": 1.0703125, + "learning_rate": 9.937098153653687e-05, + "loss": 4.6045, + "mean_token_accuracy": 0.2507203996181488, + "num_tokens": 16775218.0, + "step": 7470 + }, + { + "entropy": 5.359610509872437, + "epoch": 8.08112493239589, + "grad_norm": 1.078125, + "learning_rate": 9.910319900607104e-05, + "loss": 4.5564, + "mean_token_accuracy": 0.24946845918893815, + "num_tokens": 16786589.0, + "step": 7475 + }, + { + "entropy": 5.432454395294189, + "epoch": 8.086533261222282, + "grad_norm": 1.046875, + "learning_rate": 9.883605568498635e-05, + "loss": 4.5938, + "mean_token_accuracy": 0.25214662700891494, + "num_tokens": 16798308.0, + "step": 7480 + }, + { + "entropy": 5.478470659255981, + "epoch": 8.091941590048675, + "grad_norm": 1.046875, + "learning_rate": 9.856955254408248e-05, + "loss": 4.7026, + "mean_token_accuracy": 0.24253612458705903, + "num_tokens": 16810039.0, + "step": 7485 + }, + { + "entropy": 5.3934972286224365, + "epoch": 8.097349918875068, + "grad_norm": 1.1796875, + "learning_rate": 9.830369055183244e-05, + "loss": 4.6452, + "mean_token_accuracy": 0.24484411627054214, + "num_tokens": 16820571.0, + "step": 7490 + }, + { + "entropy": 5.449046611785889, + "epoch": 8.10275824770146, + "grad_norm": 1.1640625, + "learning_rate": 9.80384706743792e-05, + "loss": 4.625, + "mean_token_accuracy": 0.24314706325531005, + "num_tokens": 16831165.0, + "step": 7495 + }, + { + "entropy": 5.5349438190460205, + "epoch": 8.108166576527854, + "grad_norm": 1.0625, + "learning_rate": 9.777389387553243e-05, + "loss": 4.7445, + "mean_token_accuracy": 0.23332213163375853, + "num_tokens": 16842599.0, + "step": 7500 + }, + { + "epoch": 8.108166576527854, + "eval_entropy": 5.340487690405412, + "eval_loss": 5.837372303009033, + "eval_mean_token_accuracy": 0.18408739008009434, + "eval_num_tokens": 16842599.0, + "eval_runtime": 3.5461, + "eval_samples_per_second": 991.217, + "eval_steps_per_second": 124.078, + "step": 7500 + }, + { + "entropy": 5.510523986816406, + "epoch": 8.113574905354245, + "grad_norm": 1.1171875, + "learning_rate": 9.750996111676497e-05, + "loss": 4.7427, + "mean_token_accuracy": 0.24279462695121765, + "num_tokens": 16854408.0, + "step": 7505 + }, + { + "entropy": 5.551241254806518, + "epoch": 8.118983234180638, + "grad_norm": 1.203125, + "learning_rate": 9.724667335720894e-05, + "loss": 4.7255, + "mean_token_accuracy": 0.24231787472963334, + "num_tokens": 16865662.0, + "step": 7510 + }, + { + "entropy": 5.5055968284606935, + "epoch": 8.12439156300703, + "grad_norm": 1.125, + "learning_rate": 9.698403155365268e-05, + "loss": 4.6819, + "mean_token_accuracy": 0.250739324092865, + "num_tokens": 16876621.0, + "step": 7515 + }, + { + "entropy": 5.438814687728882, + "epoch": 8.129799891833423, + "grad_norm": 1.0234375, + "learning_rate": 9.672203666053714e-05, + "loss": 4.6423, + "mean_token_accuracy": 0.24598823934793473, + "num_tokens": 16888989.0, + "step": 7520 + }, + { + "entropy": 5.513745975494385, + "epoch": 8.135208220659816, + "grad_norm": 1.1484375, + "learning_rate": 9.646068962995235e-05, + "loss": 4.7414, + "mean_token_accuracy": 0.23878957331180573, + "num_tokens": 16900153.0, + "step": 7525 + }, + { + "entropy": 5.413127660751343, + "epoch": 8.140616549486209, + "grad_norm": 0.9609375, + "learning_rate": 9.619999141163415e-05, + "loss": 4.7135, + "mean_token_accuracy": 0.2399488776922226, + "num_tokens": 16913304.0, + "step": 7530 + }, + { + "entropy": 5.470810413360596, + "epoch": 8.146024878312602, + "grad_norm": 1.046875, + "learning_rate": 9.593994295296024e-05, + "loss": 4.6999, + "mean_token_accuracy": 0.2426486998796463, + "num_tokens": 16925050.0, + "step": 7535 + }, + { + "entropy": 5.3831323146820065, + "epoch": 8.151433207138995, + "grad_norm": 1.1953125, + "learning_rate": 9.56805451989474e-05, + "loss": 4.6595, + "mean_token_accuracy": 0.2414674863219261, + "num_tokens": 16935940.0, + "step": 7540 + }, + { + "entropy": 5.490802860260009, + "epoch": 8.156841535965386, + "grad_norm": 1.1171875, + "learning_rate": 9.54217990922478e-05, + "loss": 4.6986, + "mean_token_accuracy": 0.2410563424229622, + "num_tokens": 16947285.0, + "step": 7545 + }, + { + "entropy": 5.424769496917724, + "epoch": 8.162249864791779, + "grad_norm": 1.0703125, + "learning_rate": 9.516370557314525e-05, + "loss": 4.5926, + "mean_token_accuracy": 0.2493278279900551, + "num_tokens": 16958781.0, + "step": 7550 + }, + { + "entropy": 5.430429935455322, + "epoch": 8.167658193618172, + "grad_norm": 1.046875, + "learning_rate": 9.490626557955221e-05, + "loss": 4.6489, + "mean_token_accuracy": 0.25174000561237336, + "num_tokens": 16970277.0, + "step": 7555 + }, + { + "entropy": 5.525951814651489, + "epoch": 8.173066522444564, + "grad_norm": 1.0703125, + "learning_rate": 9.464948004700626e-05, + "loss": 4.6902, + "mean_token_accuracy": 0.2522933125495911, + "num_tokens": 16983250.0, + "step": 7560 + }, + { + "entropy": 5.472453880310058, + "epoch": 8.178474851270957, + "grad_norm": 1.1328125, + "learning_rate": 9.439334990866658e-05, + "loss": 4.6654, + "mean_token_accuracy": 0.25425503104925157, + "num_tokens": 16994531.0, + "step": 7565 + }, + { + "entropy": 5.477163600921631, + "epoch": 8.18388318009735, + "grad_norm": 1.21875, + "learning_rate": 9.413787609531072e-05, + "loss": 4.6674, + "mean_token_accuracy": 0.25146382600069045, + "num_tokens": 17006107.0, + "step": 7570 + }, + { + "entropy": 5.489937686920166, + "epoch": 8.189291508923743, + "grad_norm": 1.1640625, + "learning_rate": 9.38830595353311e-05, + "loss": 4.723, + "mean_token_accuracy": 0.23688765317201615, + "num_tokens": 17017243.0, + "step": 7575 + }, + { + "entropy": 5.47594690322876, + "epoch": 8.194699837750136, + "grad_norm": 1.109375, + "learning_rate": 9.362890115473161e-05, + "loss": 4.6277, + "mean_token_accuracy": 0.24465895891189576, + "num_tokens": 17026915.0, + "step": 7580 + }, + { + "entropy": 5.454527521133423, + "epoch": 8.200108166576527, + "grad_norm": 1.1875, + "learning_rate": 9.337540187712453e-05, + "loss": 4.6434, + "mean_token_accuracy": 0.24471478015184403, + "num_tokens": 17036135.0, + "step": 7585 + }, + { + "entropy": 5.448494863510132, + "epoch": 8.20551649540292, + "grad_norm": 1.0703125, + "learning_rate": 9.312256262372674e-05, + "loss": 4.6166, + "mean_token_accuracy": 0.24890027344226837, + "num_tokens": 17046660.0, + "step": 7590 + }, + { + "entropy": 5.412955474853516, + "epoch": 8.210924824229313, + "grad_norm": 1.015625, + "learning_rate": 9.28703843133566e-05, + "loss": 4.6016, + "mean_token_accuracy": 0.25200228542089465, + "num_tokens": 17057923.0, + "step": 7595 + }, + { + "entropy": 5.4411906719207765, + "epoch": 8.216333153055706, + "grad_norm": 1.109375, + "learning_rate": 9.261886786243087e-05, + "loss": 4.6702, + "mean_token_accuracy": 0.24631363600492479, + "num_tokens": 17070053.0, + "step": 7600 + }, + { + "entropy": 5.477663946151734, + "epoch": 8.221741481882098, + "grad_norm": 0.98828125, + "learning_rate": 9.236801418496071e-05, + "loss": 4.6878, + "mean_token_accuracy": 0.24161387532949447, + "num_tokens": 17082311.0, + "step": 7605 + }, + { + "entropy": 5.457633399963379, + "epoch": 8.227149810708491, + "grad_norm": 1.0859375, + "learning_rate": 9.21178241925491e-05, + "loss": 4.7561, + "mean_token_accuracy": 0.23157817274332046, + "num_tokens": 17093073.0, + "step": 7610 + }, + { + "entropy": 5.4540486335754395, + "epoch": 8.232558139534884, + "grad_norm": 1.21875, + "learning_rate": 9.186829879438696e-05, + "loss": 4.6082, + "mean_token_accuracy": 0.24863191395998002, + "num_tokens": 17102753.0, + "step": 7615 + }, + { + "entropy": 5.433753538131714, + "epoch": 8.237966468361277, + "grad_norm": 1.1328125, + "learning_rate": 9.161943889725021e-05, + "loss": 4.6471, + "mean_token_accuracy": 0.24726097136735917, + "num_tokens": 17113519.0, + "step": 7620 + }, + { + "entropy": 5.47761344909668, + "epoch": 8.24337479718767, + "grad_norm": 1.015625, + "learning_rate": 9.137124540549638e-05, + "loss": 4.6522, + "mean_token_accuracy": 0.2481951430439949, + "num_tokens": 17125634.0, + "step": 7625 + }, + { + "entropy": 5.453316879272461, + "epoch": 8.248783126014061, + "grad_norm": 1.0390625, + "learning_rate": 9.1123719221061e-05, + "loss": 4.6028, + "mean_token_accuracy": 0.24958553910255432, + "num_tokens": 17136982.0, + "step": 7630 + }, + { + "entropy": 5.421119499206543, + "epoch": 8.254191454840454, + "grad_norm": 1.0703125, + "learning_rate": 9.087686124345486e-05, + "loss": 4.6542, + "mean_token_accuracy": 0.2427103653550148, + "num_tokens": 17148299.0, + "step": 7635 + }, + { + "entropy": 5.43115816116333, + "epoch": 8.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 9.063067236976055e-05, + "loss": 4.663, + "mean_token_accuracy": 0.24270786195993424, + "num_tokens": 17161224.0, + "step": 7640 + }, + { + "entropy": 5.372230863571167, + "epoch": 8.26500811249324, + "grad_norm": 1.125, + "learning_rate": 9.038515349462887e-05, + "loss": 4.5896, + "mean_token_accuracy": 0.2515710100531578, + "num_tokens": 17172406.0, + "step": 7645 + }, + { + "entropy": 5.51184229850769, + "epoch": 8.270416441319632, + "grad_norm": 1.1171875, + "learning_rate": 9.014030551027601e-05, + "loss": 4.677, + "mean_token_accuracy": 0.24752892255783082, + "num_tokens": 17182626.0, + "step": 7650 + }, + { + "entropy": 5.4033996105194095, + "epoch": 8.275824770146025, + "grad_norm": 1.0859375, + "learning_rate": 8.989612930648014e-05, + "loss": 4.6386, + "mean_token_accuracy": 0.24435791075229646, + "num_tokens": 17195651.0, + "step": 7655 + }, + { + "entropy": 5.3988096714019775, + "epoch": 8.281233098972418, + "grad_norm": 1.1640625, + "learning_rate": 8.965262577057811e-05, + "loss": 4.6546, + "mean_token_accuracy": 0.24611509889364241, + "num_tokens": 17207321.0, + "step": 7660 + }, + { + "entropy": 5.416755819320679, + "epoch": 8.286641427798811, + "grad_norm": 1.1484375, + "learning_rate": 8.940979578746236e-05, + "loss": 4.638, + "mean_token_accuracy": 0.24601612091064454, + "num_tokens": 17218212.0, + "step": 7665 + }, + { + "entropy": 5.477891826629639, + "epoch": 8.292049756625202, + "grad_norm": 1.03125, + "learning_rate": 8.916764023957766e-05, + "loss": 4.679, + "mean_token_accuracy": 0.247437746822834, + "num_tokens": 17230095.0, + "step": 7670 + }, + { + "entropy": 5.513516521453857, + "epoch": 8.297458085451595, + "grad_norm": 1.0234375, + "learning_rate": 8.892616000691766e-05, + "loss": 4.7701, + "mean_token_accuracy": 0.230373752117157, + "num_tokens": 17241380.0, + "step": 7675 + }, + { + "entropy": 5.423999786376953, + "epoch": 8.302866414277988, + "grad_norm": 1.1328125, + "learning_rate": 8.868535596702232e-05, + "loss": 4.6416, + "mean_token_accuracy": 0.2471378907561302, + "num_tokens": 17252136.0, + "step": 7680 + }, + { + "entropy": 5.430491876602173, + "epoch": 8.30827474310438, + "grad_norm": 1.15625, + "learning_rate": 8.844522899497387e-05, + "loss": 4.656, + "mean_token_accuracy": 0.24410931318998336, + "num_tokens": 17263150.0, + "step": 7685 + }, + { + "entropy": 5.36441330909729, + "epoch": 8.313683071930773, + "grad_norm": 0.9921875, + "learning_rate": 8.82057799633944e-05, + "loss": 4.6102, + "mean_token_accuracy": 0.24801189452409744, + "num_tokens": 17274993.0, + "step": 7690 + }, + { + "entropy": 5.445087242126465, + "epoch": 8.319091400757166, + "grad_norm": 1.0, + "learning_rate": 8.796700974244218e-05, + "loss": 4.6538, + "mean_token_accuracy": 0.2468579575419426, + "num_tokens": 17286559.0, + "step": 7695 + }, + { + "entropy": 5.4774007320404055, + "epoch": 8.32449972958356, + "grad_norm": 1.03125, + "learning_rate": 8.772891919980881e-05, + "loss": 4.6347, + "mean_token_accuracy": 0.25522580146789553, + "num_tokens": 17298034.0, + "step": 7700 + }, + { + "entropy": 5.443531227111817, + "epoch": 8.329908058409952, + "grad_norm": 1.109375, + "learning_rate": 8.74915092007158e-05, + "loss": 4.5536, + "mean_token_accuracy": 0.2588231563568115, + "num_tokens": 17309311.0, + "step": 7705 + }, + { + "entropy": 5.436644506454468, + "epoch": 8.335316387236343, + "grad_norm": 1.0859375, + "learning_rate": 8.725478060791175e-05, + "loss": 4.63, + "mean_token_accuracy": 0.2503485336899757, + "num_tokens": 17320414.0, + "step": 7710 + }, + { + "entropy": 5.484864139556885, + "epoch": 8.340724716062736, + "grad_norm": 1.03125, + "learning_rate": 8.701873428166874e-05, + "loss": 4.7094, + "mean_token_accuracy": 0.23894457817077636, + "num_tokens": 17330743.0, + "step": 7715 + }, + { + "entropy": 5.41112003326416, + "epoch": 8.346133044889129, + "grad_norm": 1.109375, + "learning_rate": 8.678337107977976e-05, + "loss": 4.6906, + "mean_token_accuracy": 0.24522272795438765, + "num_tokens": 17341636.0, + "step": 7720 + }, + { + "entropy": 5.43557071685791, + "epoch": 8.351541373715522, + "grad_norm": 1.171875, + "learning_rate": 8.654869185755532e-05, + "loss": 4.6792, + "mean_token_accuracy": 0.24282750189304353, + "num_tokens": 17352979.0, + "step": 7725 + }, + { + "entropy": 5.420865249633789, + "epoch": 8.356949702541915, + "grad_norm": 1.0390625, + "learning_rate": 8.631469746782011e-05, + "loss": 4.6896, + "mean_token_accuracy": 0.24247679114341736, + "num_tokens": 17364723.0, + "step": 7730 + }, + { + "entropy": 5.46372127532959, + "epoch": 8.362358031368307, + "grad_norm": 1.171875, + "learning_rate": 8.608138876091036e-05, + "loss": 4.7249, + "mean_token_accuracy": 0.24166302531957626, + "num_tokens": 17375078.0, + "step": 7735 + }, + { + "entropy": 5.469405889511108, + "epoch": 8.3677663601947, + "grad_norm": 1.2109375, + "learning_rate": 8.584876658467041e-05, + "loss": 4.7255, + "mean_token_accuracy": 0.23645605146884918, + "num_tokens": 17386414.0, + "step": 7740 + }, + { + "entropy": 5.4496986865997314, + "epoch": 8.373174689021093, + "grad_norm": 1.0703125, + "learning_rate": 8.561683178444979e-05, + "loss": 4.6594, + "mean_token_accuracy": 0.2442307636141777, + "num_tokens": 17397756.0, + "step": 7745 + }, + { + "entropy": 5.452625465393067, + "epoch": 8.378583017847484, + "grad_norm": 1.0703125, + "learning_rate": 8.53855852031002e-05, + "loss": 4.6075, + "mean_token_accuracy": 0.253352677822113, + "num_tokens": 17408425.0, + "step": 7750 + }, + { + "entropy": 5.42819299697876, + "epoch": 8.383991346673877, + "grad_norm": 1.015625, + "learning_rate": 8.515502768097204e-05, + "loss": 4.6591, + "mean_token_accuracy": 0.24390488117933273, + "num_tokens": 17420746.0, + "step": 7755 + }, + { + "entropy": 5.491825294494629, + "epoch": 8.38939967550027, + "grad_norm": 1.0625, + "learning_rate": 8.492516005591204e-05, + "loss": 4.618, + "mean_token_accuracy": 0.2515882387757301, + "num_tokens": 17431634.0, + "step": 7760 + }, + { + "entropy": 5.458147192001343, + "epoch": 8.394808004326663, + "grad_norm": 1.1171875, + "learning_rate": 8.469598316325971e-05, + "loss": 4.627, + "mean_token_accuracy": 0.2455772191286087, + "num_tokens": 17442069.0, + "step": 7765 + }, + { + "entropy": 5.534485006332398, + "epoch": 8.400216333153056, + "grad_norm": 1.140625, + "learning_rate": 8.446749783584432e-05, + "loss": 4.7496, + "mean_token_accuracy": 0.23464579731225968, + "num_tokens": 17451921.0, + "step": 7770 + }, + { + "entropy": 5.427454423904419, + "epoch": 8.405624661979449, + "grad_norm": 1.03125, + "learning_rate": 8.423970490398206e-05, + "loss": 4.6487, + "mean_token_accuracy": 0.24904445707798004, + "num_tokens": 17463804.0, + "step": 7775 + }, + { + "entropy": 5.434597206115723, + "epoch": 8.411032990805841, + "grad_norm": 1.0859375, + "learning_rate": 8.401260519547305e-05, + "loss": 4.6277, + "mean_token_accuracy": 0.25252015292644503, + "num_tokens": 17474682.0, + "step": 7780 + }, + { + "entropy": 5.393816661834717, + "epoch": 8.416441319632234, + "grad_norm": 1.1171875, + "learning_rate": 8.378619953559807e-05, + "loss": 4.6437, + "mean_token_accuracy": 0.24663667976856232, + "num_tokens": 17486272.0, + "step": 7785 + }, + { + "entropy": 5.512399053573608, + "epoch": 8.421849648458625, + "grad_norm": 1.0234375, + "learning_rate": 8.356048874711589e-05, + "loss": 4.7778, + "mean_token_accuracy": 0.23102400749921798, + "num_tokens": 17498422.0, + "step": 7790 + }, + { + "entropy": 5.477883625030517, + "epoch": 8.427257977285018, + "grad_norm": 1.0859375, + "learning_rate": 8.333547365026e-05, + "loss": 4.6951, + "mean_token_accuracy": 0.23685057312250138, + "num_tokens": 17509923.0, + "step": 7795 + }, + { + "entropy": 5.437692546844483, + "epoch": 8.432666306111411, + "grad_norm": 1.046875, + "learning_rate": 8.311115506273579e-05, + "loss": 4.6192, + "mean_token_accuracy": 0.2497318670153618, + "num_tokens": 17520962.0, + "step": 7800 + }, + { + "entropy": 5.402871131896973, + "epoch": 8.438074634937804, + "grad_norm": 1.09375, + "learning_rate": 8.288753379971756e-05, + "loss": 4.6266, + "mean_token_accuracy": 0.24970309883356095, + "num_tokens": 17532336.0, + "step": 7805 + }, + { + "entropy": 5.457163095474243, + "epoch": 8.443482963764197, + "grad_norm": 1.2109375, + "learning_rate": 8.26646106738454e-05, + "loss": 4.6119, + "mean_token_accuracy": 0.25259271264076233, + "num_tokens": 17541684.0, + "step": 7810 + }, + { + "entropy": 5.452897691726685, + "epoch": 8.44889129259059, + "grad_norm": 1.21875, + "learning_rate": 8.244238649522249e-05, + "loss": 4.5603, + "mean_token_accuracy": 0.25624964386224747, + "num_tokens": 17551788.0, + "step": 7815 + }, + { + "entropy": 5.434674072265625, + "epoch": 8.454299621416983, + "grad_norm": 1.09375, + "learning_rate": 8.222086207141214e-05, + "loss": 4.7034, + "mean_token_accuracy": 0.24153718799352647, + "num_tokens": 17563292.0, + "step": 7820 + }, + { + "entropy": 5.4834681987762455, + "epoch": 8.459707950243375, + "grad_norm": 1.09375, + "learning_rate": 8.200003820743449e-05, + "loss": 4.6607, + "mean_token_accuracy": 0.25238813906908036, + "num_tokens": 17574305.0, + "step": 7825 + }, + { + "entropy": 5.453549385070801, + "epoch": 8.465116279069768, + "grad_norm": 1.2109375, + "learning_rate": 8.177991570576396e-05, + "loss": 4.6202, + "mean_token_accuracy": 0.24570186734199523, + "num_tokens": 17584448.0, + "step": 7830 + }, + { + "entropy": 5.4401407718658445, + "epoch": 8.47052460789616, + "grad_norm": 1.078125, + "learning_rate": 8.156049536632629e-05, + "loss": 4.6348, + "mean_token_accuracy": 0.25061688870191573, + "num_tokens": 17595877.0, + "step": 7835 + }, + { + "entropy": 5.437603902816773, + "epoch": 8.475932936722552, + "grad_norm": 1.125, + "learning_rate": 8.13417779864955e-05, + "loss": 4.655, + "mean_token_accuracy": 0.24989775121212005, + "num_tokens": 17608164.0, + "step": 7840 + }, + { + "entropy": 5.408649158477783, + "epoch": 8.481341265548945, + "grad_norm": 1.15625, + "learning_rate": 8.112376436109107e-05, + "loss": 4.6133, + "mean_token_accuracy": 0.24967734962701799, + "num_tokens": 17619098.0, + "step": 7845 + }, + { + "entropy": 5.387372636795044, + "epoch": 8.486749594375338, + "grad_norm": 1.1328125, + "learning_rate": 8.090645528237493e-05, + "loss": 4.6169, + "mean_token_accuracy": 0.24099100679159163, + "num_tokens": 17630032.0, + "step": 7850 + }, + { + "entropy": 5.445199394226075, + "epoch": 8.49215792320173, + "grad_norm": 1.0859375, + "learning_rate": 8.068985154004879e-05, + "loss": 4.6272, + "mean_token_accuracy": 0.2506523698568344, + "num_tokens": 17641127.0, + "step": 7855 + }, + { + "entropy": 5.47921142578125, + "epoch": 8.497566252028124, + "grad_norm": 1.125, + "learning_rate": 8.047395392125126e-05, + "loss": 4.6752, + "mean_token_accuracy": 0.2440624639391899, + "num_tokens": 17652944.0, + "step": 7860 + }, + { + "entropy": 5.394153451919555, + "epoch": 8.502974580854517, + "grad_norm": 1.140625, + "learning_rate": 8.02587632105547e-05, + "loss": 4.562, + "mean_token_accuracy": 0.24257596880197524, + "num_tokens": 17664345.0, + "step": 7865 + }, + { + "entropy": 5.485877227783203, + "epoch": 8.50838290968091, + "grad_norm": 1.03125, + "learning_rate": 8.004428018996264e-05, + "loss": 4.6301, + "mean_token_accuracy": 0.24969162791967392, + "num_tokens": 17674314.0, + "step": 7870 + }, + { + "entropy": 5.3833784580230715, + "epoch": 8.5137912385073, + "grad_norm": 1.2109375, + "learning_rate": 7.983050563890692e-05, + "loss": 4.6665, + "mean_token_accuracy": 0.2468141570687294, + "num_tokens": 17685338.0, + "step": 7875 + }, + { + "entropy": 5.4162355899810795, + "epoch": 8.519199567333693, + "grad_norm": 1.1328125, + "learning_rate": 7.961744033424473e-05, + "loss": 4.6645, + "mean_token_accuracy": 0.24835647493600846, + "num_tokens": 17695954.0, + "step": 7880 + }, + { + "entropy": 5.433167791366577, + "epoch": 8.524607896160086, + "grad_norm": 1.0703125, + "learning_rate": 7.940508505025586e-05, + "loss": 4.6433, + "mean_token_accuracy": 0.24660401791334152, + "num_tokens": 17706627.0, + "step": 7885 + }, + { + "entropy": 5.4570776462554935, + "epoch": 8.530016224986479, + "grad_norm": 1.1640625, + "learning_rate": 7.919344055863997e-05, + "loss": 4.6834, + "mean_token_accuracy": 0.250008362531662, + "num_tokens": 17716810.0, + "step": 7890 + }, + { + "entropy": 5.5049059867858885, + "epoch": 8.535424553812872, + "grad_norm": 1.046875, + "learning_rate": 7.89825076285135e-05, + "loss": 4.7199, + "mean_token_accuracy": 0.23966176211833953, + "num_tokens": 17727429.0, + "step": 7895 + }, + { + "entropy": 5.476928472518921, + "epoch": 8.540832882639265, + "grad_norm": 1.2265625, + "learning_rate": 7.877228702640739e-05, + "loss": 4.6414, + "mean_token_accuracy": 0.251692995429039, + "num_tokens": 17737198.0, + "step": 7900 + }, + { + "entropy": 5.452701568603516, + "epoch": 8.546241211465658, + "grad_norm": 1.1640625, + "learning_rate": 7.856277951626363e-05, + "loss": 4.6524, + "mean_token_accuracy": 0.24492272585630417, + "num_tokens": 17747288.0, + "step": 7905 + }, + { + "entropy": 5.419731569290161, + "epoch": 8.55164954029205, + "grad_norm": 1.0, + "learning_rate": 7.835398585943307e-05, + "loss": 4.732, + "mean_token_accuracy": 0.23216305673122406, + "num_tokens": 17759238.0, + "step": 7910 + }, + { + "entropy": 5.453393936157227, + "epoch": 8.557057869118442, + "grad_norm": 1.15625, + "learning_rate": 7.814590681467235e-05, + "loss": 4.6298, + "mean_token_accuracy": 0.25046600997447965, + "num_tokens": 17769306.0, + "step": 7915 + }, + { + "entropy": 5.433558702468872, + "epoch": 8.562466197944834, + "grad_norm": 1.046875, + "learning_rate": 7.793854313814114e-05, + "loss": 4.6433, + "mean_token_accuracy": 0.24308221340179442, + "num_tokens": 17780446.0, + "step": 7920 + }, + { + "entropy": 5.447643804550171, + "epoch": 8.567874526771227, + "grad_norm": 1.109375, + "learning_rate": 7.773189558339956e-05, + "loss": 4.6103, + "mean_token_accuracy": 0.2464235916733742, + "num_tokens": 17791217.0, + "step": 7925 + }, + { + "entropy": 5.39156494140625, + "epoch": 8.57328285559762, + "grad_norm": 1.0625, + "learning_rate": 7.752596490140537e-05, + "loss": 4.5492, + "mean_token_accuracy": 0.25537085682153704, + "num_tokens": 17802755.0, + "step": 7930 + }, + { + "entropy": 5.400811100006104, + "epoch": 8.578691184424013, + "grad_norm": 1.1484375, + "learning_rate": 7.732075184051098e-05, + "loss": 4.6145, + "mean_token_accuracy": 0.25341652184724806, + "num_tokens": 17814466.0, + "step": 7935 + }, + { + "entropy": 5.538357973098755, + "epoch": 8.584099513250406, + "grad_norm": 1.125, + "learning_rate": 7.711625714646127e-05, + "loss": 4.7818, + "mean_token_accuracy": 0.23865888118743897, + "num_tokens": 17826561.0, + "step": 7940 + }, + { + "entropy": 5.494115400314331, + "epoch": 8.589507842076799, + "grad_norm": 1.1796875, + "learning_rate": 7.691248156239041e-05, + "loss": 4.6958, + "mean_token_accuracy": 0.242883163690567, + "num_tokens": 17837219.0, + "step": 7945 + }, + { + "entropy": 5.448954963684082, + "epoch": 8.594916170903192, + "grad_norm": 1.1171875, + "learning_rate": 7.670942582881931e-05, + "loss": 4.633, + "mean_token_accuracy": 0.24463047534227372, + "num_tokens": 17848173.0, + "step": 7950 + }, + { + "entropy": 5.405515670776367, + "epoch": 8.600324499729584, + "grad_norm": 1.0234375, + "learning_rate": 7.650709068365295e-05, + "loss": 4.587, + "mean_token_accuracy": 0.25289051979780197, + "num_tokens": 17858073.0, + "step": 7955 + }, + { + "entropy": 5.493569231033325, + "epoch": 8.605732828555976, + "grad_norm": 0.94921875, + "learning_rate": 7.630547686217774e-05, + "loss": 4.7385, + "mean_token_accuracy": 0.2438815712928772, + "num_tokens": 17871842.0, + "step": 7960 + }, + { + "entropy": 5.384715127944946, + "epoch": 8.611141157382368, + "grad_norm": 1.1328125, + "learning_rate": 7.61045850970588e-05, + "loss": 4.6016, + "mean_token_accuracy": 0.25172372758388517, + "num_tokens": 17883217.0, + "step": 7965 + }, + { + "entropy": 5.440554094314575, + "epoch": 8.616549486208761, + "grad_norm": 1.0234375, + "learning_rate": 7.59044161183373e-05, + "loss": 4.6496, + "mean_token_accuracy": 0.24046091884374618, + "num_tokens": 17895606.0, + "step": 7970 + }, + { + "entropy": 5.4395688533782955, + "epoch": 8.621957815035154, + "grad_norm": 1.078125, + "learning_rate": 7.570497065342762e-05, + "loss": 4.6126, + "mean_token_accuracy": 0.24324086010456086, + "num_tokens": 17906444.0, + "step": 7975 + }, + { + "entropy": 5.481838798522949, + "epoch": 8.627366143861547, + "grad_norm": 1.1015625, + "learning_rate": 7.550624942711517e-05, + "loss": 4.6844, + "mean_token_accuracy": 0.2452366203069687, + "num_tokens": 17917019.0, + "step": 7980 + }, + { + "entropy": 5.398834466934204, + "epoch": 8.63277447268794, + "grad_norm": 1.109375, + "learning_rate": 7.530825316155337e-05, + "loss": 4.5774, + "mean_token_accuracy": 0.25428382158279417, + "num_tokens": 17927930.0, + "step": 7985 + }, + { + "entropy": 5.45563907623291, + "epoch": 8.638182801514333, + "grad_norm": 1.2265625, + "learning_rate": 7.511098257626101e-05, + "loss": 4.6169, + "mean_token_accuracy": 0.24270703941583632, + "num_tokens": 17938820.0, + "step": 7990 + }, + { + "entropy": 5.479223585128784, + "epoch": 8.643591130340724, + "grad_norm": 1.1875, + "learning_rate": 7.491443838811991e-05, + "loss": 4.6911, + "mean_token_accuracy": 0.24639520347118377, + "num_tokens": 17949334.0, + "step": 7995 + }, + { + "entropy": 5.448716497421264, + "epoch": 8.648999459167117, + "grad_norm": 1.1015625, + "learning_rate": 7.47186213113721e-05, + "loss": 4.641, + "mean_token_accuracy": 0.25038540065288545, + "num_tokens": 17961454.0, + "step": 8000 + }, + { + "epoch": 8.648999459167117, + "eval_entropy": 5.362871633876454, + "eval_loss": 5.8378705978393555, + "eval_mean_token_accuracy": 0.1841868094761263, + "eval_num_tokens": 17961454.0, + "eval_runtime": 5.2454, + "eval_samples_per_second": 670.115, + "eval_steps_per_second": 83.884, + "step": 8000 + }, + { + "entropy": 5.4176562309265135, + "epoch": 8.65440778799351, + "grad_norm": 1.1875, + "learning_rate": 7.452353205761725e-05, + "loss": 4.6463, + "mean_token_accuracy": 0.24769691824913026, + "num_tokens": 17972430.0, + "step": 8005 + }, + { + "entropy": 5.4539412498474125, + "epoch": 8.659816116819902, + "grad_norm": 1.1015625, + "learning_rate": 7.432917133581019e-05, + "loss": 4.6646, + "mean_token_accuracy": 0.24635607451200486, + "num_tokens": 17983849.0, + "step": 8010 + }, + { + "entropy": 5.534650993347168, + "epoch": 8.665224445646295, + "grad_norm": 1.1796875, + "learning_rate": 7.413553985225824e-05, + "loss": 4.7258, + "mean_token_accuracy": 0.24364759922027587, + "num_tokens": 17994791.0, + "step": 8015 + }, + { + "entropy": 5.4380405902862545, + "epoch": 8.670632774472688, + "grad_norm": 1.1328125, + "learning_rate": 7.394263831061865e-05, + "loss": 4.5737, + "mean_token_accuracy": 0.261161758005619, + "num_tokens": 18005068.0, + "step": 8020 + }, + { + "entropy": 5.500995683670044, + "epoch": 8.676041103299081, + "grad_norm": 1.15625, + "learning_rate": 7.375046741189611e-05, + "loss": 4.7326, + "mean_token_accuracy": 0.2271594524383545, + "num_tokens": 18016610.0, + "step": 8025 + }, + { + "entropy": 5.442659044265747, + "epoch": 8.681449432125474, + "grad_norm": 1.1015625, + "learning_rate": 7.355902785444002e-05, + "loss": 4.6495, + "mean_token_accuracy": 0.24712285101413728, + "num_tokens": 18028854.0, + "step": 8030 + }, + { + "entropy": 5.454330205917358, + "epoch": 8.686857760951867, + "grad_norm": 1.0546875, + "learning_rate": 7.336832033394217e-05, + "loss": 4.6979, + "mean_token_accuracy": 0.24184783399105073, + "num_tokens": 18039766.0, + "step": 8035 + }, + { + "entropy": 5.488766717910766, + "epoch": 8.692266089778258, + "grad_norm": 1.15625, + "learning_rate": 7.317834554343429e-05, + "loss": 4.6348, + "mean_token_accuracy": 0.24834075421094895, + "num_tokens": 18049358.0, + "step": 8040 + }, + { + "entropy": 5.4261702537536625, + "epoch": 8.69767441860465, + "grad_norm": 1.0859375, + "learning_rate": 7.298910417328503e-05, + "loss": 4.6159, + "mean_token_accuracy": 0.2481824889779091, + "num_tokens": 18060274.0, + "step": 8045 + }, + { + "entropy": 5.394179582595825, + "epoch": 8.703082747431043, + "grad_norm": 1.125, + "learning_rate": 7.280059691119806e-05, + "loss": 4.5933, + "mean_token_accuracy": 0.24686106890439988, + "num_tokens": 18070688.0, + "step": 8050 + }, + { + "entropy": 5.46193299293518, + "epoch": 8.708491076257436, + "grad_norm": 1.171875, + "learning_rate": 7.261282444220917e-05, + "loss": 4.6791, + "mean_token_accuracy": 0.24510317593812941, + "num_tokens": 18081739.0, + "step": 8055 + }, + { + "entropy": 5.488187074661255, + "epoch": 8.71389940508383, + "grad_norm": 1.0546875, + "learning_rate": 7.242578744868395e-05, + "loss": 4.7453, + "mean_token_accuracy": 0.23407671898603438, + "num_tokens": 18092978.0, + "step": 8060 + }, + { + "entropy": 5.4217125415802006, + "epoch": 8.719307733910222, + "grad_norm": 1.0, + "learning_rate": 7.223948661031534e-05, + "loss": 4.6872, + "mean_token_accuracy": 0.2450122743844986, + "num_tokens": 18104649.0, + "step": 8065 + }, + { + "entropy": 5.453090620040894, + "epoch": 8.724716062736615, + "grad_norm": 1.0703125, + "learning_rate": 7.205392260412088e-05, + "loss": 4.6549, + "mean_token_accuracy": 0.24633828997612, + "num_tokens": 18115640.0, + "step": 8070 + }, + { + "entropy": 5.379146337509155, + "epoch": 8.730124391563008, + "grad_norm": 1.0703125, + "learning_rate": 7.186909610444065e-05, + "loss": 4.6424, + "mean_token_accuracy": 0.24719825387001038, + "num_tokens": 18126599.0, + "step": 8075 + }, + { + "entropy": 5.4903511047363285, + "epoch": 8.735532720389399, + "grad_norm": 1.078125, + "learning_rate": 7.168500778293466e-05, + "loss": 4.7223, + "mean_token_accuracy": 0.24441612362861634, + "num_tokens": 18137961.0, + "step": 8080 + }, + { + "entropy": 5.5881280422210695, + "epoch": 8.740941049215792, + "grad_norm": 1.0390625, + "learning_rate": 7.15016583085802e-05, + "loss": 4.7907, + "mean_token_accuracy": 0.23955046236515046, + "num_tokens": 18150167.0, + "step": 8085 + }, + { + "entropy": 5.559327507019043, + "epoch": 8.746349378042185, + "grad_norm": 1.1484375, + "learning_rate": 7.131904834766973e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.24419869780540465, + "num_tokens": 18162320.0, + "step": 8090 + }, + { + "entropy": 5.431235456466675, + "epoch": 8.751757706868577, + "grad_norm": 1.046875, + "learning_rate": 7.113717856380824e-05, + "loss": 4.633, + "mean_token_accuracy": 0.24960453659296036, + "num_tokens": 18174213.0, + "step": 8095 + }, + { + "entropy": 5.465347719192505, + "epoch": 8.75716603569497, + "grad_norm": 1.1796875, + "learning_rate": 7.095604961791095e-05, + "loss": 4.6465, + "mean_token_accuracy": 0.24582342952489852, + "num_tokens": 18184071.0, + "step": 8100 + }, + { + "entropy": 5.578960657119751, + "epoch": 8.762574364521363, + "grad_norm": 1.0, + "learning_rate": 7.077566216820089e-05, + "loss": 4.8045, + "mean_token_accuracy": 0.23988767862319946, + "num_tokens": 18197479.0, + "step": 8105 + }, + { + "entropy": 5.484675788879395, + "epoch": 8.767982693347756, + "grad_norm": 0.92578125, + "learning_rate": 7.059601687020647e-05, + "loss": 4.7403, + "mean_token_accuracy": 0.23554161190986633, + "num_tokens": 18209824.0, + "step": 8110 + }, + { + "entropy": 5.458296060562134, + "epoch": 8.773391022174149, + "grad_norm": 1.046875, + "learning_rate": 7.041711437675908e-05, + "loss": 4.663, + "mean_token_accuracy": 0.25326707512140273, + "num_tokens": 18221788.0, + "step": 8115 + }, + { + "entropy": 5.434906148910523, + "epoch": 8.77879935100054, + "grad_norm": 1.0703125, + "learning_rate": 7.023895533799087e-05, + "loss": 4.6358, + "mean_token_accuracy": 0.2397712364792824, + "num_tokens": 18233755.0, + "step": 8120 + }, + { + "entropy": 5.5003461837768555, + "epoch": 8.784207679826933, + "grad_norm": 1.1484375, + "learning_rate": 7.006154040133211e-05, + "loss": 4.7408, + "mean_token_accuracy": 0.2383201912045479, + "num_tokens": 18244591.0, + "step": 8125 + }, + { + "entropy": 5.487597846984864, + "epoch": 8.789616008653326, + "grad_norm": 1.1015625, + "learning_rate": 6.98848702115091e-05, + "loss": 4.6065, + "mean_token_accuracy": 0.24469293653964996, + "num_tokens": 18255928.0, + "step": 8130 + }, + { + "entropy": 5.466150331497192, + "epoch": 8.795024337479719, + "grad_norm": 1.125, + "learning_rate": 6.970894541054182e-05, + "loss": 4.6594, + "mean_token_accuracy": 0.2506978988647461, + "num_tokens": 18267288.0, + "step": 8135 + }, + { + "entropy": 5.474290609359741, + "epoch": 8.800432666306111, + "grad_norm": 1.0, + "learning_rate": 6.953376663774129e-05, + "loss": 4.7452, + "mean_token_accuracy": 0.24161359369754792, + "num_tokens": 18279045.0, + "step": 8140 + }, + { + "entropy": 5.455084800720215, + "epoch": 8.805840995132504, + "grad_norm": 1.09375, + "learning_rate": 6.935933452970762e-05, + "loss": 4.7037, + "mean_token_accuracy": 0.24813375771045684, + "num_tokens": 18291378.0, + "step": 8145 + }, + { + "entropy": 5.436138439178467, + "epoch": 8.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 6.918564972032745e-05, + "loss": 4.6137, + "mean_token_accuracy": 0.2471534177660942, + "num_tokens": 18303089.0, + "step": 8150 + }, + { + "entropy": 5.48180832862854, + "epoch": 8.81665765278529, + "grad_norm": 1.140625, + "learning_rate": 6.901271284077188e-05, + "loss": 4.67, + "mean_token_accuracy": 0.24351342618465424, + "num_tokens": 18313656.0, + "step": 8155 + }, + { + "entropy": 5.432670640945434, + "epoch": 8.822065981611683, + "grad_norm": 1.1796875, + "learning_rate": 6.884052451949382e-05, + "loss": 4.6431, + "mean_token_accuracy": 0.24915305525064468, + "num_tokens": 18324176.0, + "step": 8160 + }, + { + "entropy": 5.4484114170074465, + "epoch": 8.827474310438074, + "grad_norm": 1.140625, + "learning_rate": 6.866908538222611e-05, + "loss": 4.7349, + "mean_token_accuracy": 0.24104510098695756, + "num_tokens": 18336704.0, + "step": 8165 + }, + { + "entropy": 5.481381034851074, + "epoch": 8.832882639264467, + "grad_norm": 1.1484375, + "learning_rate": 6.84983960519789e-05, + "loss": 4.6698, + "mean_token_accuracy": 0.24722180962562562, + "num_tokens": 18346992.0, + "step": 8170 + }, + { + "entropy": 5.430476999282837, + "epoch": 8.83829096809086, + "grad_norm": 1.0078125, + "learning_rate": 6.83284571490377e-05, + "loss": 4.607, + "mean_token_accuracy": 0.25048110336065293, + "num_tokens": 18358244.0, + "step": 8175 + }, + { + "entropy": 5.436368036270141, + "epoch": 8.843699296917253, + "grad_norm": 1.0390625, + "learning_rate": 6.815926929096077e-05, + "loss": 4.6756, + "mean_token_accuracy": 0.24781714379787445, + "num_tokens": 18368951.0, + "step": 8180 + }, + { + "entropy": 5.454361772537231, + "epoch": 8.849107625743645, + "grad_norm": 1.171875, + "learning_rate": 6.799083309257726e-05, + "loss": 4.6718, + "mean_token_accuracy": 0.24081313908100127, + "num_tokens": 18379927.0, + "step": 8185 + }, + { + "entropy": 5.386984252929688, + "epoch": 8.854515954570038, + "grad_norm": 1.15625, + "learning_rate": 6.782314916598465e-05, + "loss": 4.5864, + "mean_token_accuracy": 0.2512750491499901, + "num_tokens": 18390396.0, + "step": 8190 + }, + { + "entropy": 5.433802747726441, + "epoch": 8.859924283396431, + "grad_norm": 1.1875, + "learning_rate": 6.765621812054675e-05, + "loss": 4.6534, + "mean_token_accuracy": 0.2511002615094185, + "num_tokens": 18401640.0, + "step": 8195 + }, + { + "entropy": 5.464025688171387, + "epoch": 8.865332612222822, + "grad_norm": 1.1171875, + "learning_rate": 6.749004056289132e-05, + "loss": 4.7053, + "mean_token_accuracy": 0.24140200912952423, + "num_tokens": 18413032.0, + "step": 8200 + }, + { + "entropy": 5.492389583587647, + "epoch": 8.870740941049215, + "grad_norm": 1.1640625, + "learning_rate": 6.732461709690811e-05, + "loss": 4.7231, + "mean_token_accuracy": 0.24018226712942123, + "num_tokens": 18424249.0, + "step": 8205 + }, + { + "entropy": 5.460456418991089, + "epoch": 8.876149269875608, + "grad_norm": 1.2265625, + "learning_rate": 6.715994832374619e-05, + "loss": 4.6917, + "mean_token_accuracy": 0.2387579098343849, + "num_tokens": 18435532.0, + "step": 8210 + }, + { + "entropy": 5.455314588546753, + "epoch": 8.881557598702, + "grad_norm": 1.0078125, + "learning_rate": 6.699603484181245e-05, + "loss": 4.6735, + "mean_token_accuracy": 0.2517687350511551, + "num_tokens": 18447433.0, + "step": 8215 + }, + { + "entropy": 5.5274101257324215, + "epoch": 8.886965927528394, + "grad_norm": 0.97265625, + "learning_rate": 6.683287724676874e-05, + "loss": 4.7168, + "mean_token_accuracy": 0.2312949389219284, + "num_tokens": 18459348.0, + "step": 8220 + }, + { + "entropy": 5.448721933364868, + "epoch": 8.892374256354787, + "grad_norm": 1.328125, + "learning_rate": 6.667047613153018e-05, + "loss": 4.6334, + "mean_token_accuracy": 0.2500571310520172, + "num_tokens": 18469626.0, + "step": 8225 + }, + { + "entropy": 5.39347653388977, + "epoch": 8.89778258518118, + "grad_norm": 1.078125, + "learning_rate": 6.650883208626275e-05, + "loss": 4.6194, + "mean_token_accuracy": 0.24883653670549394, + "num_tokens": 18480280.0, + "step": 8230 + }, + { + "entropy": 5.480832719802857, + "epoch": 8.903190914007572, + "grad_norm": 1.1796875, + "learning_rate": 6.634794569838136e-05, + "loss": 4.7166, + "mean_token_accuracy": 0.24320875704288483, + "num_tokens": 18491169.0, + "step": 8235 + }, + { + "entropy": 5.437039518356324, + "epoch": 8.908599242833965, + "grad_norm": 1.09375, + "learning_rate": 6.618781755254749e-05, + "loss": 4.6714, + "mean_token_accuracy": 0.24556371122598647, + "num_tokens": 18502987.0, + "step": 8240 + }, + { + "entropy": 5.410912132263183, + "epoch": 8.914007571660356, + "grad_norm": 1.0859375, + "learning_rate": 6.60284482306672e-05, + "loss": 4.6237, + "mean_token_accuracy": 0.2487622007727623, + "num_tokens": 18514111.0, + "step": 8245 + }, + { + "entropy": 5.476244735717773, + "epoch": 8.919415900486749, + "grad_norm": 1.1796875, + "learning_rate": 6.586983831188888e-05, + "loss": 4.6614, + "mean_token_accuracy": 0.2371463283896446, + "num_tokens": 18524802.0, + "step": 8250 + }, + { + "entropy": 5.386268568038941, + "epoch": 8.924824229313142, + "grad_norm": 1.15625, + "learning_rate": 6.571198837260148e-05, + "loss": 4.549, + "mean_token_accuracy": 0.25499766021966935, + "num_tokens": 18535033.0, + "step": 8255 + }, + { + "entropy": 5.4325535774230955, + "epoch": 8.930232558139535, + "grad_norm": 1.203125, + "learning_rate": 6.555489898643201e-05, + "loss": 4.6105, + "mean_token_accuracy": 0.24099647700786592, + "num_tokens": 18545992.0, + "step": 8260 + }, + { + "entropy": 5.510333728790283, + "epoch": 8.935640886965928, + "grad_norm": 1.1953125, + "learning_rate": 6.539857072424357e-05, + "loss": 4.6754, + "mean_token_accuracy": 0.2422497093677521, + "num_tokens": 18557034.0, + "step": 8265 + }, + { + "entropy": 5.466076946258545, + "epoch": 8.94104921579232, + "grad_norm": 1.1640625, + "learning_rate": 6.524300415413354e-05, + "loss": 4.7352, + "mean_token_accuracy": 0.23501991331577302, + "num_tokens": 18569772.0, + "step": 8270 + }, + { + "entropy": 5.423339176177978, + "epoch": 8.946457544618713, + "grad_norm": 1.0859375, + "learning_rate": 6.508819984143111e-05, + "loss": 4.5963, + "mean_token_accuracy": 0.24731227159500122, + "num_tokens": 18581366.0, + "step": 8275 + }, + { + "entropy": 5.394436693191528, + "epoch": 8.951865873445106, + "grad_norm": 1.1015625, + "learning_rate": 6.493415834869555e-05, + "loss": 4.6067, + "mean_token_accuracy": 0.24292584061622619, + "num_tokens": 18592538.0, + "step": 8280 + }, + { + "entropy": 5.463893890380859, + "epoch": 8.957274202271497, + "grad_norm": 1.15625, + "learning_rate": 6.478088023571403e-05, + "loss": 4.7642, + "mean_token_accuracy": 0.23628028929233552, + "num_tokens": 18604060.0, + "step": 8285 + }, + { + "entropy": 5.499932765960693, + "epoch": 8.96268253109789, + "grad_norm": 1.125, + "learning_rate": 6.462836605949945e-05, + "loss": 4.7014, + "mean_token_accuracy": 0.24229229241609573, + "num_tokens": 18614038.0, + "step": 8290 + }, + { + "entropy": 5.5177754878997805, + "epoch": 8.968090859924283, + "grad_norm": 1.203125, + "learning_rate": 6.447661637428882e-05, + "loss": 4.7011, + "mean_token_accuracy": 0.24340022057294847, + "num_tokens": 18624428.0, + "step": 8295 + }, + { + "entropy": 5.458679246902466, + "epoch": 8.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 6.432563173154082e-05, + "loss": 4.697, + "mean_token_accuracy": 0.24110541641712188, + "num_tokens": 18636738.0, + "step": 8300 + }, + { + "entropy": 5.461600303649902, + "epoch": 8.978907517577069, + "grad_norm": 1.0859375, + "learning_rate": 6.417541267993391e-05, + "loss": 4.6537, + "mean_token_accuracy": 0.23878912776708602, + "num_tokens": 18648318.0, + "step": 8305 + }, + { + "entropy": 5.47225866317749, + "epoch": 8.984315846403462, + "grad_norm": 1.1328125, + "learning_rate": 6.402595976536451e-05, + "loss": 4.66, + "mean_token_accuracy": 0.24574798047542573, + "num_tokens": 18659616.0, + "step": 8310 + }, + { + "entropy": 5.468072366714478, + "epoch": 8.989724175229854, + "grad_norm": 1.078125, + "learning_rate": 6.387727353094492e-05, + "loss": 4.7155, + "mean_token_accuracy": 0.23670175224542617, + "num_tokens": 18671787.0, + "step": 8315 + }, + { + "entropy": 5.5368040084838865, + "epoch": 8.995132504056247, + "grad_norm": 1.140625, + "learning_rate": 6.372935451700119e-05, + "loss": 4.7209, + "mean_token_accuracy": 0.24138835370540618, + "num_tokens": 18683668.0, + "step": 8320 + }, + { + "entropy": 5.46496221754286, + "epoch": 9.0, + "grad_norm": 2.4375, + "learning_rate": 6.358220326107135e-05, + "loss": 4.7393, + "mean_token_accuracy": 0.24235479533672333, + "num_tokens": 18692001.0, + "step": 8325 + }, + { + "entropy": 5.471250581741333, + "epoch": 9.005408328826393, + "grad_norm": 1.2109375, + "learning_rate": 6.343582029790345e-05, + "loss": 4.5749, + "mean_token_accuracy": 0.2578806057572365, + "num_tokens": 18703498.0, + "step": 8330 + }, + { + "entropy": 5.495151615142822, + "epoch": 9.010816657652786, + "grad_norm": 1.09375, + "learning_rate": 6.32902061594535e-05, + "loss": 4.6751, + "mean_token_accuracy": 0.24880463033914565, + "num_tokens": 18714493.0, + "step": 8335 + }, + { + "entropy": 5.486913824081421, + "epoch": 9.016224986479179, + "grad_norm": 0.9296875, + "learning_rate": 6.314536137488364e-05, + "loss": 4.6983, + "mean_token_accuracy": 0.2343290165066719, + "num_tokens": 18727116.0, + "step": 8340 + }, + { + "entropy": 5.4067400932312015, + "epoch": 9.021633315305571, + "grad_norm": 1.0, + "learning_rate": 6.300128647056007e-05, + "loss": 4.5645, + "mean_token_accuracy": 0.2559074819087982, + "num_tokens": 18738043.0, + "step": 8345 + }, + { + "entropy": 5.426862001419067, + "epoch": 9.027041644131963, + "grad_norm": 1.1484375, + "learning_rate": 6.285798197005136e-05, + "loss": 4.6368, + "mean_token_accuracy": 0.247240249812603, + "num_tokens": 18749744.0, + "step": 8350 + }, + { + "entropy": 5.484080648422241, + "epoch": 9.032449972958355, + "grad_norm": 1.25, + "learning_rate": 6.271544839412647e-05, + "loss": 4.6962, + "mean_token_accuracy": 0.2405407428741455, + "num_tokens": 18760644.0, + "step": 8355 + }, + { + "entropy": 5.418655300140381, + "epoch": 9.037858301784748, + "grad_norm": 1.03125, + "learning_rate": 6.257368626075266e-05, + "loss": 4.5887, + "mean_token_accuracy": 0.25017319768667223, + "num_tokens": 18771554.0, + "step": 8360 + }, + { + "entropy": 5.447339773178101, + "epoch": 9.043266630611141, + "grad_norm": 1.1171875, + "learning_rate": 6.243269608509388e-05, + "loss": 4.6227, + "mean_token_accuracy": 0.24144126176834108, + "num_tokens": 18782652.0, + "step": 8365 + }, + { + "entropy": 5.463773965835571, + "epoch": 9.048674959437534, + "grad_norm": 1.1171875, + "learning_rate": 6.229247837950878e-05, + "loss": 4.6204, + "mean_token_accuracy": 0.24873368740081786, + "num_tokens": 18795266.0, + "step": 8370 + }, + { + "entropy": 5.433094310760498, + "epoch": 9.054083288263927, + "grad_norm": 1.1171875, + "learning_rate": 6.215303365354875e-05, + "loss": 4.6775, + "mean_token_accuracy": 0.24355793595314026, + "num_tokens": 18806572.0, + "step": 8375 + }, + { + "entropy": 5.41509051322937, + "epoch": 9.05949161709032, + "grad_norm": 1.171875, + "learning_rate": 6.201436241395634e-05, + "loss": 4.6564, + "mean_token_accuracy": 0.2417655661702156, + "num_tokens": 18818036.0, + "step": 8380 + }, + { + "entropy": 5.433154106140137, + "epoch": 9.064899945916713, + "grad_norm": 1.078125, + "learning_rate": 6.187646516466311e-05, + "loss": 4.6468, + "mean_token_accuracy": 0.24639349281787873, + "num_tokens": 18828245.0, + "step": 8385 + }, + { + "entropy": 5.409167528152466, + "epoch": 9.070308274743104, + "grad_norm": 1.0078125, + "learning_rate": 6.173934240678794e-05, + "loss": 4.616, + "mean_token_accuracy": 0.25028411000967027, + "num_tokens": 18839538.0, + "step": 8390 + }, + { + "entropy": 5.422529840469361, + "epoch": 9.075716603569496, + "grad_norm": 1.0859375, + "learning_rate": 6.160299463863535e-05, + "loss": 4.5289, + "mean_token_accuracy": 0.25803924947977064, + "num_tokens": 18850294.0, + "step": 8395 + }, + { + "entropy": 5.404397106170654, + "epoch": 9.08112493239589, + "grad_norm": 1.03125, + "learning_rate": 6.146742235569336e-05, + "loss": 4.6043, + "mean_token_accuracy": 0.24872332215309143, + "num_tokens": 18861394.0, + "step": 8400 + }, + { + "entropy": 5.508815145492553, + "epoch": 9.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 6.133262605063199e-05, + "loss": 4.6657, + "mean_token_accuracy": 0.25025164186954496, + "num_tokens": 18873436.0, + "step": 8405 + }, + { + "entropy": 5.423185586929321, + "epoch": 9.091941590048675, + "grad_norm": 1.078125, + "learning_rate": 6.119860621330131e-05, + "loss": 4.5606, + "mean_token_accuracy": 0.24882591515779495, + "num_tokens": 18884174.0, + "step": 8410 + }, + { + "entropy": 5.4953888893127445, + "epoch": 9.097349918875068, + "grad_norm": 1.0078125, + "learning_rate": 6.106536333072973e-05, + "loss": 4.6722, + "mean_token_accuracy": 0.25227693617343905, + "num_tokens": 18895524.0, + "step": 8415 + }, + { + "entropy": 5.379502391815185, + "epoch": 9.10275824770146, + "grad_norm": 1.1484375, + "learning_rate": 6.093289788712218e-05, + "loss": 4.5641, + "mean_token_accuracy": 0.24757325202226638, + "num_tokens": 18906412.0, + "step": 8420 + }, + { + "entropy": 5.449669456481933, + "epoch": 9.108166576527854, + "grad_norm": 1.0859375, + "learning_rate": 6.080121036385845e-05, + "loss": 4.6618, + "mean_token_accuracy": 0.24436687231063842, + "num_tokens": 18917557.0, + "step": 8425 + }, + { + "entropy": 5.548173522949218, + "epoch": 9.113574905354245, + "grad_norm": 1.1796875, + "learning_rate": 6.067030123949119e-05, + "loss": 4.7474, + "mean_token_accuracy": 0.23804895877838134, + "num_tokens": 18928749.0, + "step": 8430 + }, + { + "entropy": 5.457028818130493, + "epoch": 9.118983234180638, + "grad_norm": 1.1953125, + "learning_rate": 6.0540170989744566e-05, + "loss": 4.6692, + "mean_token_accuracy": 0.24220452159643174, + "num_tokens": 18938854.0, + "step": 8435 + }, + { + "entropy": 5.459903860092163, + "epoch": 9.12439156300703, + "grad_norm": 1.03125, + "learning_rate": 6.041082008751215e-05, + "loss": 4.6467, + "mean_token_accuracy": 0.2502425223588943, + "num_tokens": 18949915.0, + "step": 8440 + }, + { + "entropy": 5.524671030044556, + "epoch": 9.129799891833423, + "grad_norm": 1.1328125, + "learning_rate": 6.028224900285545e-05, + "loss": 4.7169, + "mean_token_accuracy": 0.2474487155675888, + "num_tokens": 18961828.0, + "step": 8445 + }, + { + "entropy": 5.4591539859771725, + "epoch": 9.135208220659816, + "grad_norm": 1.046875, + "learning_rate": 6.015445820300207e-05, + "loss": 4.6994, + "mean_token_accuracy": 0.24288366883993148, + "num_tokens": 18974719.0, + "step": 8450 + }, + { + "entropy": 5.440279102325439, + "epoch": 9.140616549486209, + "grad_norm": 1.0625, + "learning_rate": 6.002744815234405e-05, + "loss": 4.6052, + "mean_token_accuracy": 0.25446860641241076, + "num_tokens": 18985540.0, + "step": 8455 + }, + { + "entropy": 5.376692056655884, + "epoch": 9.146024878312602, + "grad_norm": 1.0625, + "learning_rate": 5.990121931243623e-05, + "loss": 4.523, + "mean_token_accuracy": 0.25452662706375123, + "num_tokens": 18997235.0, + "step": 8460 + }, + { + "entropy": 5.412912178039551, + "epoch": 9.151433207138995, + "grad_norm": 1.125, + "learning_rate": 5.977577214199456e-05, + "loss": 4.5439, + "mean_token_accuracy": 0.25683856159448626, + "num_tokens": 19008375.0, + "step": 8465 + }, + { + "entropy": 5.3950666904449465, + "epoch": 9.156841535965386, + "grad_norm": 1.0078125, + "learning_rate": 5.9651107096894214e-05, + "loss": 4.6096, + "mean_token_accuracy": 0.24521999061107635, + "num_tokens": 19019780.0, + "step": 8470 + }, + { + "entropy": 5.463967037200928, + "epoch": 9.162249864791779, + "grad_norm": 1.0859375, + "learning_rate": 5.952722463016836e-05, + "loss": 4.7117, + "mean_token_accuracy": 0.238210092484951, + "num_tokens": 19032124.0, + "step": 8475 + }, + { + "entropy": 5.450633907318116, + "epoch": 9.167658193618172, + "grad_norm": 1.203125, + "learning_rate": 5.940412519200617e-05, + "loss": 4.6675, + "mean_token_accuracy": 0.24538640230894088, + "num_tokens": 19042694.0, + "step": 8480 + }, + { + "entropy": 5.447213935852051, + "epoch": 9.173066522444564, + "grad_norm": 1.0703125, + "learning_rate": 5.928180922975124e-05, + "loss": 4.6825, + "mean_token_accuracy": 0.24806885421276093, + "num_tokens": 19054342.0, + "step": 8485 + }, + { + "entropy": 5.440927219390869, + "epoch": 9.178474851270957, + "grad_norm": 1.1171875, + "learning_rate": 5.916027718790007e-05, + "loss": 4.6251, + "mean_token_accuracy": 0.2514836072921753, + "num_tokens": 19064770.0, + "step": 8490 + }, + { + "entropy": 5.402642679214478, + "epoch": 9.18388318009735, + "grad_norm": 1.0703125, + "learning_rate": 5.903952950810038e-05, + "loss": 4.595, + "mean_token_accuracy": 0.2534944236278534, + "num_tokens": 19076038.0, + "step": 8495 + }, + { + "entropy": 5.4304827690124515, + "epoch": 9.189291508923743, + "grad_norm": 1.1171875, + "learning_rate": 5.8919566629149535e-05, + "loss": 4.6499, + "mean_token_accuracy": 0.2401322290301323, + "num_tokens": 19088024.0, + "step": 8500 + }, + { + "epoch": 9.189291508923743, + "eval_entropy": 5.355288397182118, + "eval_loss": 5.8384575843811035, + "eval_mean_token_accuracy": 0.18395211405374787, + "eval_num_tokens": 19088024.0, + "eval_runtime": 5.1009, + "eval_samples_per_second": 689.099, + "eval_steps_per_second": 86.26, + "step": 8500 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 4425198243102720.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-8500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 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 @@ +{ + "": 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..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/checkpoint-9000/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 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..80f4ccd --- /dev/null +++ b/checkpoint-9000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:46b1091d81607b8a0139688ea58acbdfbc8adb4b1af8d8c98454868d2d35a0ee +size 78179408 diff --git a/checkpoint-9000/rng_state.pth b/checkpoint-9000/rng_state.pth new file mode 100644 index 0000000..bd666af --- /dev/null +++ b/checkpoint-9000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dc6ae3a9001fa318474b1658c409104d2be42c60d9766c20f12d346bba415531 +size 14244 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": "", + "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": "", + "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..6bb4e05 --- /dev/null +++ b/checkpoint-9000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-9000/trainer_state.json b/checkpoint-9000/trainer_state.json new file mode 100644 index 0000000..ce1d5b9 --- /dev/null +++ b/checkpoint-9000/trainer_state.json @@ -0,0 +1,18232 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.730124391563008, + "eval_steps": 500, + "global_step": 9000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + }, + { + "entropy": 5.5260412216186525, + "epoch": 4.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0003273583644789772, + "loss": 5.0416, + "mean_token_accuracy": 0.2119097203016281, + "num_tokens": 10116420.0, + "step": 4505 + }, + { + "entropy": 5.480229425430298, + "epoch": 4.876149269875609, + "grad_norm": 0.984375, + "learning_rate": 0.00032694112553039795, + "loss": 5.0407, + "mean_token_accuracy": 0.20997347682714462, + "num_tokens": 10127289.0, + "step": 4510 + }, + { + "entropy": 5.582333183288574, + "epoch": 4.881557598702001, + "grad_norm": 0.89453125, + "learning_rate": 0.0003265236978276484, + "loss": 5.1776, + "mean_token_accuracy": 0.2014921173453331, + "num_tokens": 10139216.0, + "step": 4515 + }, + { + "entropy": 5.586625242233277, + "epoch": 4.886965927528394, + "grad_norm": 0.9609375, + "learning_rate": 0.00032610608288766185, + "loss": 5.0455, + "mean_token_accuracy": 0.22018371075391768, + "num_tokens": 10150010.0, + "step": 4520 + }, + { + "entropy": 5.507440090179443, + "epoch": 4.8923742563547865, + "grad_norm": 0.93359375, + "learning_rate": 0.00032568828222805216, + "loss": 5.0416, + "mean_token_accuracy": 0.21397803723812103, + "num_tokens": 10161317.0, + "step": 4525 + }, + { + "entropy": 5.520569133758545, + "epoch": 4.897782585181179, + "grad_norm": 1.0390625, + "learning_rate": 0.0003252702973671075, + "loss": 5.0784, + "mean_token_accuracy": 0.22154383063316346, + "num_tokens": 10172681.0, + "step": 4530 + }, + { + "entropy": 5.564612579345703, + "epoch": 4.903190914007571, + "grad_norm": 0.9375, + "learning_rate": 0.00032485212982378615, + "loss": 5.0628, + "mean_token_accuracy": 0.21105246245861053, + "num_tokens": 10184755.0, + "step": 4535 + }, + { + "entropy": 5.513889312744141, + "epoch": 4.908599242833964, + "grad_norm": 1.015625, + "learning_rate": 0.0003244337811177098, + "loss": 5.0479, + "mean_token_accuracy": 0.21932805627584456, + "num_tokens": 10195252.0, + "step": 4540 + }, + { + "entropy": 5.543384790420532, + "epoch": 4.914007571660357, + "grad_norm": 0.97265625, + "learning_rate": 0.0003240152527691586, + "loss": 5.152, + "mean_token_accuracy": 0.1962687239050865, + "num_tokens": 10207660.0, + "step": 4545 + }, + { + "entropy": 5.5311463356018065, + "epoch": 4.91941590048675, + "grad_norm": 0.94140625, + "learning_rate": 0.00032359654629906555, + "loss": 5.0906, + "mean_token_accuracy": 0.21332904547452927, + "num_tokens": 10218154.0, + "step": 4550 + }, + { + "entropy": 5.496583652496338, + "epoch": 4.924824229313142, + "grad_norm": 0.92578125, + "learning_rate": 0.00032317766322901106, + "loss": 5.0363, + "mean_token_accuracy": 0.2050163671374321, + "num_tokens": 10229624.0, + "step": 4555 + }, + { + "entropy": 5.5351176261901855, + "epoch": 4.930232558139535, + "grad_norm": 0.97265625, + "learning_rate": 0.000322758605081217, + "loss": 5.0029, + "mean_token_accuracy": 0.2171091064810753, + "num_tokens": 10240338.0, + "step": 4560 + }, + { + "entropy": 5.489692735671997, + "epoch": 4.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.00032233937337854167, + "loss": 5.0781, + "mean_token_accuracy": 0.21066401302814483, + "num_tokens": 10250721.0, + "step": 4565 + }, + { + "entropy": 5.483132600784302, + "epoch": 4.9410492157923205, + "grad_norm": 0.85546875, + "learning_rate": 0.0003219199696444741, + "loss": 5.1115, + "mean_token_accuracy": 0.20521238595247268, + "num_tokens": 10262596.0, + "step": 4570 + }, + { + "entropy": 5.630878591537476, + "epoch": 4.9464575446187125, + "grad_norm": 0.9375, + "learning_rate": 0.00032150039540312843, + "loss": 5.2161, + "mean_token_accuracy": 0.20218149423599244, + "num_tokens": 10275043.0, + "step": 4575 + }, + { + "entropy": 5.597415924072266, + "epoch": 4.951865873445105, + "grad_norm": 0.86328125, + "learning_rate": 0.00032108065217923836, + "loss": 5.1768, + "mean_token_accuracy": 0.20507008731365203, + "num_tokens": 10286593.0, + "step": 4580 + }, + { + "entropy": 5.684569835662842, + "epoch": 4.957274202271498, + "grad_norm": 0.91796875, + "learning_rate": 0.00032066074149815184, + "loss": 5.1852, + "mean_token_accuracy": 0.20786730647087098, + "num_tokens": 10297459.0, + "step": 4585 + }, + { + "entropy": 5.420581722259522, + "epoch": 4.962682531097891, + "grad_norm": 0.8984375, + "learning_rate": 0.00032024066488582517, + "loss": 4.9087, + "mean_token_accuracy": 0.22307772785425187, + "num_tokens": 10308397.0, + "step": 4590 + }, + { + "entropy": 5.616361284255982, + "epoch": 4.968090859924283, + "grad_norm": 0.9921875, + "learning_rate": 0.0003198204238688178, + "loss": 5.1932, + "mean_token_accuracy": 0.20035981386899948, + "num_tokens": 10319648.0, + "step": 4595 + }, + { + "entropy": 5.652286148071289, + "epoch": 4.973499188750676, + "grad_norm": 0.94140625, + "learning_rate": 0.00031940001997428645, + "loss": 5.1707, + "mean_token_accuracy": 0.2010723575949669, + "num_tokens": 10330922.0, + "step": 4600 + }, + { + "entropy": 5.523626327514648, + "epoch": 4.978907517577069, + "grad_norm": 1.03125, + "learning_rate": 0.00031897945472997996, + "loss": 5.0548, + "mean_token_accuracy": 0.20578106194734574, + "num_tokens": 10341959.0, + "step": 4605 + }, + { + "entropy": 5.5449658870697025, + "epoch": 4.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0003185587296642333, + "loss": 5.1312, + "mean_token_accuracy": 0.21090947985649108, + "num_tokens": 10353125.0, + "step": 4610 + }, + { + "entropy": 5.567223691940308, + "epoch": 4.9897241752298545, + "grad_norm": 1.0546875, + "learning_rate": 0.0003181378463059625, + "loss": 5.155, + "mean_token_accuracy": 0.2045162320137024, + "num_tokens": 10364528.0, + "step": 4615 + }, + { + "entropy": 5.502493953704834, + "epoch": 4.995132504056246, + "grad_norm": 0.8984375, + "learning_rate": 0.0003177168061846584, + "loss": 5.013, + "mean_token_accuracy": 0.21816083341836928, + "num_tokens": 10375252.0, + "step": 4620 + }, + { + "entropy": 5.496442000071208, + "epoch": 5.0, + "grad_norm": 1.84375, + "learning_rate": 0.0003172956108303819, + "loss": 4.9872, + "mean_token_accuracy": 0.216766443517473, + "num_tokens": 10384445.0, + "step": 4625 + }, + { + "entropy": 5.528093242645264, + "epoch": 5.005408328826393, + "grad_norm": 0.88671875, + "learning_rate": 0.0003168742617737579, + "loss": 4.9556, + "mean_token_accuracy": 0.21919166445732116, + "num_tokens": 10396122.0, + "step": 4630 + }, + { + "entropy": 5.603008890151978, + "epoch": 5.010816657652786, + "grad_norm": 0.7890625, + "learning_rate": 0.00031645276054597006, + "loss": 4.9064, + "mean_token_accuracy": 0.2211405813694, + "num_tokens": 10409135.0, + "step": 4635 + }, + { + "entropy": 5.586550092697143, + "epoch": 5.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.00031603110867875435, + "loss": 4.8883, + "mean_token_accuracy": 0.22872422486543656, + "num_tokens": 10421068.0, + "step": 4640 + }, + { + "entropy": 5.501196575164795, + "epoch": 5.0216333153055706, + "grad_norm": 0.953125, + "learning_rate": 0.000315609307704395, + "loss": 4.8529, + "mean_token_accuracy": 0.2281401500105858, + "num_tokens": 10432117.0, + "step": 4645 + }, + { + "entropy": 5.535338020324707, + "epoch": 5.027041644131963, + "grad_norm": 0.8984375, + "learning_rate": 0.0003151873591557176, + "loss": 4.8912, + "mean_token_accuracy": 0.22080296128988267, + "num_tokens": 10443547.0, + "step": 4650 + }, + { + "entropy": 5.5264379501342775, + "epoch": 5.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.00031476526456608415, + "loss": 4.8489, + "mean_token_accuracy": 0.22700522541999818, + "num_tokens": 10455038.0, + "step": 4655 + }, + { + "entropy": 5.550225639343262, + "epoch": 5.037858301784748, + "grad_norm": 0.95703125, + "learning_rate": 0.0003143430254693873, + "loss": 4.9477, + "mean_token_accuracy": 0.21674466133117676, + "num_tokens": 10466682.0, + "step": 4660 + }, + { + "entropy": 5.5271460056304935, + "epoch": 5.043266630611141, + "grad_norm": 1.0078125, + "learning_rate": 0.0003139206434000451, + "loss": 4.9151, + "mean_token_accuracy": 0.22240815162658692, + "num_tokens": 10478575.0, + "step": 4665 + }, + { + "entropy": 5.569495391845703, + "epoch": 5.048674959437534, + "grad_norm": 0.94140625, + "learning_rate": 0.0003134981198929948, + "loss": 4.8959, + "mean_token_accuracy": 0.2266492411494255, + "num_tokens": 10490088.0, + "step": 4670 + }, + { + "entropy": 5.498064756393433, + "epoch": 5.054083288263927, + "grad_norm": 1.0546875, + "learning_rate": 0.00031307545648368777, + "loss": 4.7767, + "mean_token_accuracy": 0.2328466773033142, + "num_tokens": 10499877.0, + "step": 4675 + }, + { + "entropy": 5.46832504272461, + "epoch": 5.059491617090319, + "grad_norm": 0.9765625, + "learning_rate": 0.00031265265470808393, + "loss": 4.7688, + "mean_token_accuracy": 0.23446664959192276, + "num_tokens": 10509830.0, + "step": 4680 + }, + { + "entropy": 5.477397060394287, + "epoch": 5.064899945916712, + "grad_norm": 1.0078125, + "learning_rate": 0.00031222971610264595, + "loss": 4.8014, + "mean_token_accuracy": 0.22999125868082046, + "num_tokens": 10520072.0, + "step": 4685 + }, + { + "entropy": 5.526410722732544, + "epoch": 5.0703082747431045, + "grad_norm": 1.0, + "learning_rate": 0.00031180664220433347, + "loss": 4.9696, + "mean_token_accuracy": 0.22071902453899384, + "num_tokens": 10531260.0, + "step": 4690 + }, + { + "entropy": 5.477414608001709, + "epoch": 5.075716603569497, + "grad_norm": 1.0, + "learning_rate": 0.00031138343455059823, + "loss": 4.8571, + "mean_token_accuracy": 0.22696343213319778, + "num_tokens": 10542971.0, + "step": 4695 + }, + { + "entropy": 5.464529418945313, + "epoch": 5.081124932395889, + "grad_norm": 0.97265625, + "learning_rate": 0.0003109600946793778, + "loss": 4.8392, + "mean_token_accuracy": 0.2284951239824295, + "num_tokens": 10554101.0, + "step": 4700 + }, + { + "entropy": 5.605349922180176, + "epoch": 5.086533261222282, + "grad_norm": 0.94140625, + "learning_rate": 0.00031053662412909024, + "loss": 4.9924, + "mean_token_accuracy": 0.21688981205224991, + "num_tokens": 10565866.0, + "step": 4705 + }, + { + "entropy": 5.453184270858765, + "epoch": 5.091941590048675, + "grad_norm": 0.8671875, + "learning_rate": 0.0003101130244386283, + "loss": 4.8064, + "mean_token_accuracy": 0.23072075247764587, + "num_tokens": 10577276.0, + "step": 4710 + }, + { + "entropy": 5.594261884689331, + "epoch": 5.097349918875068, + "grad_norm": 0.9609375, + "learning_rate": 0.00030968929714735456, + "loss": 5.0054, + "mean_token_accuracy": 0.21874586939811708, + "num_tokens": 10588625.0, + "step": 4715 + }, + { + "entropy": 5.425375604629517, + "epoch": 5.10275824770146, + "grad_norm": 0.96875, + "learning_rate": 0.0003092654437950947, + "loss": 4.8637, + "mean_token_accuracy": 0.22720252275466918, + "num_tokens": 10599833.0, + "step": 4720 + }, + { + "entropy": 5.456516408920288, + "epoch": 5.108166576527853, + "grad_norm": 0.9921875, + "learning_rate": 0.0003088414659221331, + "loss": 4.8677, + "mean_token_accuracy": 0.21797628104686737, + "num_tokens": 10610156.0, + "step": 4725 + }, + { + "entropy": 5.480758142471314, + "epoch": 5.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.000308417365069206, + "loss": 4.8825, + "mean_token_accuracy": 0.22795740216970445, + "num_tokens": 10619839.0, + "step": 4730 + }, + { + "entropy": 5.499576425552368, + "epoch": 5.1189832341806385, + "grad_norm": 0.97265625, + "learning_rate": 0.00030799314277749697, + "loss": 4.8791, + "mean_token_accuracy": 0.22572332620620728, + "num_tokens": 10631671.0, + "step": 4735 + }, + { + "entropy": 5.485957908630371, + "epoch": 5.1243915630070305, + "grad_norm": 1.0, + "learning_rate": 0.00030756880058863085, + "loss": 4.8818, + "mean_token_accuracy": 0.22702433317899703, + "num_tokens": 10642597.0, + "step": 4740 + }, + { + "entropy": 5.547960376739502, + "epoch": 5.129799891833423, + "grad_norm": 1.015625, + "learning_rate": 0.00030714434004466823, + "loss": 4.9414, + "mean_token_accuracy": 0.21335140615701675, + "num_tokens": 10653323.0, + "step": 4745 + }, + { + "entropy": 5.5615216255187985, + "epoch": 5.135208220659816, + "grad_norm": 0.9609375, + "learning_rate": 0.00030671976268809947, + "loss": 4.9737, + "mean_token_accuracy": 0.21917204856872557, + "num_tokens": 10665572.0, + "step": 4750 + }, + { + "entropy": 5.450459241867065, + "epoch": 5.140616549486209, + "grad_norm": 1.09375, + "learning_rate": 0.00030629507006183995, + "loss": 4.8015, + "mean_token_accuracy": 0.22744957357645035, + "num_tokens": 10676686.0, + "step": 4755 + }, + { + "entropy": 5.458092498779297, + "epoch": 5.146024878312601, + "grad_norm": 1.1328125, + "learning_rate": 0.0003058702637092234, + "loss": 4.9562, + "mean_token_accuracy": 0.2186889737844467, + "num_tokens": 10687188.0, + "step": 4760 + }, + { + "entropy": 5.513929224014282, + "epoch": 5.151433207138994, + "grad_norm": 0.95703125, + "learning_rate": 0.00030544534517399724, + "loss": 4.8805, + "mean_token_accuracy": 0.22149462401866912, + "num_tokens": 10698343.0, + "step": 4765 + }, + { + "entropy": 5.509257984161377, + "epoch": 5.156841535965387, + "grad_norm": 0.94921875, + "learning_rate": 0.0003050203160003163, + "loss": 4.8566, + "mean_token_accuracy": 0.2240440934896469, + "num_tokens": 10710732.0, + "step": 4770 + }, + { + "entropy": 5.527531480789184, + "epoch": 5.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.0003045951777327377, + "loss": 4.9337, + "mean_token_accuracy": 0.2243843585252762, + "num_tokens": 10722397.0, + "step": 4775 + }, + { + "entropy": 5.396258449554443, + "epoch": 5.167658193618172, + "grad_norm": 0.96484375, + "learning_rate": 0.0003041699319162148, + "loss": 4.8263, + "mean_token_accuracy": 0.221099328994751, + "num_tokens": 10733714.0, + "step": 4780 + }, + { + "entropy": 5.487423133850098, + "epoch": 5.173066522444564, + "grad_norm": 0.921875, + "learning_rate": 0.00030374458009609193, + "loss": 4.9096, + "mean_token_accuracy": 0.22515179812908173, + "num_tokens": 10745748.0, + "step": 4785 + }, + { + "entropy": 5.6112525939941404, + "epoch": 5.178474851270957, + "grad_norm": 1.015625, + "learning_rate": 0.0003033191238180985, + "loss": 4.9403, + "mean_token_accuracy": 0.2272365614771843, + "num_tokens": 10756094.0, + "step": 4790 + }, + { + "entropy": 5.50868330001831, + "epoch": 5.18388318009735, + "grad_norm": 0.9921875, + "learning_rate": 0.0003028935646283438, + "loss": 4.994, + "mean_token_accuracy": 0.21618228554725646, + "num_tokens": 10768068.0, + "step": 4795 + }, + { + "entropy": 5.4779845714569095, + "epoch": 5.189291508923742, + "grad_norm": 1.03125, + "learning_rate": 0.00030246790407331063, + "loss": 4.8476, + "mean_token_accuracy": 0.2233078360557556, + "num_tokens": 10778917.0, + "step": 4800 + }, + { + "entropy": 5.495712518692017, + "epoch": 5.194699837750135, + "grad_norm": 0.99609375, + "learning_rate": 0.00030204214369985066, + "loss": 4.8669, + "mean_token_accuracy": 0.2277569890022278, + "num_tokens": 10790552.0, + "step": 4805 + }, + { + "entropy": 5.527979612350464, + "epoch": 5.200108166576528, + "grad_norm": 0.94140625, + "learning_rate": 0.00030161628505517797, + "loss": 4.9054, + "mean_token_accuracy": 0.21913376003503798, + "num_tokens": 10803199.0, + "step": 4810 + }, + { + "entropy": 5.44367413520813, + "epoch": 5.205516495402921, + "grad_norm": 0.984375, + "learning_rate": 0.00030119032968686397, + "loss": 4.8415, + "mean_token_accuracy": 0.22889240086078644, + "num_tokens": 10814339.0, + "step": 4815 + }, + { + "entropy": 5.460538148880005, + "epoch": 5.210924824229313, + "grad_norm": 0.9140625, + "learning_rate": 0.00030076427914283127, + "loss": 4.9144, + "mean_token_accuracy": 0.21594512164592744, + "num_tokens": 10825776.0, + "step": 4820 + }, + { + "entropy": 5.530256366729736, + "epoch": 5.2163331530557056, + "grad_norm": 0.99609375, + "learning_rate": 0.00030033813497134864, + "loss": 4.8544, + "mean_token_accuracy": 0.22742793411016465, + "num_tokens": 10837179.0, + "step": 4825 + }, + { + "entropy": 5.434867238998413, + "epoch": 5.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.000299911898721025, + "loss": 4.9009, + "mean_token_accuracy": 0.22611162364482879, + "num_tokens": 10847205.0, + "step": 4830 + }, + { + "entropy": 5.504870128631592, + "epoch": 5.227149810708491, + "grad_norm": 0.859375, + "learning_rate": 0.00029948557194080385, + "loss": 4.8953, + "mean_token_accuracy": 0.2238959863781929, + "num_tokens": 10859895.0, + "step": 4835 + }, + { + "entropy": 5.442061185836792, + "epoch": 5.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.0002990591561799576, + "loss": 4.9241, + "mean_token_accuracy": 0.21286537796258925, + "num_tokens": 10871286.0, + "step": 4840 + }, + { + "entropy": 5.443824434280396, + "epoch": 5.237966468361276, + "grad_norm": 1.03125, + "learning_rate": 0.0002986326529880823, + "loss": 4.756, + "mean_token_accuracy": 0.23349499106407165, + "num_tokens": 10883479.0, + "step": 4845 + }, + { + "entropy": 5.577119398117065, + "epoch": 5.243374797187669, + "grad_norm": 1.125, + "learning_rate": 0.0002982060639150913, + "loss": 4.9296, + "mean_token_accuracy": 0.22659704983234405, + "num_tokens": 10895432.0, + "step": 4850 + }, + { + "entropy": 5.486083078384399, + "epoch": 5.248783126014062, + "grad_norm": 0.953125, + "learning_rate": 0.0002977793905112106, + "loss": 4.9538, + "mean_token_accuracy": 0.22209923714399338, + "num_tokens": 10906891.0, + "step": 4855 + }, + { + "entropy": 5.444073104858399, + "epoch": 5.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00029735263432697183, + "loss": 4.9508, + "mean_token_accuracy": 0.21773838251829147, + "num_tokens": 10917706.0, + "step": 4860 + }, + { + "entropy": 5.456596851348877, + "epoch": 5.259599783666847, + "grad_norm": 0.9609375, + "learning_rate": 0.0002969257969132085, + "loss": 4.9405, + "mean_token_accuracy": 0.2228843316435814, + "num_tokens": 10929325.0, + "step": 4865 + }, + { + "entropy": 5.524547338485718, + "epoch": 5.2650081124932395, + "grad_norm": 1.109375, + "learning_rate": 0.0002964988798210485, + "loss": 4.9319, + "mean_token_accuracy": 0.2103923425078392, + "num_tokens": 10939899.0, + "step": 4870 + }, + { + "entropy": 5.495690202713012, + "epoch": 5.270416441319632, + "grad_norm": 0.9921875, + "learning_rate": 0.0002960718846019095, + "loss": 4.8823, + "mean_token_accuracy": 0.22650152891874314, + "num_tokens": 10949801.0, + "step": 4875 + }, + { + "entropy": 5.351631355285645, + "epoch": 5.275824770146025, + "grad_norm": 1.0078125, + "learning_rate": 0.0002956448128074931, + "loss": 4.7594, + "mean_token_accuracy": 0.2333318457007408, + "num_tokens": 10960191.0, + "step": 4880 + }, + { + "entropy": 5.565910768508911, + "epoch": 5.281233098972417, + "grad_norm": 0.88671875, + "learning_rate": 0.0002952176659897794, + "loss": 5.0229, + "mean_token_accuracy": 0.21818405240774155, + "num_tokens": 10972818.0, + "step": 4885 + }, + { + "entropy": 5.542775964736938, + "epoch": 5.28664142779881, + "grad_norm": 1.015625, + "learning_rate": 0.0002947904457010207, + "loss": 4.9287, + "mean_token_accuracy": 0.21841724514961242, + "num_tokens": 10984320.0, + "step": 4890 + }, + { + "entropy": 5.501249027252197, + "epoch": 5.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0002943631534937366, + "loss": 4.8801, + "mean_token_accuracy": 0.22640899568796158, + "num_tokens": 10995262.0, + "step": 4895 + }, + { + "entropy": 5.385098266601562, + "epoch": 5.297458085451596, + "grad_norm": 0.984375, + "learning_rate": 0.0002939357909207079, + "loss": 4.8709, + "mean_token_accuracy": 0.22468690872192382, + "num_tokens": 11005788.0, + "step": 4900 + }, + { + "entropy": 5.5195540428161625, + "epoch": 5.302866414277988, + "grad_norm": 1.0390625, + "learning_rate": 0.0002935083595349713, + "loss": 4.9028, + "mean_token_accuracy": 0.2290490075945854, + "num_tokens": 11016772.0, + "step": 4905 + }, + { + "entropy": 5.531022310256958, + "epoch": 5.308274743104381, + "grad_norm": 0.92578125, + "learning_rate": 0.00029308086088981335, + "loss": 4.962, + "mean_token_accuracy": 0.22039518356323243, + "num_tokens": 11028917.0, + "step": 4910 + }, + { + "entropy": 5.498329496383667, + "epoch": 5.3136830719307735, + "grad_norm": 1.0546875, + "learning_rate": 0.00029265329653876515, + "loss": 4.9503, + "mean_token_accuracy": 0.21752556413412094, + "num_tokens": 11040500.0, + "step": 4915 + }, + { + "entropy": 5.476529359817505, + "epoch": 5.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.0002922256680355965, + "loss": 4.8668, + "mean_token_accuracy": 0.2250487968325615, + "num_tokens": 11052173.0, + "step": 4920 + }, + { + "entropy": 5.542095422744751, + "epoch": 5.324499729583558, + "grad_norm": 1.109375, + "learning_rate": 0.00029179797693431046, + "loss": 4.8896, + "mean_token_accuracy": 0.22516080290079116, + "num_tokens": 11061917.0, + "step": 4925 + }, + { + "entropy": 5.450285196304321, + "epoch": 5.329908058409951, + "grad_norm": 1.0703125, + "learning_rate": 0.0002913702247891374, + "loss": 4.8752, + "mean_token_accuracy": 0.23229186683893205, + "num_tokens": 11072820.0, + "step": 4930 + }, + { + "entropy": 5.564850187301635, + "epoch": 5.335316387236344, + "grad_norm": 1.0625, + "learning_rate": 0.0002909424131545296, + "loss": 4.9642, + "mean_token_accuracy": 0.22445973008871078, + "num_tokens": 11083140.0, + "step": 4935 + }, + { + "entropy": 5.542190027236939, + "epoch": 5.340724716062737, + "grad_norm": 0.90234375, + "learning_rate": 0.00029051454358515553, + "loss": 4.9289, + "mean_token_accuracy": 0.22055180966854096, + "num_tokens": 11094314.0, + "step": 4940 + }, + { + "entropy": 5.50953254699707, + "epoch": 5.346133044889129, + "grad_norm": 0.92578125, + "learning_rate": 0.00029008661763589436, + "loss": 4.9733, + "mean_token_accuracy": 0.2225899413228035, + "num_tokens": 11106748.0, + "step": 4945 + }, + { + "entropy": 5.510439777374268, + "epoch": 5.351541373715522, + "grad_norm": 0.91796875, + "learning_rate": 0.0002896586368618297, + "loss": 4.9464, + "mean_token_accuracy": 0.22568726241588594, + "num_tokens": 11118702.0, + "step": 4950 + }, + { + "entropy": 5.525369310379029, + "epoch": 5.356949702541915, + "grad_norm": 0.96875, + "learning_rate": 0.00028923060281824483, + "loss": 4.9396, + "mean_token_accuracy": 0.21333917528390883, + "num_tokens": 11130782.0, + "step": 4955 + }, + { + "entropy": 5.4839788436889645, + "epoch": 5.3623580313683075, + "grad_norm": 1.015625, + "learning_rate": 0.0002888025170606165, + "loss": 4.9011, + "mean_token_accuracy": 0.22421319633722306, + "num_tokens": 11142536.0, + "step": 4960 + }, + { + "entropy": 5.483171844482422, + "epoch": 5.367766360194699, + "grad_norm": 1.0, + "learning_rate": 0.00028837438114460924, + "loss": 4.9031, + "mean_token_accuracy": 0.2182278573513031, + "num_tokens": 11154027.0, + "step": 4965 + }, + { + "entropy": 5.48946442604065, + "epoch": 5.373174689021092, + "grad_norm": 1.0625, + "learning_rate": 0.0002879461966260699, + "loss": 4.9259, + "mean_token_accuracy": 0.2160453200340271, + "num_tokens": 11164759.0, + "step": 4970 + }, + { + "entropy": 5.501074504852295, + "epoch": 5.378583017847485, + "grad_norm": 0.953125, + "learning_rate": 0.00028751796506102224, + "loss": 4.9456, + "mean_token_accuracy": 0.22141506671905517, + "num_tokens": 11176341.0, + "step": 4975 + }, + { + "entropy": 5.5393781661987305, + "epoch": 5.383991346673878, + "grad_norm": 0.95703125, + "learning_rate": 0.00028708968800566056, + "loss": 4.906, + "mean_token_accuracy": 0.22104442417621611, + "num_tokens": 11188958.0, + "step": 4980 + }, + { + "entropy": 5.5685571193695065, + "epoch": 5.38939967550027, + "grad_norm": 1.140625, + "learning_rate": 0.00028666136701634474, + "loss": 5.0001, + "mean_token_accuracy": 0.20960879027843476, + "num_tokens": 11200895.0, + "step": 4985 + }, + { + "entropy": 5.529350328445434, + "epoch": 5.394808004326663, + "grad_norm": 0.96875, + "learning_rate": 0.0002862330036495942, + "loss": 4.9108, + "mean_token_accuracy": 0.22896960824728013, + "num_tokens": 11211563.0, + "step": 4990 + }, + { + "entropy": 5.5777318477630615, + "epoch": 5.400216333153056, + "grad_norm": 0.9921875, + "learning_rate": 0.0002858045994620825, + "loss": 5.0099, + "mean_token_accuracy": 0.21429480612277985, + "num_tokens": 11223323.0, + "step": 4995 + }, + { + "entropy": 5.532574558258057, + "epoch": 5.405624661979449, + "grad_norm": 0.9375, + "learning_rate": 0.00028537615601063133, + "loss": 4.9088, + "mean_token_accuracy": 0.2173854023218155, + "num_tokens": 11235991.0, + "step": 5000 + }, + { + "epoch": 5.405624661979449, + "eval_entropy": 5.359868227351796, + "eval_loss": 5.847285270690918, + "eval_mean_token_accuracy": 0.18075780379162593, + "eval_num_tokens": 11235991.0, + "eval_runtime": 3.5358, + "eval_samples_per_second": 994.104, + "eval_steps_per_second": 124.44, + "step": 5000 + }, + { + "entropy": 5.455257225036621, + "epoch": 5.411032990805841, + "grad_norm": 0.9609375, + "learning_rate": 0.0002849476748522052, + "loss": 4.8879, + "mean_token_accuracy": 0.22323424369096756, + "num_tokens": 11247406.0, + "step": 5005 + }, + { + "entropy": 5.3663108348846436, + "epoch": 5.416441319632233, + "grad_norm": 0.89453125, + "learning_rate": 0.0002845191575439057, + "loss": 4.8489, + "mean_token_accuracy": 0.22015611827373505, + "num_tokens": 11259031.0, + "step": 5010 + }, + { + "entropy": 5.463020086288452, + "epoch": 5.421849648458626, + "grad_norm": 0.9609375, + "learning_rate": 0.0002840906056429658, + "loss": 4.9252, + "mean_token_accuracy": 0.2181644394993782, + "num_tokens": 11270321.0, + "step": 5015 + }, + { + "entropy": 5.51222939491272, + "epoch": 5.427257977285019, + "grad_norm": 1.0703125, + "learning_rate": 0.0002836620207067439, + "loss": 5.0229, + "mean_token_accuracy": 0.2076768919825554, + "num_tokens": 11282209.0, + "step": 5020 + }, + { + "entropy": 5.5796140193939205, + "epoch": 5.432666306111411, + "grad_norm": 1.1171875, + "learning_rate": 0.00028323340429271875, + "loss": 4.9472, + "mean_token_accuracy": 0.21594048887491227, + "num_tokens": 11292987.0, + "step": 5025 + }, + { + "entropy": 5.507422924041748, + "epoch": 5.438074634937804, + "grad_norm": 1.0390625, + "learning_rate": 0.0002828047579584833, + "loss": 4.9016, + "mean_token_accuracy": 0.22376736998558044, + "num_tokens": 11303197.0, + "step": 5030 + }, + { + "entropy": 5.413560152053833, + "epoch": 5.443482963764197, + "grad_norm": 0.98828125, + "learning_rate": 0.00028237608326173944, + "loss": 4.8308, + "mean_token_accuracy": 0.23067670911550522, + "num_tokens": 11315229.0, + "step": 5035 + }, + { + "entropy": 5.44630651473999, + "epoch": 5.44889129259059, + "grad_norm": 1.078125, + "learning_rate": 0.00028194738176029206, + "loss": 4.9124, + "mean_token_accuracy": 0.2220005840063095, + "num_tokens": 11326033.0, + "step": 5040 + }, + { + "entropy": 5.43988265991211, + "epoch": 5.4542996214169825, + "grad_norm": 1.0078125, + "learning_rate": 0.00028151865501204316, + "loss": 4.9213, + "mean_token_accuracy": 0.21385481357574462, + "num_tokens": 11335670.0, + "step": 5045 + }, + { + "entropy": 5.48417558670044, + "epoch": 5.4597079502433745, + "grad_norm": 0.91015625, + "learning_rate": 0.00028108990457498696, + "loss": 4.8722, + "mean_token_accuracy": 0.2302040845155716, + "num_tokens": 11346882.0, + "step": 5050 + }, + { + "entropy": 5.480646085739136, + "epoch": 5.465116279069767, + "grad_norm": 1.015625, + "learning_rate": 0.00028066113200720343, + "loss": 4.8288, + "mean_token_accuracy": 0.22758808583021164, + "num_tokens": 11358141.0, + "step": 5055 + }, + { + "entropy": 5.407720994949341, + "epoch": 5.47052460789616, + "grad_norm": 0.984375, + "learning_rate": 0.00028023233886685314, + "loss": 4.8753, + "mean_token_accuracy": 0.22024642527103425, + "num_tokens": 11368981.0, + "step": 5060 + }, + { + "entropy": 5.502127361297608, + "epoch": 5.475932936722553, + "grad_norm": 1.0234375, + "learning_rate": 0.0002798035267121713, + "loss": 5.0012, + "mean_token_accuracy": 0.21348655074834824, + "num_tokens": 11381613.0, + "step": 5065 + }, + { + "entropy": 5.569995927810669, + "epoch": 5.481341265548945, + "grad_norm": 1.046875, + "learning_rate": 0.0002793746971014623, + "loss": 4.9372, + "mean_token_accuracy": 0.22158569246530532, + "num_tokens": 11392321.0, + "step": 5070 + }, + { + "entropy": 5.4565346240997314, + "epoch": 5.486749594375338, + "grad_norm": 1.078125, + "learning_rate": 0.0002789458515930939, + "loss": 4.9292, + "mean_token_accuracy": 0.2208003059029579, + "num_tokens": 11403546.0, + "step": 5075 + }, + { + "entropy": 5.454629850387573, + "epoch": 5.492157923201731, + "grad_norm": 0.98046875, + "learning_rate": 0.00027851699174549164, + "loss": 4.8671, + "mean_token_accuracy": 0.22627684772014617, + "num_tokens": 11415167.0, + "step": 5080 + }, + { + "entropy": 5.518552207946778, + "epoch": 5.497566252028124, + "grad_norm": 1.0234375, + "learning_rate": 0.0002780881191171333, + "loss": 4.8769, + "mean_token_accuracy": 0.22364618480205536, + "num_tokens": 11426715.0, + "step": 5085 + }, + { + "entropy": 5.49597282409668, + "epoch": 5.502974580854516, + "grad_norm": 1.0078125, + "learning_rate": 0.00027765923526654304, + "loss": 4.8677, + "mean_token_accuracy": 0.22670321613550187, + "num_tokens": 11437760.0, + "step": 5090 + }, + { + "entropy": 5.492688322067261, + "epoch": 5.5083829096809085, + "grad_norm": 0.9765625, + "learning_rate": 0.00027723034175228554, + "loss": 4.9421, + "mean_token_accuracy": 0.22019703984260558, + "num_tokens": 11448329.0, + "step": 5095 + }, + { + "entropy": 5.431415700912476, + "epoch": 5.513791238507301, + "grad_norm": 1.046875, + "learning_rate": 0.000276801440132961, + "loss": 4.7698, + "mean_token_accuracy": 0.234079709649086, + "num_tokens": 11459173.0, + "step": 5100 + }, + { + "entropy": 5.4285736083984375, + "epoch": 5.519199567333694, + "grad_norm": 0.9921875, + "learning_rate": 0.0002763725319671989, + "loss": 4.8748, + "mean_token_accuracy": 0.22336506843566895, + "num_tokens": 11470232.0, + "step": 5105 + }, + { + "entropy": 5.375560235977173, + "epoch": 5.524607896160086, + "grad_norm": 1.0234375, + "learning_rate": 0.0002759436188136525, + "loss": 4.8556, + "mean_token_accuracy": 0.22446597516536712, + "num_tokens": 11481181.0, + "step": 5110 + }, + { + "entropy": 5.518925189971924, + "epoch": 5.530016224986479, + "grad_norm": 1.0, + "learning_rate": 0.00027551470223099306, + "loss": 4.9085, + "mean_token_accuracy": 0.2181531310081482, + "num_tokens": 11491772.0, + "step": 5115 + }, + { + "entropy": 5.5260766506195065, + "epoch": 5.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0002750857837779045, + "loss": 4.8638, + "mean_token_accuracy": 0.22381193935871124, + "num_tokens": 11503895.0, + "step": 5120 + }, + { + "entropy": 5.480987071990967, + "epoch": 5.540832882639265, + "grad_norm": 1.0390625, + "learning_rate": 0.0002746568650130775, + "loss": 4.889, + "mean_token_accuracy": 0.22760302275419236, + "num_tokens": 11514189.0, + "step": 5125 + }, + { + "entropy": 5.37455005645752, + "epoch": 5.546241211465657, + "grad_norm": 0.95703125, + "learning_rate": 0.0002742279474952039, + "loss": 4.9044, + "mean_token_accuracy": 0.22398550659418107, + "num_tokens": 11526142.0, + "step": 5130 + }, + { + "entropy": 5.507328224182129, + "epoch": 5.55164954029205, + "grad_norm": 1.0234375, + "learning_rate": 0.00027379903278297086, + "loss": 4.9312, + "mean_token_accuracy": 0.21721230298280716, + "num_tokens": 11537061.0, + "step": 5135 + }, + { + "entropy": 5.530687284469605, + "epoch": 5.5570578691184425, + "grad_norm": 1.0234375, + "learning_rate": 0.00027337012243505536, + "loss": 5.0297, + "mean_token_accuracy": 0.20581408888101577, + "num_tokens": 11547319.0, + "step": 5140 + }, + { + "entropy": 5.504242658615112, + "epoch": 5.562466197944835, + "grad_norm": 0.98828125, + "learning_rate": 0.00027294121801011887, + "loss": 4.9418, + "mean_token_accuracy": 0.22116187661886216, + "num_tokens": 11558766.0, + "step": 5145 + }, + { + "entropy": 5.4529502391815186, + "epoch": 5.567874526771227, + "grad_norm": 1.0, + "learning_rate": 0.00027251232106680084, + "loss": 4.8547, + "mean_token_accuracy": 0.2266584575176239, + "num_tokens": 11570039.0, + "step": 5150 + }, + { + "entropy": 5.399138593673706, + "epoch": 5.57328285559762, + "grad_norm": 1.0078125, + "learning_rate": 0.00027208343316371383, + "loss": 4.8922, + "mean_token_accuracy": 0.2278255820274353, + "num_tokens": 11581664.0, + "step": 5155 + }, + { + "entropy": 5.466609287261963, + "epoch": 5.578691184424013, + "grad_norm": 0.9296875, + "learning_rate": 0.0002716545558594373, + "loss": 4.9241, + "mean_token_accuracy": 0.2118991419672966, + "num_tokens": 11592689.0, + "step": 5160 + }, + { + "entropy": 5.508473634719849, + "epoch": 5.584099513250406, + "grad_norm": 0.99609375, + "learning_rate": 0.0002712256907125126, + "loss": 4.8443, + "mean_token_accuracy": 0.2241092950105667, + "num_tokens": 11604315.0, + "step": 5165 + }, + { + "entropy": 5.543499088287353, + "epoch": 5.589507842076799, + "grad_norm": 1.0703125, + "learning_rate": 0.0002707968392814366, + "loss": 4.9643, + "mean_token_accuracy": 0.22009238004684448, + "num_tokens": 11614510.0, + "step": 5170 + }, + { + "entropy": 5.469890308380127, + "epoch": 5.594916170903191, + "grad_norm": 0.97265625, + "learning_rate": 0.00027036800312465635, + "loss": 4.8773, + "mean_token_accuracy": 0.22867128401994705, + "num_tokens": 11625501.0, + "step": 5175 + }, + { + "entropy": 5.535786056518555, + "epoch": 5.600324499729584, + "grad_norm": 1.0546875, + "learning_rate": 0.0002699391838005634, + "loss": 4.9374, + "mean_token_accuracy": 0.22422817051410676, + "num_tokens": 11636841.0, + "step": 5180 + }, + { + "entropy": 5.418750333786011, + "epoch": 5.605732828555976, + "grad_norm": 1.0859375, + "learning_rate": 0.00026951038286748824, + "loss": 4.8465, + "mean_token_accuracy": 0.2297739565372467, + "num_tokens": 11647475.0, + "step": 5185 + }, + { + "entropy": 5.530784225463867, + "epoch": 5.611141157382368, + "grad_norm": 0.96875, + "learning_rate": 0.0002690816018836945, + "loss": 4.9507, + "mean_token_accuracy": 0.2173537626862526, + "num_tokens": 11658887.0, + "step": 5190 + }, + { + "entropy": 5.471008729934693, + "epoch": 5.616549486208761, + "grad_norm": 1.0, + "learning_rate": 0.0002686528424073731, + "loss": 5.0088, + "mean_token_accuracy": 0.21145847886800767, + "num_tokens": 11669658.0, + "step": 5195 + }, + { + "entropy": 5.535061264038086, + "epoch": 5.621957815035154, + "grad_norm": 0.953125, + "learning_rate": 0.00026822410599663704, + "loss": 4.9716, + "mean_token_accuracy": 0.21699988692998887, + "num_tokens": 11681792.0, + "step": 5200 + }, + { + "entropy": 5.509040117263794, + "epoch": 5.627366143861547, + "grad_norm": 1.078125, + "learning_rate": 0.00026779539420951554, + "loss": 4.9293, + "mean_token_accuracy": 0.21873082220554352, + "num_tokens": 11691903.0, + "step": 5205 + }, + { + "entropy": 5.532304048538208, + "epoch": 5.63277447268794, + "grad_norm": 1.0390625, + "learning_rate": 0.0002673667086039481, + "loss": 4.9355, + "mean_token_accuracy": 0.22825905084609985, + "num_tokens": 11703383.0, + "step": 5210 + }, + { + "entropy": 5.5031740188598635, + "epoch": 5.638182801514332, + "grad_norm": 1.03125, + "learning_rate": 0.0002669380507377792, + "loss": 4.9336, + "mean_token_accuracy": 0.22372952252626419, + "num_tokens": 11714721.0, + "step": 5215 + }, + { + "entropy": 5.449891853332519, + "epoch": 5.643591130340725, + "grad_norm": 1.0234375, + "learning_rate": 0.0002665094221687525, + "loss": 4.935, + "mean_token_accuracy": 0.21551574170589446, + "num_tokens": 11726016.0, + "step": 5220 + }, + { + "entropy": 5.413540506362915, + "epoch": 5.6489994591671175, + "grad_norm": 1.0234375, + "learning_rate": 0.0002660808244545054, + "loss": 4.7575, + "mean_token_accuracy": 0.23251993656158448, + "num_tokens": 11737589.0, + "step": 5225 + }, + { + "entropy": 5.4685218811035154, + "epoch": 5.6544077879935095, + "grad_norm": 0.91796875, + "learning_rate": 0.00026565225915256276, + "loss": 4.8658, + "mean_token_accuracy": 0.22948329597711564, + "num_tokens": 11747969.0, + "step": 5230 + }, + { + "entropy": 5.443226861953735, + "epoch": 5.659816116819902, + "grad_norm": 1.0625, + "learning_rate": 0.000265223727820332, + "loss": 4.836, + "mean_token_accuracy": 0.22504404336214065, + "num_tokens": 11759535.0, + "step": 5235 + }, + { + "entropy": 5.523590898513794, + "epoch": 5.665224445646295, + "grad_norm": 1.0390625, + "learning_rate": 0.0002647952320150969, + "loss": 4.9775, + "mean_token_accuracy": 0.21442292630672455, + "num_tokens": 11770863.0, + "step": 5240 + }, + { + "entropy": 5.485964727401734, + "epoch": 5.670632774472688, + "grad_norm": 1.015625, + "learning_rate": 0.0002643667732940122, + "loss": 4.9001, + "mean_token_accuracy": 0.216877081990242, + "num_tokens": 11782643.0, + "step": 5245 + }, + { + "entropy": 5.467176008224487, + "epoch": 5.676041103299081, + "grad_norm": 0.94921875, + "learning_rate": 0.00026393835321409796, + "loss": 4.933, + "mean_token_accuracy": 0.22458599954843522, + "num_tokens": 11794468.0, + "step": 5250 + }, + { + "entropy": 5.514464282989502, + "epoch": 5.681449432125473, + "grad_norm": 0.99609375, + "learning_rate": 0.00026350997333223375, + "loss": 4.8836, + "mean_token_accuracy": 0.23128425031900407, + "num_tokens": 11807051.0, + "step": 5255 + }, + { + "entropy": 5.432554149627686, + "epoch": 5.686857760951866, + "grad_norm": 1.046875, + "learning_rate": 0.00026308163520515293, + "loss": 4.9193, + "mean_token_accuracy": 0.21702346503734588, + "num_tokens": 11817067.0, + "step": 5260 + }, + { + "entropy": 5.428543901443481, + "epoch": 5.692266089778259, + "grad_norm": 0.9375, + "learning_rate": 0.00026265334038943735, + "loss": 4.919, + "mean_token_accuracy": 0.22408238500356675, + "num_tokens": 11828111.0, + "step": 5265 + }, + { + "entropy": 5.502649211883545, + "epoch": 5.6976744186046515, + "grad_norm": 0.98828125, + "learning_rate": 0.0002622250904415113, + "loss": 4.8822, + "mean_token_accuracy": 0.2273074984550476, + "num_tokens": 11838536.0, + "step": 5270 + }, + { + "entropy": 5.53525743484497, + "epoch": 5.7030827474310435, + "grad_norm": 1.0234375, + "learning_rate": 0.0002617968869176362, + "loss": 4.9228, + "mean_token_accuracy": 0.22227408438920976, + "num_tokens": 11848899.0, + "step": 5275 + }, + { + "entropy": 5.473860883712769, + "epoch": 5.708491076257436, + "grad_norm": 0.98046875, + "learning_rate": 0.0002613687313739044, + "loss": 4.9651, + "mean_token_accuracy": 0.22359169721603395, + "num_tokens": 11861023.0, + "step": 5280 + }, + { + "entropy": 5.43254508972168, + "epoch": 5.713899405083829, + "grad_norm": 1.015625, + "learning_rate": 0.0002609406253662344, + "loss": 4.9318, + "mean_token_accuracy": 0.21903841942548752, + "num_tokens": 11871953.0, + "step": 5285 + }, + { + "entropy": 5.501645612716675, + "epoch": 5.719307733910222, + "grad_norm": 1.1171875, + "learning_rate": 0.0002605125704503643, + "loss": 4.9505, + "mean_token_accuracy": 0.2237919017672539, + "num_tokens": 11882874.0, + "step": 5290 + }, + { + "entropy": 5.58112268447876, + "epoch": 5.724716062736614, + "grad_norm": 0.95703125, + "learning_rate": 0.0002600845681818467, + "loss": 4.8646, + "mean_token_accuracy": 0.22650408893823623, + "num_tokens": 11893431.0, + "step": 5295 + }, + { + "entropy": 5.454003143310547, + "epoch": 5.730124391563007, + "grad_norm": 0.9296875, + "learning_rate": 0.0002596566201160427, + "loss": 4.8851, + "mean_token_accuracy": 0.22219976037740707, + "num_tokens": 11905311.0, + "step": 5300 + }, + { + "entropy": 5.404032039642334, + "epoch": 5.7355327203894, + "grad_norm": 1.0078125, + "learning_rate": 0.00025922872780811664, + "loss": 4.9546, + "mean_token_accuracy": 0.21621623486280442, + "num_tokens": 11916342.0, + "step": 5305 + }, + { + "entropy": 5.492973470687867, + "epoch": 5.740941049215793, + "grad_norm": 1.046875, + "learning_rate": 0.00025880089281303027, + "loss": 4.9193, + "mean_token_accuracy": 0.21626884043216704, + "num_tokens": 11927485.0, + "step": 5310 + }, + { + "entropy": 5.476612329483032, + "epoch": 5.746349378042185, + "grad_norm": 1.015625, + "learning_rate": 0.00025837311668553683, + "loss": 4.8302, + "mean_token_accuracy": 0.2276885449886322, + "num_tokens": 11937968.0, + "step": 5315 + }, + { + "entropy": 5.44808611869812, + "epoch": 5.7517577068685775, + "grad_norm": 1.09375, + "learning_rate": 0.0002579454009801757, + "loss": 4.7927, + "mean_token_accuracy": 0.23528771847486496, + "num_tokens": 11947510.0, + "step": 5320 + }, + { + "entropy": 5.477059698104858, + "epoch": 5.75716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.0002575177472512669, + "loss": 4.9526, + "mean_token_accuracy": 0.2218560740351677, + "num_tokens": 11960002.0, + "step": 5325 + }, + { + "entropy": 5.444899559020996, + "epoch": 5.762574364521363, + "grad_norm": 0.9921875, + "learning_rate": 0.000257090157052905, + "loss": 4.8705, + "mean_token_accuracy": 0.21838984936475753, + "num_tokens": 11970895.0, + "step": 5330 + }, + { + "entropy": 5.459397077560425, + "epoch": 5.767982693347756, + "grad_norm": 1.015625, + "learning_rate": 0.00025666263193895375, + "loss": 4.888, + "mean_token_accuracy": 0.21968889981508255, + "num_tokens": 11982910.0, + "step": 5335 + }, + { + "entropy": 5.511087703704834, + "epoch": 5.773391022174148, + "grad_norm": 1.0546875, + "learning_rate": 0.00025623517346304027, + "loss": 4.9507, + "mean_token_accuracy": 0.21630610823631286, + "num_tokens": 11994066.0, + "step": 5340 + }, + { + "entropy": 5.47811861038208, + "epoch": 5.778799351000541, + "grad_norm": 0.96484375, + "learning_rate": 0.00025580778317855, + "loss": 4.8659, + "mean_token_accuracy": 0.22627412974834443, + "num_tokens": 12004821.0, + "step": 5345 + }, + { + "entropy": 5.475780200958252, + "epoch": 5.784207679826934, + "grad_norm": 1.0859375, + "learning_rate": 0.0002553804626386199, + "loss": 4.9451, + "mean_token_accuracy": 0.2223440647125244, + "num_tokens": 12014973.0, + "step": 5350 + }, + { + "entropy": 5.551906108856201, + "epoch": 5.789616008653326, + "grad_norm": 0.9453125, + "learning_rate": 0.0002549532133961339, + "loss": 5.0273, + "mean_token_accuracy": 0.2145695760846138, + "num_tokens": 12026528.0, + "step": 5355 + }, + { + "entropy": 5.607546472549439, + "epoch": 5.795024337479719, + "grad_norm": 1.0625, + "learning_rate": 0.00025452603700371675, + "loss": 5.0506, + "mean_token_accuracy": 0.21419217735528945, + "num_tokens": 12038733.0, + "step": 5360 + }, + { + "entropy": 5.5201372623443605, + "epoch": 5.800432666306111, + "grad_norm": 1.015625, + "learning_rate": 0.0002540989350137285, + "loss": 4.9722, + "mean_token_accuracy": 0.21627445071935653, + "num_tokens": 12049821.0, + "step": 5365 + }, + { + "entropy": 5.565732765197754, + "epoch": 5.805840995132504, + "grad_norm": 0.99609375, + "learning_rate": 0.00025367190897825873, + "loss": 4.9698, + "mean_token_accuracy": 0.21938712447881697, + "num_tokens": 12060982.0, + "step": 5370 + }, + { + "entropy": 5.489997673034668, + "epoch": 5.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 0.0002532449604491209, + "loss": 4.8542, + "mean_token_accuracy": 0.2305293619632721, + "num_tokens": 12070842.0, + "step": 5375 + }, + { + "entropy": 5.4013769149780275, + "epoch": 5.816657652785289, + "grad_norm": 1.0859375, + "learning_rate": 0.0002528180909778471, + "loss": 4.8389, + "mean_token_accuracy": 0.2326238349080086, + "num_tokens": 12080992.0, + "step": 5380 + }, + { + "entropy": 5.480729961395264, + "epoch": 5.822065981611682, + "grad_norm": 1.046875, + "learning_rate": 0.00025239130211568206, + "loss": 4.9151, + "mean_token_accuracy": 0.22242391854524612, + "num_tokens": 12091905.0, + "step": 5385 + }, + { + "entropy": 5.520739364624023, + "epoch": 5.827474310438075, + "grad_norm": 0.98828125, + "learning_rate": 0.00025196459541357725, + "loss": 4.817, + "mean_token_accuracy": 0.22727247029542924, + "num_tokens": 12101577.0, + "step": 5390 + }, + { + "entropy": 5.555675268173218, + "epoch": 5.832882639264467, + "grad_norm": 1.078125, + "learning_rate": 0.00025153797242218604, + "loss": 5.017, + "mean_token_accuracy": 0.21263125836849212, + "num_tokens": 12112593.0, + "step": 5395 + }, + { + "entropy": 5.465591239929199, + "epoch": 5.83829096809086, + "grad_norm": 1.0625, + "learning_rate": 0.00025111143469185715, + "loss": 4.8337, + "mean_token_accuracy": 0.22807640731334686, + "num_tokens": 12122947.0, + "step": 5400 + }, + { + "entropy": 5.38767294883728, + "epoch": 5.8436992969172525, + "grad_norm": 1.03125, + "learning_rate": 0.0002506849837726299, + "loss": 4.7973, + "mean_token_accuracy": 0.23990508764982224, + "num_tokens": 12133557.0, + "step": 5405 + }, + { + "entropy": 5.5033042430877686, + "epoch": 5.849107625743645, + "grad_norm": 0.9921875, + "learning_rate": 0.0002502586212142278, + "loss": 4.9525, + "mean_token_accuracy": 0.21751385182142258, + "num_tokens": 12144735.0, + "step": 5410 + }, + { + "entropy": 5.468432903289795, + "epoch": 5.854515954570038, + "grad_norm": 1.03125, + "learning_rate": 0.00024983234856605337, + "loss": 4.9072, + "mean_token_accuracy": 0.22422076314687728, + "num_tokens": 12155786.0, + "step": 5415 + }, + { + "entropy": 5.499530363082886, + "epoch": 5.85992428339643, + "grad_norm": 0.84375, + "learning_rate": 0.00024940616737718235, + "loss": 5.0033, + "mean_token_accuracy": 0.21500488370656967, + "num_tokens": 12168846.0, + "step": 5420 + }, + { + "entropy": 5.475531673431396, + "epoch": 5.865332612222823, + "grad_norm": 0.98828125, + "learning_rate": 0.0002489800791963583, + "loss": 4.8433, + "mean_token_accuracy": 0.21648556888103485, + "num_tokens": 12179743.0, + "step": 5425 + }, + { + "entropy": 5.5550652027130125, + "epoch": 5.870740941049216, + "grad_norm": 1.0546875, + "learning_rate": 0.00024855408557198657, + "loss": 4.9396, + "mean_token_accuracy": 0.2263997510075569, + "num_tokens": 12190754.0, + "step": 5430 + }, + { + "entropy": 5.522177076339721, + "epoch": 5.876149269875609, + "grad_norm": 1.0234375, + "learning_rate": 0.000248128188052129, + "loss": 4.926, + "mean_token_accuracy": 0.2201258659362793, + "num_tokens": 12201293.0, + "step": 5435 + }, + { + "entropy": 5.500701284408569, + "epoch": 5.881557598702001, + "grad_norm": 0.87890625, + "learning_rate": 0.00024770238818449804, + "loss": 4.9843, + "mean_token_accuracy": 0.22035838961601256, + "num_tokens": 12214361.0, + "step": 5440 + }, + { + "entropy": 5.56159987449646, + "epoch": 5.886965927528394, + "grad_norm": 1.0546875, + "learning_rate": 0.00024727668751645164, + "loss": 5.0753, + "mean_token_accuracy": 0.20683244466781617, + "num_tokens": 12226766.0, + "step": 5445 + }, + { + "entropy": 5.542806959152221, + "epoch": 5.8923742563547865, + "grad_norm": 1.1640625, + "learning_rate": 0.0002468510875949868, + "loss": 4.9784, + "mean_token_accuracy": 0.22004477828741073, + "num_tokens": 12237339.0, + "step": 5450 + }, + { + "entropy": 5.454771566390991, + "epoch": 5.897782585181179, + "grad_norm": 0.95703125, + "learning_rate": 0.00024642558996673474, + "loss": 4.8806, + "mean_token_accuracy": 0.233289235830307, + "num_tokens": 12248567.0, + "step": 5455 + }, + { + "entropy": 5.475730228424072, + "epoch": 5.903190914007571, + "grad_norm": 1.0546875, + "learning_rate": 0.00024600019617795465, + "loss": 4.8715, + "mean_token_accuracy": 0.22850371301174163, + "num_tokens": 12258968.0, + "step": 5460 + }, + { + "entropy": 5.529723405838013, + "epoch": 5.908599242833964, + "grad_norm": 0.94140625, + "learning_rate": 0.0002455749077745288, + "loss": 4.9315, + "mean_token_accuracy": 0.22943497598171234, + "num_tokens": 12271233.0, + "step": 5465 + }, + { + "entropy": 5.481137132644653, + "epoch": 5.914007571660357, + "grad_norm": 1.03125, + "learning_rate": 0.00024514972630195603, + "loss": 4.894, + "mean_token_accuracy": 0.21706456691026688, + "num_tokens": 12280634.0, + "step": 5470 + }, + { + "entropy": 5.46374282836914, + "epoch": 5.91941590048675, + "grad_norm": 0.9765625, + "learning_rate": 0.0002447246533053469, + "loss": 4.9344, + "mean_token_accuracy": 0.2250108987092972, + "num_tokens": 12292282.0, + "step": 5475 + }, + { + "entropy": 5.479931974411011, + "epoch": 5.924824229313142, + "grad_norm": 1.0703125, + "learning_rate": 0.00024429969032941756, + "loss": 4.9556, + "mean_token_accuracy": 0.2212103560566902, + "num_tokens": 12303940.0, + "step": 5480 + }, + { + "entropy": 5.509561538696289, + "epoch": 5.930232558139535, + "grad_norm": 1.1171875, + "learning_rate": 0.00024387483891848456, + "loss": 4.9408, + "mean_token_accuracy": 0.2256838709115982, + "num_tokens": 12315400.0, + "step": 5485 + }, + { + "entropy": 5.5094701766967775, + "epoch": 5.935640886965928, + "grad_norm": 0.91796875, + "learning_rate": 0.00024345010061645889, + "loss": 4.9519, + "mean_token_accuracy": 0.21615981161594391, + "num_tokens": 12327462.0, + "step": 5490 + }, + { + "entropy": 5.516644716262817, + "epoch": 5.9410492157923205, + "grad_norm": 0.9296875, + "learning_rate": 0.00024302547696684047, + "loss": 4.9017, + "mean_token_accuracy": 0.22320225536823274, + "num_tokens": 12338966.0, + "step": 5495 + }, + { + "entropy": 5.397993087768555, + "epoch": 5.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00024260096951271253, + "loss": 4.8006, + "mean_token_accuracy": 0.228230282664299, + "num_tokens": 12349663.0, + "step": 5500 + }, + { + "epoch": 5.9464575446187125, + "eval_entropy": 5.341046702861786, + "eval_loss": 5.824895858764648, + "eval_mean_token_accuracy": 0.18257011164995757, + "eval_num_tokens": 12349663.0, + "eval_runtime": 3.5324, + "eval_samples_per_second": 995.086, + "eval_steps_per_second": 124.563, + "step": 5500 + }, + { + "entropy": 5.416959285736084, + "epoch": 5.951865873445105, + "grad_norm": 0.890625, + "learning_rate": 0.00024217657979673634, + "loss": 4.8534, + "mean_token_accuracy": 0.22373966872692108, + "num_tokens": 12361304.0, + "step": 5505 + }, + { + "entropy": 5.374241685867309, + "epoch": 5.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.00024175230936114507, + "loss": 4.8172, + "mean_token_accuracy": 0.23078879565000535, + "num_tokens": 12372162.0, + "step": 5510 + }, + { + "entropy": 5.468687248229981, + "epoch": 5.962682531097891, + "grad_norm": 0.91015625, + "learning_rate": 0.0002413281597477384, + "loss": 4.8529, + "mean_token_accuracy": 0.22456154525279998, + "num_tokens": 12383916.0, + "step": 5515 + }, + { + "entropy": 5.549963569641113, + "epoch": 5.968090859924283, + "grad_norm": 1.0859375, + "learning_rate": 0.00024090413249787696, + "loss": 4.9632, + "mean_token_accuracy": 0.21773760467767717, + "num_tokens": 12394787.0, + "step": 5520 + }, + { + "entropy": 5.505368185043335, + "epoch": 5.973499188750676, + "grad_norm": 0.99609375, + "learning_rate": 0.0002404802291524768, + "loss": 4.8776, + "mean_token_accuracy": 0.23071094900369643, + "num_tokens": 12405905.0, + "step": 5525 + }, + { + "entropy": 5.4695710182189945, + "epoch": 5.978907517577069, + "grad_norm": 0.9140625, + "learning_rate": 0.00024005645125200375, + "loss": 4.9449, + "mean_token_accuracy": 0.2118888556957245, + "num_tokens": 12416785.0, + "step": 5530 + }, + { + "entropy": 5.4431023597717285, + "epoch": 5.984315846403462, + "grad_norm": 0.96484375, + "learning_rate": 0.0002396328003364675, + "loss": 4.8562, + "mean_token_accuracy": 0.22554307878017427, + "num_tokens": 12427900.0, + "step": 5535 + }, + { + "entropy": 5.566122770309448, + "epoch": 5.9897241752298545, + "grad_norm": 0.9765625, + "learning_rate": 0.00023920927794541665, + "loss": 4.9858, + "mean_token_accuracy": 0.22574359327554702, + "num_tokens": 12439823.0, + "step": 5540 + }, + { + "entropy": 5.481858730316162, + "epoch": 5.995132504056246, + "grad_norm": 0.97265625, + "learning_rate": 0.0002387858856179324, + "loss": 4.9084, + "mean_token_accuracy": 0.21990197598934175, + "num_tokens": 12450988.0, + "step": 5545 + }, + { + "entropy": 5.593845897250706, + "epoch": 6.0, + "grad_norm": 1.59375, + "learning_rate": 0.00023836262489262361, + "loss": 4.9818, + "mean_token_accuracy": 0.2241312480635113, + "num_tokens": 12461334.0, + "step": 5550 + }, + { + "entropy": 5.482817697525024, + "epoch": 6.005408328826393, + "grad_norm": 1.0234375, + "learning_rate": 0.00023793949730762049, + "loss": 4.711, + "mean_token_accuracy": 0.23801302611827851, + "num_tokens": 12473206.0, + "step": 5555 + }, + { + "entropy": 5.48074688911438, + "epoch": 6.010816657652786, + "grad_norm": 0.96484375, + "learning_rate": 0.00023751650440056982, + "loss": 4.8304, + "mean_token_accuracy": 0.22817761451005936, + "num_tokens": 12484247.0, + "step": 5560 + }, + { + "entropy": 5.4692436218261715, + "epoch": 6.016224986479178, + "grad_norm": 1.015625, + "learning_rate": 0.00023709364770862885, + "loss": 4.7426, + "mean_token_accuracy": 0.23947408199310302, + "num_tokens": 12495234.0, + "step": 5565 + }, + { + "entropy": 5.456657409667969, + "epoch": 6.0216333153055706, + "grad_norm": 1.1015625, + "learning_rate": 0.00023667092876845976, + "loss": 4.855, + "mean_token_accuracy": 0.2362171694636345, + "num_tokens": 12506516.0, + "step": 5570 + }, + { + "entropy": 5.474831008911133, + "epoch": 6.027041644131963, + "grad_norm": 1.046875, + "learning_rate": 0.0002362483491162239, + "loss": 4.7585, + "mean_token_accuracy": 0.23608235716819764, + "num_tokens": 12517238.0, + "step": 5575 + }, + { + "entropy": 5.505292367935181, + "epoch": 6.032449972958356, + "grad_norm": 1.0, + "learning_rate": 0.00023582591028757706, + "loss": 4.7658, + "mean_token_accuracy": 0.2349627658724785, + "num_tokens": 12527212.0, + "step": 5580 + }, + { + "entropy": 5.498833179473877, + "epoch": 6.037858301784748, + "grad_norm": 1.140625, + "learning_rate": 0.00023540361381766274, + "loss": 4.7521, + "mean_token_accuracy": 0.24202902466058732, + "num_tokens": 12537939.0, + "step": 5585 + }, + { + "entropy": 5.450468730926514, + "epoch": 6.043266630611141, + "grad_norm": 1.1015625, + "learning_rate": 0.0002349814612411073, + "loss": 4.7608, + "mean_token_accuracy": 0.2359851762652397, + "num_tokens": 12547987.0, + "step": 5590 + }, + { + "entropy": 5.448811483383179, + "epoch": 6.048674959437534, + "grad_norm": 1.078125, + "learning_rate": 0.00023455945409201411, + "loss": 4.7812, + "mean_token_accuracy": 0.22653527408838273, + "num_tokens": 12558505.0, + "step": 5595 + }, + { + "entropy": 5.464963436126709, + "epoch": 6.054083288263927, + "grad_norm": 0.94921875, + "learning_rate": 0.00023413759390395828, + "loss": 4.7156, + "mean_token_accuracy": 0.2361931696534157, + "num_tokens": 12569748.0, + "step": 5600 + }, + { + "entropy": 5.405935955047608, + "epoch": 6.059491617090319, + "grad_norm": 0.97265625, + "learning_rate": 0.0002337158822099807, + "loss": 4.6811, + "mean_token_accuracy": 0.23703676611185073, + "num_tokens": 12581420.0, + "step": 5605 + }, + { + "entropy": 5.496515464782715, + "epoch": 6.064899945916712, + "grad_norm": 0.97265625, + "learning_rate": 0.0002332943205425825, + "loss": 4.7871, + "mean_token_accuracy": 0.23721451163291932, + "num_tokens": 12593781.0, + "step": 5610 + }, + { + "entropy": 5.41494345664978, + "epoch": 6.0703082747431045, + "grad_norm": 0.96875, + "learning_rate": 0.00023287291043371978, + "loss": 4.7303, + "mean_token_accuracy": 0.23353902548551558, + "num_tokens": 12606264.0, + "step": 5615 + }, + { + "entropy": 5.530503511428833, + "epoch": 6.075716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.00023245165341479796, + "loss": 4.7879, + "mean_token_accuracy": 0.23578621298074723, + "num_tokens": 12617419.0, + "step": 5620 + }, + { + "entropy": 5.488958168029785, + "epoch": 6.081124932395889, + "grad_norm": 0.9921875, + "learning_rate": 0.00023203055101666593, + "loss": 4.7215, + "mean_token_accuracy": 0.23366791605949402, + "num_tokens": 12628628.0, + "step": 5625 + }, + { + "entropy": 5.430446004867553, + "epoch": 6.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 0.0002316096047696108, + "loss": 4.7062, + "mean_token_accuracy": 0.236600761115551, + "num_tokens": 12638375.0, + "step": 5630 + }, + { + "entropy": 5.397326183319092, + "epoch": 6.091941590048675, + "grad_norm": 1.0078125, + "learning_rate": 0.0002311888162033522, + "loss": 4.7394, + "mean_token_accuracy": 0.22856123596429825, + "num_tokens": 12649174.0, + "step": 5635 + }, + { + "entropy": 5.44256558418274, + "epoch": 6.097349918875068, + "grad_norm": 1.1171875, + "learning_rate": 0.00023076818684703682, + "loss": 4.699, + "mean_token_accuracy": 0.24027512669563295, + "num_tokens": 12659454.0, + "step": 5640 + }, + { + "entropy": 5.453388214111328, + "epoch": 6.10275824770146, + "grad_norm": 0.890625, + "learning_rate": 0.00023034771822923268, + "loss": 4.7424, + "mean_token_accuracy": 0.23804700821638108, + "num_tokens": 12672093.0, + "step": 5645 + }, + { + "entropy": 5.454080533981323, + "epoch": 6.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0002299274118779236, + "loss": 4.785, + "mean_token_accuracy": 0.2312723308801651, + "num_tokens": 12683628.0, + "step": 5650 + }, + { + "entropy": 5.4466057300567625, + "epoch": 6.113574905354246, + "grad_norm": 1.046875, + "learning_rate": 0.00022950726932050386, + "loss": 4.7334, + "mean_token_accuracy": 0.23570535182952881, + "num_tokens": 12694726.0, + "step": 5655 + }, + { + "entropy": 5.5058012962341305, + "epoch": 6.1189832341806385, + "grad_norm": 1.0234375, + "learning_rate": 0.00022908729208377267, + "loss": 4.7932, + "mean_token_accuracy": 0.23238887786865234, + "num_tokens": 12705292.0, + "step": 5660 + }, + { + "entropy": 5.484908533096314, + "epoch": 6.1243915630070305, + "grad_norm": 0.96484375, + "learning_rate": 0.00022866748169392815, + "loss": 4.7849, + "mean_token_accuracy": 0.23078074902296067, + "num_tokens": 12717721.0, + "step": 5665 + }, + { + "entropy": 5.498049545288086, + "epoch": 6.129799891833423, + "grad_norm": 1.1171875, + "learning_rate": 0.00022824783967656208, + "loss": 4.7845, + "mean_token_accuracy": 0.2278717815876007, + "num_tokens": 12728360.0, + "step": 5670 + }, + { + "entropy": 5.479033756256103, + "epoch": 6.135208220659816, + "grad_norm": 0.99609375, + "learning_rate": 0.00022782836755665475, + "loss": 4.8063, + "mean_token_accuracy": 0.23036560267210007, + "num_tokens": 12739771.0, + "step": 5675 + }, + { + "entropy": 5.458578395843506, + "epoch": 6.140616549486209, + "grad_norm": 0.9921875, + "learning_rate": 0.00022740906685856876, + "loss": 4.7555, + "mean_token_accuracy": 0.23326312750577927, + "num_tokens": 12750024.0, + "step": 5680 + }, + { + "entropy": 5.433383131027222, + "epoch": 6.146024878312601, + "grad_norm": 1.03125, + "learning_rate": 0.00022698993910604383, + "loss": 4.7345, + "mean_token_accuracy": 0.23391510397195817, + "num_tokens": 12761160.0, + "step": 5685 + }, + { + "entropy": 5.495377540588379, + "epoch": 6.151433207138994, + "grad_norm": 1.0, + "learning_rate": 0.000226570985822191, + "loss": 4.7313, + "mean_token_accuracy": 0.24146672785282136, + "num_tokens": 12773043.0, + "step": 5690 + }, + { + "entropy": 5.40164361000061, + "epoch": 6.156841535965387, + "grad_norm": 0.984375, + "learning_rate": 0.00022615220852948765, + "loss": 4.7302, + "mean_token_accuracy": 0.23376860320568085, + "num_tokens": 12783479.0, + "step": 5695 + }, + { + "entropy": 5.515926313400269, + "epoch": 6.16224986479178, + "grad_norm": 0.93359375, + "learning_rate": 0.00022573360874977145, + "loss": 4.8247, + "mean_token_accuracy": 0.23175337463617324, + "num_tokens": 12794889.0, + "step": 5700 + }, + { + "entropy": 5.480621385574341, + "epoch": 6.167658193618172, + "grad_norm": 1.0625, + "learning_rate": 0.00022531518800423484, + "loss": 4.7982, + "mean_token_accuracy": 0.22605834305286407, + "num_tokens": 12806161.0, + "step": 5705 + }, + { + "entropy": 5.527550983428955, + "epoch": 6.173066522444564, + "grad_norm": 0.9609375, + "learning_rate": 0.0002248969478134199, + "loss": 4.8218, + "mean_token_accuracy": 0.23102053105831147, + "num_tokens": 12817829.0, + "step": 5710 + }, + { + "entropy": 5.474001789093018, + "epoch": 6.178474851270957, + "grad_norm": 1.15625, + "learning_rate": 0.00022447888969721232, + "loss": 4.8695, + "mean_token_accuracy": 0.22121107429265977, + "num_tokens": 12828212.0, + "step": 5715 + }, + { + "entropy": 5.518413400650024, + "epoch": 6.18388318009735, + "grad_norm": 1.109375, + "learning_rate": 0.00022406101517483636, + "loss": 4.7935, + "mean_token_accuracy": 0.23179168701171876, + "num_tokens": 12840058.0, + "step": 5720 + }, + { + "entropy": 5.461467647552491, + "epoch": 6.189291508923742, + "grad_norm": 0.88671875, + "learning_rate": 0.00022364332576484897, + "loss": 4.7839, + "mean_token_accuracy": 0.230883426964283, + "num_tokens": 12852833.0, + "step": 5725 + }, + { + "entropy": 5.48510422706604, + "epoch": 6.194699837750135, + "grad_norm": 1.0078125, + "learning_rate": 0.0002232258229851345, + "loss": 4.7751, + "mean_token_accuracy": 0.23518833070993422, + "num_tokens": 12863487.0, + "step": 5730 + }, + { + "entropy": 5.440191650390625, + "epoch": 6.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00022280850835289885, + "loss": 4.6923, + "mean_token_accuracy": 0.23732944577932358, + "num_tokens": 12873952.0, + "step": 5735 + }, + { + "entropy": 5.431076765060425, + "epoch": 6.205516495402921, + "grad_norm": 1.140625, + "learning_rate": 0.00022239138338466452, + "loss": 4.7793, + "mean_token_accuracy": 0.23101767003536225, + "num_tokens": 12884462.0, + "step": 5740 + }, + { + "entropy": 5.446973085403442, + "epoch": 6.210924824229313, + "grad_norm": 1.078125, + "learning_rate": 0.00022197444959626451, + "loss": 4.727, + "mean_token_accuracy": 0.23917102962732315, + "num_tokens": 12894996.0, + "step": 5745 + }, + { + "entropy": 5.430508470535278, + "epoch": 6.2163331530557056, + "grad_norm": 1.0625, + "learning_rate": 0.00022155770850283723, + "loss": 4.7103, + "mean_token_accuracy": 0.2357731357216835, + "num_tokens": 12906256.0, + "step": 5750 + }, + { + "entropy": 5.462933015823364, + "epoch": 6.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.00022114116161882065, + "loss": 4.8337, + "mean_token_accuracy": 0.2271495670080185, + "num_tokens": 12918738.0, + "step": 5755 + }, + { + "entropy": 5.434539031982422, + "epoch": 6.227149810708491, + "grad_norm": 1.0, + "learning_rate": 0.00022072481045794733, + "loss": 4.7419, + "mean_token_accuracy": 0.2339697703719139, + "num_tokens": 12929918.0, + "step": 5760 + }, + { + "entropy": 5.537877035140991, + "epoch": 6.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.00022030865653323823, + "loss": 4.8251, + "mean_token_accuracy": 0.23042406886816025, + "num_tokens": 12941427.0, + "step": 5765 + }, + { + "entropy": 5.459821033477783, + "epoch": 6.237966468361276, + "grad_norm": 0.9921875, + "learning_rate": 0.0002198927013569977, + "loss": 4.755, + "mean_token_accuracy": 0.23522372245788575, + "num_tokens": 12952889.0, + "step": 5770 + }, + { + "entropy": 5.45594425201416, + "epoch": 6.243374797187669, + "grad_norm": 1.0859375, + "learning_rate": 0.0002194769464408076, + "loss": 4.7728, + "mean_token_accuracy": 0.23804499059915543, + "num_tokens": 12962928.0, + "step": 5775 + }, + { + "entropy": 5.472302389144898, + "epoch": 6.248783126014062, + "grad_norm": 1.1484375, + "learning_rate": 0.0002190613932955226, + "loss": 4.7282, + "mean_token_accuracy": 0.24171511083841324, + "num_tokens": 12972901.0, + "step": 5780 + }, + { + "entropy": 5.48187289237976, + "epoch": 6.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00021864604343126365, + "loss": 4.8139, + "mean_token_accuracy": 0.23290316462516786, + "num_tokens": 12985296.0, + "step": 5785 + }, + { + "entropy": 5.538161706924439, + "epoch": 6.259599783666847, + "grad_norm": 0.9921875, + "learning_rate": 0.00021823089835741312, + "loss": 4.881, + "mean_token_accuracy": 0.22790266275405885, + "num_tokens": 12997069.0, + "step": 5790 + }, + { + "entropy": 5.485204887390137, + "epoch": 6.2650081124932395, + "grad_norm": 1.046875, + "learning_rate": 0.000217815959582609, + "loss": 4.7595, + "mean_token_accuracy": 0.23940668255090714, + "num_tokens": 13007147.0, + "step": 5795 + }, + { + "entropy": 5.438343048095703, + "epoch": 6.270416441319632, + "grad_norm": 0.984375, + "learning_rate": 0.00021740122861473992, + "loss": 4.7979, + "mean_token_accuracy": 0.23777374029159545, + "num_tokens": 13019084.0, + "step": 5800 + }, + { + "entropy": 5.5151256084442135, + "epoch": 6.275824770146025, + "grad_norm": 0.93359375, + "learning_rate": 0.00021698670696093932, + "loss": 4.8021, + "mean_token_accuracy": 0.23370311856269838, + "num_tokens": 13030751.0, + "step": 5805 + }, + { + "entropy": 5.4750467300415036, + "epoch": 6.281233098972417, + "grad_norm": 0.98046875, + "learning_rate": 0.00021657239612757963, + "loss": 4.7488, + "mean_token_accuracy": 0.23250595033168792, + "num_tokens": 13042731.0, + "step": 5810 + }, + { + "entropy": 5.464777565002441, + "epoch": 6.28664142779881, + "grad_norm": 1.0546875, + "learning_rate": 0.00021615829762026734, + "loss": 4.7205, + "mean_token_accuracy": 0.23873378783464433, + "num_tokens": 13053442.0, + "step": 5815 + }, + { + "entropy": 5.484056568145752, + "epoch": 6.292049756625203, + "grad_norm": 1.125, + "learning_rate": 0.00021574441294383752, + "loss": 4.7793, + "mean_token_accuracy": 0.2335501179099083, + "num_tokens": 13063911.0, + "step": 5820 + }, + { + "entropy": 5.4915848731994625, + "epoch": 6.297458085451596, + "grad_norm": 0.91796875, + "learning_rate": 0.00021533074360234806, + "loss": 4.8487, + "mean_token_accuracy": 0.22842135578393935, + "num_tokens": 13075887.0, + "step": 5825 + }, + { + "entropy": 5.432464218139648, + "epoch": 6.302866414277988, + "grad_norm": 1.0859375, + "learning_rate": 0.00021491729109907414, + "loss": 4.7111, + "mean_token_accuracy": 0.24290824681520462, + "num_tokens": 13087320.0, + "step": 5830 + }, + { + "entropy": 5.4360270500183105, + "epoch": 6.308274743104381, + "grad_norm": 1.0078125, + "learning_rate": 0.00021450405693650333, + "loss": 4.7483, + "mean_token_accuracy": 0.2368444621562958, + "num_tokens": 13099078.0, + "step": 5835 + }, + { + "entropy": 5.488501501083374, + "epoch": 6.3136830719307735, + "grad_norm": 1.0078125, + "learning_rate": 0.00021409104261632932, + "loss": 4.8415, + "mean_token_accuracy": 0.23506940752267838, + "num_tokens": 13111909.0, + "step": 5840 + }, + { + "entropy": 5.4188000679016115, + "epoch": 6.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.00021367824963944727, + "loss": 4.736, + "mean_token_accuracy": 0.2346210688352585, + "num_tokens": 13123297.0, + "step": 5845 + }, + { + "entropy": 5.407528495788574, + "epoch": 6.324499729583558, + "grad_norm": 1.0078125, + "learning_rate": 0.00021326567950594766, + "loss": 4.7807, + "mean_token_accuracy": 0.23231735378503798, + "num_tokens": 13133959.0, + "step": 5850 + }, + { + "entropy": 5.401265668869018, + "epoch": 6.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.0002128533337151114, + "loss": 4.6422, + "mean_token_accuracy": 0.24409369081258775, + "num_tokens": 13144858.0, + "step": 5855 + }, + { + "entropy": 5.4279073715209964, + "epoch": 6.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.0002124412137654041, + "loss": 4.7921, + "mean_token_accuracy": 0.2318548381328583, + "num_tokens": 13156437.0, + "step": 5860 + }, + { + "entropy": 5.446533298492431, + "epoch": 6.340724716062737, + "grad_norm": 1.046875, + "learning_rate": 0.00021202932115447056, + "loss": 4.7419, + "mean_token_accuracy": 0.24057282507419586, + "num_tokens": 13166860.0, + "step": 5865 + }, + { + "entropy": 5.4611639976501465, + "epoch": 6.346133044889129, + "grad_norm": 1.078125, + "learning_rate": 0.00021161765737912937, + "loss": 4.8228, + "mean_token_accuracy": 0.23280464708805085, + "num_tokens": 13178563.0, + "step": 5870 + }, + { + "entropy": 5.496692562103272, + "epoch": 6.351541373715522, + "grad_norm": 1.0703125, + "learning_rate": 0.00021120622393536775, + "loss": 4.7578, + "mean_token_accuracy": 0.22650425583124162, + "num_tokens": 13189915.0, + "step": 5875 + }, + { + "entropy": 5.509976005554199, + "epoch": 6.356949702541915, + "grad_norm": 1.125, + "learning_rate": 0.00021079502231833585, + "loss": 4.7769, + "mean_token_accuracy": 0.2329890564084053, + "num_tokens": 13201767.0, + "step": 5880 + }, + { + "entropy": 5.455395841598511, + "epoch": 6.3623580313683075, + "grad_norm": 1.1484375, + "learning_rate": 0.00021038405402234116, + "loss": 4.7817, + "mean_token_accuracy": 0.23451150208711624, + "num_tokens": 13212265.0, + "step": 5885 + }, + { + "entropy": 5.424297761917114, + "epoch": 6.367766360194699, + "grad_norm": 0.94140625, + "learning_rate": 0.0002099733205408435, + "loss": 4.8023, + "mean_token_accuracy": 0.23045464754104614, + "num_tokens": 13223503.0, + "step": 5890 + }, + { + "entropy": 5.491450643539428, + "epoch": 6.373174689021092, + "grad_norm": 1.1015625, + "learning_rate": 0.0002095628233664492, + "loss": 4.7904, + "mean_token_accuracy": 0.22897710502147675, + "num_tokens": 13234797.0, + "step": 5895 + }, + { + "entropy": 5.440606880187988, + "epoch": 6.378583017847485, + "grad_norm": 1.046875, + "learning_rate": 0.0002091525639909061, + "loss": 4.7548, + "mean_token_accuracy": 0.2377723589539528, + "num_tokens": 13246421.0, + "step": 5900 + }, + { + "entropy": 5.4440460205078125, + "epoch": 6.383991346673878, + "grad_norm": 0.96875, + "learning_rate": 0.00020874254390509757, + "loss": 4.7624, + "mean_token_accuracy": 0.23135251700878143, + "num_tokens": 13256747.0, + "step": 5905 + }, + { + "entropy": 5.482359123229981, + "epoch": 6.38939967550027, + "grad_norm": 1.1484375, + "learning_rate": 0.00020833276459903766, + "loss": 4.74, + "mean_token_accuracy": 0.23761427402496338, + "num_tokens": 13267620.0, + "step": 5910 + }, + { + "entropy": 5.496868753433228, + "epoch": 6.394808004326663, + "grad_norm": 1.03125, + "learning_rate": 0.0002079232275618651, + "loss": 4.7261, + "mean_token_accuracy": 0.23711277842521666, + "num_tokens": 13277818.0, + "step": 5915 + }, + { + "entropy": 5.354647064208985, + "epoch": 6.400216333153056, + "grad_norm": 1.0546875, + "learning_rate": 0.0002075139342818388, + "loss": 4.6986, + "mean_token_accuracy": 0.2438313126564026, + "num_tokens": 13289905.0, + "step": 5920 + }, + { + "entropy": 5.426370525360108, + "epoch": 6.405624661979449, + "grad_norm": 0.92578125, + "learning_rate": 0.00020710488624633118, + "loss": 4.6988, + "mean_token_accuracy": 0.23948602080345155, + "num_tokens": 13302465.0, + "step": 5925 + }, + { + "entropy": 5.454558897018432, + "epoch": 6.411032990805841, + "grad_norm": 1.078125, + "learning_rate": 0.00020669608494182384, + "loss": 4.7905, + "mean_token_accuracy": 0.2280614882707596, + "num_tokens": 13314366.0, + "step": 5930 + }, + { + "entropy": 5.339557838439942, + "epoch": 6.416441319632233, + "grad_norm": 1.0078125, + "learning_rate": 0.00020628753185390164, + "loss": 4.639, + "mean_token_accuracy": 0.24252013713121415, + "num_tokens": 13324981.0, + "step": 5935 + }, + { + "entropy": 5.456610202789307, + "epoch": 6.421849648458626, + "grad_norm": 1.015625, + "learning_rate": 0.0002058792284672475, + "loss": 4.7473, + "mean_token_accuracy": 0.234878046810627, + "num_tokens": 13335705.0, + "step": 5940 + }, + { + "entropy": 5.3233154296875, + "epoch": 6.427257977285019, + "grad_norm": 1.015625, + "learning_rate": 0.0002054711762656369, + "loss": 4.6921, + "mean_token_accuracy": 0.23819227814674376, + "num_tokens": 13346515.0, + "step": 5945 + }, + { + "entropy": 5.402464580535889, + "epoch": 6.432666306111411, + "grad_norm": 1.0078125, + "learning_rate": 0.00020506337673193236, + "loss": 4.7412, + "mean_token_accuracy": 0.23467027246952057, + "num_tokens": 13357780.0, + "step": 5950 + }, + { + "entropy": 5.4471968650817875, + "epoch": 6.438074634937804, + "grad_norm": 0.98828125, + "learning_rate": 0.00020465583134807836, + "loss": 4.7435, + "mean_token_accuracy": 0.24032192826271057, + "num_tokens": 13369549.0, + "step": 5955 + }, + { + "entropy": 5.520180511474609, + "epoch": 6.443482963764197, + "grad_norm": 1.0390625, + "learning_rate": 0.00020424854159509587, + "loss": 4.8087, + "mean_token_accuracy": 0.2298721730709076, + "num_tokens": 13380259.0, + "step": 5960 + }, + { + "entropy": 5.495610284805298, + "epoch": 6.44889129259059, + "grad_norm": 1.171875, + "learning_rate": 0.0002038415089530767, + "loss": 4.8364, + "mean_token_accuracy": 0.2270108386874199, + "num_tokens": 13392049.0, + "step": 5965 + }, + { + "entropy": 5.467788505554199, + "epoch": 6.4542996214169825, + "grad_norm": 1.09375, + "learning_rate": 0.00020343473490117846, + "loss": 4.7871, + "mean_token_accuracy": 0.22844729274511338, + "num_tokens": 13403874.0, + "step": 5970 + }, + { + "entropy": 5.432657051086426, + "epoch": 6.4597079502433745, + "grad_norm": 1.1171875, + "learning_rate": 0.00020302822091761884, + "loss": 4.7664, + "mean_token_accuracy": 0.2360194906592369, + "num_tokens": 13415194.0, + "step": 5975 + }, + { + "entropy": 5.463835048675537, + "epoch": 6.465116279069767, + "grad_norm": 1.203125, + "learning_rate": 0.00020262196847967091, + "loss": 4.7913, + "mean_token_accuracy": 0.23191041946411134, + "num_tokens": 13425159.0, + "step": 5980 + }, + { + "entropy": 5.454825782775879, + "epoch": 6.47052460789616, + "grad_norm": 0.98828125, + "learning_rate": 0.00020221597906365667, + "loss": 4.7798, + "mean_token_accuracy": 0.23226822465658187, + "num_tokens": 13437279.0, + "step": 5985 + }, + { + "entropy": 5.478639888763428, + "epoch": 6.475932936722553, + "grad_norm": 0.95703125, + "learning_rate": 0.00020181025414494285, + "loss": 4.7898, + "mean_token_accuracy": 0.2360480844974518, + "num_tokens": 13449170.0, + "step": 5990 + }, + { + "entropy": 5.514584064483643, + "epoch": 6.481341265548945, + "grad_norm": 1.0546875, + "learning_rate": 0.0002014047951979344, + "loss": 4.8438, + "mean_token_accuracy": 0.22370945364236833, + "num_tokens": 13460216.0, + "step": 5995 + }, + { + "entropy": 5.464205169677735, + "epoch": 6.486749594375338, + "grad_norm": 1.0625, + "learning_rate": 0.0002009996036960704, + "loss": 4.7955, + "mean_token_accuracy": 0.2337394878268242, + "num_tokens": 13470468.0, + "step": 6000 + }, + { + "epoch": 6.486749594375338, + "eval_entropy": 5.356367090615359, + "eval_loss": 5.836918830871582, + "eval_mean_token_accuracy": 0.18327153573997995, + "eval_num_tokens": 13470468.0, + "eval_runtime": 3.5524, + "eval_samples_per_second": 989.467, + "eval_steps_per_second": 123.859, + "step": 6000 + }, + { + "entropy": 5.4838872909545895, + "epoch": 6.492157923201731, + "grad_norm": 0.9765625, + "learning_rate": 0.00020059468111181757, + "loss": 4.8355, + "mean_token_accuracy": 0.2325873091816902, + "num_tokens": 13482690.0, + "step": 6005 + }, + { + "entropy": 5.377634334564209, + "epoch": 6.497566252028124, + "grad_norm": 1.0, + "learning_rate": 0.00020019002891666555, + "loss": 4.7039, + "mean_token_accuracy": 0.24070921093225478, + "num_tokens": 13494806.0, + "step": 6010 + }, + { + "entropy": 5.371237802505493, + "epoch": 6.502974580854516, + "grad_norm": 1.03125, + "learning_rate": 0.00019978564858112125, + "loss": 4.7015, + "mean_token_accuracy": 0.24223154485225679, + "num_tokens": 13506968.0, + "step": 6015 + }, + { + "entropy": 5.492704820632935, + "epoch": 6.5083829096809085, + "grad_norm": 1.03125, + "learning_rate": 0.00019938154157470378, + "loss": 4.8381, + "mean_token_accuracy": 0.2364162266254425, + "num_tokens": 13518817.0, + "step": 6020 + }, + { + "entropy": 5.4859953880310055, + "epoch": 6.513791238507301, + "grad_norm": 1.0859375, + "learning_rate": 0.00019897770936593912, + "loss": 4.7452, + "mean_token_accuracy": 0.24185479283332825, + "num_tokens": 13529054.0, + "step": 6025 + }, + { + "entropy": 5.4339841365814205, + "epoch": 6.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.0001985741534223543, + "loss": 4.7583, + "mean_token_accuracy": 0.23412617295980453, + "num_tokens": 13540462.0, + "step": 6030 + }, + { + "entropy": 5.528876304626465, + "epoch": 6.524607896160086, + "grad_norm": 1.1640625, + "learning_rate": 0.00019817087521047244, + "loss": 4.8767, + "mean_token_accuracy": 0.22286273241043092, + "num_tokens": 13551949.0, + "step": 6035 + }, + { + "entropy": 5.508295059204102, + "epoch": 6.530016224986479, + "grad_norm": 1.0078125, + "learning_rate": 0.00019776787619580767, + "loss": 4.8043, + "mean_token_accuracy": 0.23924179673194884, + "num_tokens": 13562567.0, + "step": 6040 + }, + { + "entropy": 5.43859338760376, + "epoch": 6.535424553812872, + "grad_norm": 1.1484375, + "learning_rate": 0.0001973651578428593, + "loss": 4.7628, + "mean_token_accuracy": 0.23885137885808944, + "num_tokens": 13573696.0, + "step": 6045 + }, + { + "entropy": 5.490781259536743, + "epoch": 6.540832882639265, + "grad_norm": 1.046875, + "learning_rate": 0.00019696272161510663, + "loss": 4.8612, + "mean_token_accuracy": 0.22521820068359374, + "num_tokens": 13585941.0, + "step": 6050 + }, + { + "entropy": 5.4247150897979735, + "epoch": 6.546241211465657, + "grad_norm": 1.09375, + "learning_rate": 0.00019656056897500408, + "loss": 4.6436, + "mean_token_accuracy": 0.2483742877840996, + "num_tokens": 13597665.0, + "step": 6055 + }, + { + "entropy": 5.382246017456055, + "epoch": 6.55164954029205, + "grad_norm": 1.15625, + "learning_rate": 0.00019615870138397506, + "loss": 4.7428, + "mean_token_accuracy": 0.229461170732975, + "num_tokens": 13608732.0, + "step": 6060 + }, + { + "entropy": 5.559137582778931, + "epoch": 6.5570578691184425, + "grad_norm": 1.1328125, + "learning_rate": 0.0001957571203024075, + "loss": 4.8794, + "mean_token_accuracy": 0.2277083858847618, + "num_tokens": 13620710.0, + "step": 6065 + }, + { + "entropy": 5.4016365051269535, + "epoch": 6.562466197944835, + "grad_norm": 1.0234375, + "learning_rate": 0.00019535582718964773, + "loss": 4.7, + "mean_token_accuracy": 0.22991207093000413, + "num_tokens": 13632157.0, + "step": 6070 + }, + { + "entropy": 5.468547010421753, + "epoch": 6.567874526771227, + "grad_norm": 1.078125, + "learning_rate": 0.00019495482350399612, + "loss": 4.721, + "mean_token_accuracy": 0.2484972819685936, + "num_tokens": 13642833.0, + "step": 6075 + }, + { + "entropy": 5.477743625640869, + "epoch": 6.57328285559762, + "grad_norm": 1.0703125, + "learning_rate": 0.0001945541107027009, + "loss": 4.8397, + "mean_token_accuracy": 0.23110663294792175, + "num_tokens": 13654985.0, + "step": 6080 + }, + { + "entropy": 5.4450866222381595, + "epoch": 6.578691184424013, + "grad_norm": 1.046875, + "learning_rate": 0.0001941536902419533, + "loss": 4.785, + "mean_token_accuracy": 0.23091002255678178, + "num_tokens": 13666180.0, + "step": 6085 + }, + { + "entropy": 5.426376247406006, + "epoch": 6.584099513250406, + "grad_norm": 0.97265625, + "learning_rate": 0.00019375356357688206, + "loss": 4.7357, + "mean_token_accuracy": 0.24122271835803985, + "num_tokens": 13677993.0, + "step": 6090 + }, + { + "entropy": 5.533717823028565, + "epoch": 6.589507842076799, + "grad_norm": 1.203125, + "learning_rate": 0.00019335373216154862, + "loss": 4.8881, + "mean_token_accuracy": 0.23069773763418197, + "num_tokens": 13687427.0, + "step": 6095 + }, + { + "entropy": 5.422270774841309, + "epoch": 6.594916170903191, + "grad_norm": 1.1171875, + "learning_rate": 0.00019295419744894116, + "loss": 4.7115, + "mean_token_accuracy": 0.24273773580789565, + "num_tokens": 13698255.0, + "step": 6100 + }, + { + "entropy": 5.492586517333985, + "epoch": 6.600324499729584, + "grad_norm": 0.98828125, + "learning_rate": 0.00019255496089096985, + "loss": 4.8158, + "mean_token_accuracy": 0.22930402904748917, + "num_tokens": 13710471.0, + "step": 6105 + }, + { + "entropy": 5.522595310211182, + "epoch": 6.605732828555976, + "grad_norm": 1.0390625, + "learning_rate": 0.00019215602393846104, + "loss": 4.9235, + "mean_token_accuracy": 0.227778759598732, + "num_tokens": 13721605.0, + "step": 6110 + }, + { + "entropy": 5.461326646804809, + "epoch": 6.611141157382368, + "grad_norm": 1.0703125, + "learning_rate": 0.00019175738804115279, + "loss": 4.7891, + "mean_token_accuracy": 0.2319536179304123, + "num_tokens": 13732639.0, + "step": 6115 + }, + { + "entropy": 5.454809093475342, + "epoch": 6.616549486208761, + "grad_norm": 1.09375, + "learning_rate": 0.00019135905464768882, + "loss": 4.7584, + "mean_token_accuracy": 0.23282596617937087, + "num_tokens": 13743644.0, + "step": 6120 + }, + { + "entropy": 5.429327869415284, + "epoch": 6.621957815035154, + "grad_norm": 0.99609375, + "learning_rate": 0.00019096102520561344, + "loss": 4.6881, + "mean_token_accuracy": 0.24907640665769576, + "num_tokens": 13754887.0, + "step": 6125 + }, + { + "entropy": 5.459971714019775, + "epoch": 6.627366143861547, + "grad_norm": 1.125, + "learning_rate": 0.00019056330116136666, + "loss": 4.8665, + "mean_token_accuracy": 0.23227984756231307, + "num_tokens": 13766267.0, + "step": 6130 + }, + { + "entropy": 5.479209947586059, + "epoch": 6.63277447268794, + "grad_norm": 1.078125, + "learning_rate": 0.00019016588396027862, + "loss": 4.785, + "mean_token_accuracy": 0.22960527539253234, + "num_tokens": 13776532.0, + "step": 6135 + }, + { + "entropy": 5.446014642715454, + "epoch": 6.638182801514332, + "grad_norm": 1.0546875, + "learning_rate": 0.00018976877504656438, + "loss": 4.7252, + "mean_token_accuracy": 0.23457733541727066, + "num_tokens": 13787511.0, + "step": 6140 + }, + { + "entropy": 5.418573427200317, + "epoch": 6.643591130340725, + "grad_norm": 1.015625, + "learning_rate": 0.0001893719758633185, + "loss": 4.7603, + "mean_token_accuracy": 0.23951076716184616, + "num_tokens": 13799264.0, + "step": 6145 + }, + { + "entropy": 5.492339086532593, + "epoch": 6.6489994591671175, + "grad_norm": 1.0546875, + "learning_rate": 0.00018897548785251018, + "loss": 4.8451, + "mean_token_accuracy": 0.22612449377775193, + "num_tokens": 13810271.0, + "step": 6150 + }, + { + "entropy": 5.461274480819702, + "epoch": 6.6544077879935095, + "grad_norm": 1.1328125, + "learning_rate": 0.0001885793124549779, + "loss": 4.7764, + "mean_token_accuracy": 0.23858335763216018, + "num_tokens": 13820980.0, + "step": 6155 + }, + { + "entropy": 5.525525903701782, + "epoch": 6.659816116819902, + "grad_norm": 1.0390625, + "learning_rate": 0.00018818345111042383, + "loss": 4.9345, + "mean_token_accuracy": 0.2248729422688484, + "num_tokens": 13832522.0, + "step": 6160 + }, + { + "entropy": 5.425912666320801, + "epoch": 6.665224445646295, + "grad_norm": 1.1328125, + "learning_rate": 0.00018778790525740907, + "loss": 4.7193, + "mean_token_accuracy": 0.2379765972495079, + "num_tokens": 13844453.0, + "step": 6165 + }, + { + "entropy": 5.52116117477417, + "epoch": 6.670632774472688, + "grad_norm": 0.9375, + "learning_rate": 0.00018739267633334806, + "loss": 4.8558, + "mean_token_accuracy": 0.22124128192663192, + "num_tokens": 13856776.0, + "step": 6170 + }, + { + "entropy": 5.443723726272583, + "epoch": 6.676041103299081, + "grad_norm": 0.98828125, + "learning_rate": 0.00018699776577450378, + "loss": 4.7637, + "mean_token_accuracy": 0.2337685525417328, + "num_tokens": 13868050.0, + "step": 6175 + }, + { + "entropy": 5.492089128494262, + "epoch": 6.681449432125473, + "grad_norm": 1.0078125, + "learning_rate": 0.00018660317501598212, + "loss": 4.8518, + "mean_token_accuracy": 0.22990886569023133, + "num_tokens": 13879866.0, + "step": 6180 + }, + { + "entropy": 5.48423171043396, + "epoch": 6.686857760951866, + "grad_norm": 0.91796875, + "learning_rate": 0.0001862089054917266, + "loss": 4.7604, + "mean_token_accuracy": 0.22882692217826844, + "num_tokens": 13891782.0, + "step": 6185 + }, + { + "entropy": 5.454492902755737, + "epoch": 6.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.0001858149586345137, + "loss": 4.8486, + "mean_token_accuracy": 0.2267652705311775, + "num_tokens": 13903587.0, + "step": 6190 + }, + { + "entropy": 5.487734699249268, + "epoch": 6.6976744186046515, + "grad_norm": 1.1171875, + "learning_rate": 0.00018542133587594735, + "loss": 4.7559, + "mean_token_accuracy": 0.23566682040691375, + "num_tokens": 13914921.0, + "step": 6195 + }, + { + "entropy": 5.510404586791992, + "epoch": 6.7030827474310435, + "grad_norm": 1.1171875, + "learning_rate": 0.00018502803864645334, + "loss": 4.7447, + "mean_token_accuracy": 0.23118012845516206, + "num_tokens": 13925412.0, + "step": 6200 + }, + { + "entropy": 5.485953426361084, + "epoch": 6.708491076257436, + "grad_norm": 1.03125, + "learning_rate": 0.00018463506837527484, + "loss": 4.7566, + "mean_token_accuracy": 0.23713926672935487, + "num_tokens": 13935783.0, + "step": 6205 + }, + { + "entropy": 5.3922570705413815, + "epoch": 6.713899405083829, + "grad_norm": 1.2421875, + "learning_rate": 0.00018424242649046663, + "loss": 4.7659, + "mean_token_accuracy": 0.23707763850688934, + "num_tokens": 13945233.0, + "step": 6210 + }, + { + "entropy": 5.48021879196167, + "epoch": 6.719307733910222, + "grad_norm": 1.046875, + "learning_rate": 0.00018385011441889037, + "loss": 4.7698, + "mean_token_accuracy": 0.2360626772046089, + "num_tokens": 13955411.0, + "step": 6215 + }, + { + "entropy": 5.523493337631225, + "epoch": 6.724716062736614, + "grad_norm": 1.0390625, + "learning_rate": 0.00018345813358620894, + "loss": 4.9065, + "mean_token_accuracy": 0.2244351848959923, + "num_tokens": 13966607.0, + "step": 6220 + }, + { + "entropy": 5.546255588531494, + "epoch": 6.730124391563007, + "grad_norm": 0.9921875, + "learning_rate": 0.0001830664854168816, + "loss": 4.8721, + "mean_token_accuracy": 0.2342979833483696, + "num_tokens": 13978122.0, + "step": 6225 + }, + { + "entropy": 5.48574800491333, + "epoch": 6.7355327203894, + "grad_norm": 1.046875, + "learning_rate": 0.00018267517133415862, + "loss": 4.7914, + "mean_token_accuracy": 0.2378652423620224, + "num_tokens": 13989301.0, + "step": 6230 + }, + { + "entropy": 5.593584823608398, + "epoch": 6.740941049215793, + "grad_norm": 1.0625, + "learning_rate": 0.00018228419276007646, + "loss": 4.8879, + "mean_token_accuracy": 0.22455106675624847, + "num_tokens": 14000674.0, + "step": 6235 + }, + { + "entropy": 5.466882848739624, + "epoch": 6.746349378042185, + "grad_norm": 1.171875, + "learning_rate": 0.00018189355111545208, + "loss": 4.7649, + "mean_token_accuracy": 0.22919233441352843, + "num_tokens": 14012884.0, + "step": 6240 + }, + { + "entropy": 5.408292770385742, + "epoch": 6.7517577068685775, + "grad_norm": 1.0546875, + "learning_rate": 0.0001815032478198781, + "loss": 4.7689, + "mean_token_accuracy": 0.22624011039733888, + "num_tokens": 14023624.0, + "step": 6245 + }, + { + "entropy": 5.501367807388306, + "epoch": 6.75716603569497, + "grad_norm": 1.0390625, + "learning_rate": 0.00018111328429171747, + "loss": 4.8435, + "mean_token_accuracy": 0.22636697590351104, + "num_tokens": 14034873.0, + "step": 6250 + }, + { + "entropy": 5.493204069137573, + "epoch": 6.762574364521363, + "grad_norm": 1.0859375, + "learning_rate": 0.00018072366194809886, + "loss": 4.7605, + "mean_token_accuracy": 0.2378583535552025, + "num_tokens": 14045707.0, + "step": 6255 + }, + { + "entropy": 5.450195169448852, + "epoch": 6.767982693347756, + "grad_norm": 1.0546875, + "learning_rate": 0.00018033438220491055, + "loss": 4.8147, + "mean_token_accuracy": 0.24106226861476898, + "num_tokens": 14056774.0, + "step": 6260 + }, + { + "entropy": 5.395016431808472, + "epoch": 6.773391022174148, + "grad_norm": 1.1328125, + "learning_rate": 0.000179945446476796, + "loss": 4.6921, + "mean_token_accuracy": 0.24216643571853638, + "num_tokens": 14067358.0, + "step": 6265 + }, + { + "entropy": 5.455972051620483, + "epoch": 6.778799351000541, + "grad_norm": 1.0625, + "learning_rate": 0.00017955685617714867, + "loss": 4.7687, + "mean_token_accuracy": 0.23320888876914977, + "num_tokens": 14078336.0, + "step": 6270 + }, + { + "entropy": 5.525402450561524, + "epoch": 6.784207679826934, + "grad_norm": 0.98046875, + "learning_rate": 0.0001791686127181066, + "loss": 4.9202, + "mean_token_accuracy": 0.22177284806966782, + "num_tokens": 14091700.0, + "step": 6275 + }, + { + "entropy": 5.496983194351197, + "epoch": 6.789616008653326, + "grad_norm": 0.92578125, + "learning_rate": 0.00017878071751054736, + "loss": 4.837, + "mean_token_accuracy": 0.22447920441627503, + "num_tokens": 14103322.0, + "step": 6280 + }, + { + "entropy": 5.5157805442810055, + "epoch": 6.795024337479719, + "grad_norm": 1.09375, + "learning_rate": 0.00017839317196408305, + "loss": 4.8589, + "mean_token_accuracy": 0.2351175755262375, + "num_tokens": 14114758.0, + "step": 6285 + }, + { + "entropy": 5.3984763622283936, + "epoch": 6.800432666306111, + "grad_norm": 1.0625, + "learning_rate": 0.00017800597748705494, + "loss": 4.6811, + "mean_token_accuracy": 0.2468650996685028, + "num_tokens": 14124935.0, + "step": 6290 + }, + { + "entropy": 5.423747539520264, + "epoch": 6.805840995132504, + "grad_norm": 1.0, + "learning_rate": 0.0001776191354865289, + "loss": 4.7441, + "mean_token_accuracy": 0.24243067800998688, + "num_tokens": 14136102.0, + "step": 6295 + }, + { + "entropy": 5.47675724029541, + "epoch": 6.811249323958897, + "grad_norm": 1.0546875, + "learning_rate": 0.00017723264736828952, + "loss": 4.7482, + "mean_token_accuracy": 0.24305145889520646, + "num_tokens": 14147042.0, + "step": 6300 + }, + { + "entropy": 5.3783485889434814, + "epoch": 6.816657652785289, + "grad_norm": 1.140625, + "learning_rate": 0.00017684651453683554, + "loss": 4.6729, + "mean_token_accuracy": 0.24017125219106675, + "num_tokens": 14158045.0, + "step": 6305 + }, + { + "entropy": 5.419600963592529, + "epoch": 6.822065981611682, + "grad_norm": 1.125, + "learning_rate": 0.00017646073839537458, + "loss": 4.7921, + "mean_token_accuracy": 0.23383526057004927, + "num_tokens": 14169815.0, + "step": 6310 + }, + { + "entropy": 5.400470495223999, + "epoch": 6.827474310438075, + "grad_norm": 1.140625, + "learning_rate": 0.00017607532034581797, + "loss": 4.753, + "mean_token_accuracy": 0.22974225133657455, + "num_tokens": 14179965.0, + "step": 6315 + }, + { + "entropy": 5.536269664764404, + "epoch": 6.832882639264467, + "grad_norm": 1.1015625, + "learning_rate": 0.00017569026178877584, + "loss": 4.8555, + "mean_token_accuracy": 0.23882761746644973, + "num_tokens": 14191142.0, + "step": 6320 + }, + { + "entropy": 5.507011890411377, + "epoch": 6.83829096809086, + "grad_norm": 1.0390625, + "learning_rate": 0.0001753055641235519, + "loss": 4.7463, + "mean_token_accuracy": 0.2407160997390747, + "num_tokens": 14201765.0, + "step": 6325 + }, + { + "entropy": 5.463215494155884, + "epoch": 6.8436992969172525, + "grad_norm": 1.109375, + "learning_rate": 0.00017492122874813824, + "loss": 4.802, + "mean_token_accuracy": 0.23131725937128067, + "num_tokens": 14211995.0, + "step": 6330 + }, + { + "entropy": 5.5310859203338625, + "epoch": 6.849107625743645, + "grad_norm": 1.015625, + "learning_rate": 0.0001745372570592107, + "loss": 4.9147, + "mean_token_accuracy": 0.21638796478509903, + "num_tokens": 14225488.0, + "step": 6335 + }, + { + "entropy": 5.4645874977111815, + "epoch": 6.854515954570038, + "grad_norm": 1.0546875, + "learning_rate": 0.00017415365045212312, + "loss": 4.7541, + "mean_token_accuracy": 0.23150826692581178, + "num_tokens": 14237459.0, + "step": 6340 + }, + { + "entropy": 5.497331428527832, + "epoch": 6.85992428339643, + "grad_norm": 1.0625, + "learning_rate": 0.00017377041032090278, + "loss": 4.8308, + "mean_token_accuracy": 0.22778917849063873, + "num_tokens": 14248136.0, + "step": 6345 + }, + { + "entropy": 5.493479537963867, + "epoch": 6.865332612222823, + "grad_norm": 1.078125, + "learning_rate": 0.00017338753805824536, + "loss": 4.8375, + "mean_token_accuracy": 0.22441824078559874, + "num_tokens": 14260239.0, + "step": 6350 + }, + { + "entropy": 5.397213077545166, + "epoch": 6.870740941049216, + "grad_norm": 0.93359375, + "learning_rate": 0.00017300503505550939, + "loss": 4.7386, + "mean_token_accuracy": 0.23439123779535292, + "num_tokens": 14271825.0, + "step": 6355 + }, + { + "entropy": 5.371894598007202, + "epoch": 6.876149269875609, + "grad_norm": 1.0546875, + "learning_rate": 0.00017262290270271175, + "loss": 4.6615, + "mean_token_accuracy": 0.24698663353919983, + "num_tokens": 14282517.0, + "step": 6360 + }, + { + "entropy": 5.514883232116699, + "epoch": 6.881557598702001, + "grad_norm": 1.09375, + "learning_rate": 0.00017224114238852234, + "loss": 4.8437, + "mean_token_accuracy": 0.23700363636016847, + "num_tokens": 14293548.0, + "step": 6365 + }, + { + "entropy": 5.458508491516113, + "epoch": 6.886965927528394, + "grad_norm": 0.99609375, + "learning_rate": 0.0001718597555002588, + "loss": 4.8109, + "mean_token_accuracy": 0.2287731185555458, + "num_tokens": 14305782.0, + "step": 6370 + }, + { + "entropy": 5.464990663528442, + "epoch": 6.8923742563547865, + "grad_norm": 1.015625, + "learning_rate": 0.00017147874342388227, + "loss": 4.7446, + "mean_token_accuracy": 0.23635595589876174, + "num_tokens": 14315968.0, + "step": 6375 + }, + { + "entropy": 5.484697961807251, + "epoch": 6.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0001710981075439913, + "loss": 4.7885, + "mean_token_accuracy": 0.23122970163822174, + "num_tokens": 14327579.0, + "step": 6380 + }, + { + "entropy": 5.556122732162476, + "epoch": 6.903190914007571, + "grad_norm": 1.0390625, + "learning_rate": 0.00017071784924381766, + "loss": 4.8536, + "mean_token_accuracy": 0.22923520505428313, + "num_tokens": 14338620.0, + "step": 6385 + }, + { + "entropy": 5.435343933105469, + "epoch": 6.908599242833964, + "grad_norm": 1.078125, + "learning_rate": 0.00017033796990522081, + "loss": 4.736, + "mean_token_accuracy": 0.23136261701583863, + "num_tokens": 14348638.0, + "step": 6390 + }, + { + "entropy": 5.469294881820678, + "epoch": 6.914007571660357, + "grad_norm": 1.109375, + "learning_rate": 0.00016995847090868322, + "loss": 4.8066, + "mean_token_accuracy": 0.23570748418569565, + "num_tokens": 14359253.0, + "step": 6395 + }, + { + "entropy": 5.488160896301269, + "epoch": 6.91941590048675, + "grad_norm": 1.0703125, + "learning_rate": 0.00016957935363330506, + "loss": 4.7846, + "mean_token_accuracy": 0.23263452798128129, + "num_tokens": 14370659.0, + "step": 6400 + }, + { + "entropy": 5.467180585861206, + "epoch": 6.924824229313142, + "grad_norm": 1.125, + "learning_rate": 0.00016920061945679951, + "loss": 4.8172, + "mean_token_accuracy": 0.22805383503437043, + "num_tokens": 14381136.0, + "step": 6405 + }, + { + "entropy": 5.463050317764282, + "epoch": 6.930232558139535, + "grad_norm": 0.99609375, + "learning_rate": 0.0001688222697554872, + "loss": 4.8262, + "mean_token_accuracy": 0.22429136484861373, + "num_tokens": 14392789.0, + "step": 6410 + }, + { + "entropy": 5.463587474822998, + "epoch": 6.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.000168444305904292, + "loss": 4.7404, + "mean_token_accuracy": 0.23504639863967897, + "num_tokens": 14402808.0, + "step": 6415 + }, + { + "entropy": 5.518123960494995, + "epoch": 6.9410492157923205, + "grad_norm": 1.046875, + "learning_rate": 0.00016806672927673552, + "loss": 4.8328, + "mean_token_accuracy": 0.22986545860767366, + "num_tokens": 14413961.0, + "step": 6420 + }, + { + "entropy": 5.479937028884888, + "epoch": 6.9464575446187125, + "grad_norm": 1.15625, + "learning_rate": 0.00016768954124493188, + "loss": 4.7478, + "mean_token_accuracy": 0.2352260708808899, + "num_tokens": 14424416.0, + "step": 6425 + }, + { + "entropy": 5.5164111137390135, + "epoch": 6.951865873445105, + "grad_norm": 1.125, + "learning_rate": 0.00016731274317958333, + "loss": 4.8971, + "mean_token_accuracy": 0.22941209524869918, + "num_tokens": 14435771.0, + "step": 6430 + }, + { + "entropy": 5.4186872959136965, + "epoch": 6.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.0001669363364499749, + "loss": 4.73, + "mean_token_accuracy": 0.23911819905042647, + "num_tokens": 14447106.0, + "step": 6435 + }, + { + "entropy": 5.442362308502197, + "epoch": 6.962682531097891, + "grad_norm": 1.03125, + "learning_rate": 0.00016656032242396958, + "loss": 4.8122, + "mean_token_accuracy": 0.2302314579486847, + "num_tokens": 14458698.0, + "step": 6440 + }, + { + "entropy": 5.453445291519165, + "epoch": 6.968090859924283, + "grad_norm": 1.078125, + "learning_rate": 0.00016618470246800322, + "loss": 4.7455, + "mean_token_accuracy": 0.23800296932458878, + "num_tokens": 14469440.0, + "step": 6445 + }, + { + "entropy": 5.490810489654541, + "epoch": 6.973499188750676, + "grad_norm": 1.1015625, + "learning_rate": 0.00016580947794707937, + "loss": 4.8024, + "mean_token_accuracy": 0.24103218615055083, + "num_tokens": 14480256.0, + "step": 6450 + }, + { + "entropy": 5.470514965057373, + "epoch": 6.978907517577069, + "grad_norm": 1.046875, + "learning_rate": 0.00016543465022476512, + "loss": 4.8481, + "mean_token_accuracy": 0.23317314237356185, + "num_tokens": 14492347.0, + "step": 6455 + }, + { + "entropy": 5.454502725601197, + "epoch": 6.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0001650602206631852, + "loss": 4.7853, + "mean_token_accuracy": 0.22942974418401718, + "num_tokens": 14503492.0, + "step": 6460 + }, + { + "entropy": 5.506963491439819, + "epoch": 6.9897241752298545, + "grad_norm": 1.09375, + "learning_rate": 0.00016468619062301739, + "loss": 4.9144, + "mean_token_accuracy": 0.2240392178297043, + "num_tokens": 14515843.0, + "step": 6465 + }, + { + "entropy": 5.422661304473877, + "epoch": 6.995132504056246, + "grad_norm": 1.1171875, + "learning_rate": 0.0001643125614634877, + "loss": 4.7668, + "mean_token_accuracy": 0.22867323458194733, + "num_tokens": 14526733.0, + "step": 6470 + }, + { + "entropy": 5.484320746527778, + "epoch": 7.0, + "grad_norm": 2.09375, + "learning_rate": 0.0001639393345423656, + "loss": 4.9156, + "mean_token_accuracy": 0.22375796569718254, + "num_tokens": 14538223.0, + "step": 6475 + }, + { + "entropy": 5.473077964782715, + "epoch": 7.005408328826393, + "grad_norm": 0.9921875, + "learning_rate": 0.00016356651121595832, + "loss": 4.6896, + "mean_token_accuracy": 0.23437674343585968, + "num_tokens": 14549388.0, + "step": 6480 + }, + { + "entropy": 5.507199287414551, + "epoch": 7.010816657652786, + "grad_norm": 1.078125, + "learning_rate": 0.0001631940928391068, + "loss": 4.7129, + "mean_token_accuracy": 0.23249671310186387, + "num_tokens": 14561300.0, + "step": 6485 + }, + { + "entropy": 5.418299865722656, + "epoch": 7.016224986479178, + "grad_norm": 1.1328125, + "learning_rate": 0.00016282208076518032, + "loss": 4.6235, + "mean_token_accuracy": 0.24409482777118682, + "num_tokens": 14573169.0, + "step": 6490 + }, + { + "entropy": 5.460235691070556, + "epoch": 7.0216333153055706, + "grad_norm": 1.09375, + "learning_rate": 0.00016245047634607155, + "loss": 4.7435, + "mean_token_accuracy": 0.23163942545652388, + "num_tokens": 14585035.0, + "step": 6495 + }, + { + "entropy": 5.408029985427857, + "epoch": 7.027041644131963, + "grad_norm": 1.15625, + "learning_rate": 0.0001620792809321919, + "loss": 4.6479, + "mean_token_accuracy": 0.25236437320709226, + "num_tokens": 14596184.0, + "step": 6500 + }, + { + "epoch": 7.027041644131963, + "eval_entropy": 5.3447701345790515, + "eval_loss": 5.831712245941162, + "eval_mean_token_accuracy": 0.18428871013562786, + "eval_num_tokens": 14596184.0, + "eval_runtime": 3.5434, + "eval_samples_per_second": 991.978, + "eval_steps_per_second": 124.174, + "step": 6500 + }, + { + "entropy": 5.464370441436768, + "epoch": 7.032449972958356, + "grad_norm": 1.0625, + "learning_rate": 0.00016170849587246623, + "loss": 4.6636, + "mean_token_accuracy": 0.24691879898309707, + "num_tokens": 14606987.0, + "step": 6505 + }, + { + "entropy": 5.382754278182984, + "epoch": 7.037858301784748, + "grad_norm": 1.0859375, + "learning_rate": 0.00016133812251432826, + "loss": 4.6446, + "mean_token_accuracy": 0.24152851849794388, + "num_tokens": 14617600.0, + "step": 6510 + }, + { + "entropy": 5.545627021789551, + "epoch": 7.043266630611141, + "grad_norm": 1.140625, + "learning_rate": 0.0001609681622037159, + "loss": 4.8768, + "mean_token_accuracy": 0.23409285694360732, + "num_tokens": 14629551.0, + "step": 6515 + }, + { + "entropy": 5.513275575637818, + "epoch": 7.048674959437534, + "grad_norm": 0.9609375, + "learning_rate": 0.00016059861628506557, + "loss": 4.7503, + "mean_token_accuracy": 0.23408671617507934, + "num_tokens": 14641322.0, + "step": 6520 + }, + { + "entropy": 5.477088546752929, + "epoch": 7.054083288263927, + "grad_norm": 1.0078125, + "learning_rate": 0.00016022948610130804, + "loss": 4.6729, + "mean_token_accuracy": 0.24914150536060334, + "num_tokens": 14653380.0, + "step": 6525 + }, + { + "entropy": 5.466812229156494, + "epoch": 7.059491617090319, + "grad_norm": 1.140625, + "learning_rate": 0.0001598607729938632, + "loss": 4.6486, + "mean_token_accuracy": 0.24966771751642228, + "num_tokens": 14664043.0, + "step": 6530 + }, + { + "entropy": 5.344011831283569, + "epoch": 7.064899945916712, + "grad_norm": 1.078125, + "learning_rate": 0.00015949247830263538, + "loss": 4.5761, + "mean_token_accuracy": 0.2504953399300575, + "num_tokens": 14675117.0, + "step": 6535 + }, + { + "entropy": 5.410769510269165, + "epoch": 7.0703082747431045, + "grad_norm": 0.98828125, + "learning_rate": 0.00015912460336600838, + "loss": 4.6592, + "mean_token_accuracy": 0.24368593096733093, + "num_tokens": 14686908.0, + "step": 6540 + }, + { + "entropy": 5.454552125930786, + "epoch": 7.075716603569497, + "grad_norm": 1.1171875, + "learning_rate": 0.00015875714952084054, + "loss": 4.651, + "mean_token_accuracy": 0.23747905492782592, + "num_tokens": 14698997.0, + "step": 6545 + }, + { + "entropy": 5.482502889633179, + "epoch": 7.081124932395889, + "grad_norm": 1.125, + "learning_rate": 0.00015839011810245984, + "loss": 4.7622, + "mean_token_accuracy": 0.2314816802740097, + "num_tokens": 14709586.0, + "step": 6550 + }, + { + "entropy": 5.58815712928772, + "epoch": 7.086533261222282, + "grad_norm": 1.015625, + "learning_rate": 0.0001580235104446596, + "loss": 4.8083, + "mean_token_accuracy": 0.23637845516204833, + "num_tokens": 14720821.0, + "step": 6555 + }, + { + "entropy": 5.534481573104858, + "epoch": 7.091941590048675, + "grad_norm": 1.125, + "learning_rate": 0.00015765732787969267, + "loss": 4.7914, + "mean_token_accuracy": 0.2330068051815033, + "num_tokens": 14732218.0, + "step": 6560 + }, + { + "entropy": 5.500377082824707, + "epoch": 7.097349918875068, + "grad_norm": 1.125, + "learning_rate": 0.00015729157173826724, + "loss": 4.7649, + "mean_token_accuracy": 0.23969083726406099, + "num_tokens": 14742306.0, + "step": 6565 + }, + { + "entropy": 5.4900023460388185, + "epoch": 7.10275824770146, + "grad_norm": 1.1171875, + "learning_rate": 0.00015692624334954236, + "loss": 4.6786, + "mean_token_accuracy": 0.24366039633750916, + "num_tokens": 14752924.0, + "step": 6570 + }, + { + "entropy": 5.496832656860351, + "epoch": 7.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0001565613440411219, + "loss": 4.7231, + "mean_token_accuracy": 0.24004672914743425, + "num_tokens": 14764161.0, + "step": 6575 + }, + { + "entropy": 5.440928888320923, + "epoch": 7.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.0001561968751390509, + "loss": 4.6765, + "mean_token_accuracy": 0.24878692924976348, + "num_tokens": 14774520.0, + "step": 6580 + }, + { + "entropy": 5.453061580657959, + "epoch": 7.1189832341806385, + "grad_norm": 1.15625, + "learning_rate": 0.00015583283796781022, + "loss": 4.6932, + "mean_token_accuracy": 0.24243371188640594, + "num_tokens": 14785243.0, + "step": 6585 + }, + { + "entropy": 5.52647213935852, + "epoch": 7.1243915630070305, + "grad_norm": 1.171875, + "learning_rate": 0.00015546923385031169, + "loss": 4.7412, + "mean_token_accuracy": 0.23893113285303116, + "num_tokens": 14796152.0, + "step": 6590 + }, + { + "entropy": 5.4624011516571045, + "epoch": 7.129799891833423, + "grad_norm": 0.9296875, + "learning_rate": 0.00015510606410789368, + "loss": 4.6761, + "mean_token_accuracy": 0.24187866747379302, + "num_tokens": 14807849.0, + "step": 6595 + }, + { + "entropy": 5.4489339828491214, + "epoch": 7.135208220659816, + "grad_norm": 1.0234375, + "learning_rate": 0.0001547433300603157, + "loss": 4.7278, + "mean_token_accuracy": 0.23658954948186875, + "num_tokens": 14819402.0, + "step": 6600 + }, + { + "entropy": 5.519697618484497, + "epoch": 7.140616549486209, + "grad_norm": 0.97265625, + "learning_rate": 0.00015438103302575413, + "loss": 4.7809, + "mean_token_accuracy": 0.22943075448274614, + "num_tokens": 14831801.0, + "step": 6605 + }, + { + "entropy": 5.458428382873535, + "epoch": 7.146024878312601, + "grad_norm": 1.046875, + "learning_rate": 0.0001540191743207974, + "loss": 4.6665, + "mean_token_accuracy": 0.24807371944189072, + "num_tokens": 14842758.0, + "step": 6610 + }, + { + "entropy": 5.438600254058838, + "epoch": 7.151433207138994, + "grad_norm": 1.1484375, + "learning_rate": 0.0001536577552604407, + "loss": 4.6907, + "mean_token_accuracy": 0.24510224908590317, + "num_tokens": 14853493.0, + "step": 6615 + }, + { + "entropy": 5.459250783920288, + "epoch": 7.156841535965387, + "grad_norm": 1.0546875, + "learning_rate": 0.00015329677715808176, + "loss": 4.6939, + "mean_token_accuracy": 0.23562195599079133, + "num_tokens": 14863561.0, + "step": 6620 + }, + { + "entropy": 5.4494476318359375, + "epoch": 7.16224986479178, + "grad_norm": 1.0390625, + "learning_rate": 0.00015293624132551591, + "loss": 4.7133, + "mean_token_accuracy": 0.237583789229393, + "num_tokens": 14874501.0, + "step": 6625 + }, + { + "entropy": 5.418937349319458, + "epoch": 7.167658193618172, + "grad_norm": 1.1484375, + "learning_rate": 0.0001525761490729312, + "loss": 4.6094, + "mean_token_accuracy": 0.24090600162744522, + "num_tokens": 14885457.0, + "step": 6630 + }, + { + "entropy": 5.386363983154297, + "epoch": 7.173066522444564, + "grad_norm": 1.140625, + "learning_rate": 0.0001522165017089036, + "loss": 4.6538, + "mean_token_accuracy": 0.24340963810682298, + "num_tokens": 14895812.0, + "step": 6635 + }, + { + "entropy": 5.456580400466919, + "epoch": 7.178474851270957, + "grad_norm": 1.1484375, + "learning_rate": 0.00015185730054039266, + "loss": 4.6593, + "mean_token_accuracy": 0.2551399230957031, + "num_tokens": 14907367.0, + "step": 6640 + }, + { + "entropy": 5.359630060195923, + "epoch": 7.18388318009735, + "grad_norm": 1.0859375, + "learning_rate": 0.00015149854687273594, + "loss": 4.6462, + "mean_token_accuracy": 0.24483772069215776, + "num_tokens": 14918931.0, + "step": 6645 + }, + { + "entropy": 5.4493739128112795, + "epoch": 7.189291508923742, + "grad_norm": 1.203125, + "learning_rate": 0.0001511402420096455, + "loss": 4.6726, + "mean_token_accuracy": 0.24823494553565978, + "num_tokens": 14929518.0, + "step": 6650 + }, + { + "entropy": 5.420223188400269, + "epoch": 7.194699837750135, + "grad_norm": 1.0703125, + "learning_rate": 0.0001507823872532017, + "loss": 4.6215, + "mean_token_accuracy": 0.25121530294418337, + "num_tokens": 14940249.0, + "step": 6655 + }, + { + "entropy": 5.487333488464356, + "epoch": 7.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00015042498390384966, + "loss": 4.651, + "mean_token_accuracy": 0.2495026633143425, + "num_tokens": 14950645.0, + "step": 6660 + }, + { + "entropy": 5.48924765586853, + "epoch": 7.205516495402921, + "grad_norm": 1.1484375, + "learning_rate": 0.00015006803326039403, + "loss": 4.6803, + "mean_token_accuracy": 0.24450889825820923, + "num_tokens": 14961687.0, + "step": 6665 + }, + { + "entropy": 5.495927572250366, + "epoch": 7.210924824229313, + "grad_norm": 1.1328125, + "learning_rate": 0.00014971153661999425, + "loss": 4.7147, + "mean_token_accuracy": 0.23855119198560715, + "num_tokens": 14973119.0, + "step": 6670 + }, + { + "entropy": 5.49677472114563, + "epoch": 7.2163331530557056, + "grad_norm": 1.1015625, + "learning_rate": 0.0001493554952781599, + "loss": 4.7157, + "mean_token_accuracy": 0.2383064314723015, + "num_tokens": 14984826.0, + "step": 6675 + }, + { + "entropy": 5.433115148544312, + "epoch": 7.221741481882098, + "grad_norm": 1.1484375, + "learning_rate": 0.00014899991052874618, + "loss": 4.6384, + "mean_token_accuracy": 0.24932982623577118, + "num_tokens": 14996853.0, + "step": 6680 + }, + { + "entropy": 5.490801095962524, + "epoch": 7.227149810708491, + "grad_norm": 1.1171875, + "learning_rate": 0.00014864478366394853, + "loss": 4.723, + "mean_token_accuracy": 0.2382085368037224, + "num_tokens": 15006941.0, + "step": 6685 + }, + { + "entropy": 5.507191753387451, + "epoch": 7.232558139534884, + "grad_norm": 1.0234375, + "learning_rate": 0.0001482901159742992, + "loss": 4.7574, + "mean_token_accuracy": 0.23971456587314605, + "num_tokens": 15018477.0, + "step": 6690 + }, + { + "entropy": 5.495437908172607, + "epoch": 7.237966468361276, + "grad_norm": 1.078125, + "learning_rate": 0.0001479359087486613, + "loss": 4.7285, + "mean_token_accuracy": 0.24551907330751419, + "num_tokens": 15030454.0, + "step": 6695 + }, + { + "entropy": 5.439489364624023, + "epoch": 7.243374797187669, + "grad_norm": 1.1171875, + "learning_rate": 0.00014758216327422457, + "loss": 4.6662, + "mean_token_accuracy": 0.245236536860466, + "num_tokens": 15040662.0, + "step": 6700 + }, + { + "entropy": 5.4497535705566404, + "epoch": 7.248783126014062, + "grad_norm": 1.0859375, + "learning_rate": 0.00014722888083650094, + "loss": 4.7445, + "mean_token_accuracy": 0.23666218519210816, + "num_tokens": 15051414.0, + "step": 6705 + }, + { + "entropy": 5.429581880569458, + "epoch": 7.254191454840455, + "grad_norm": 1.09375, + "learning_rate": 0.00014687606271931961, + "loss": 4.6776, + "mean_token_accuracy": 0.24278885275125503, + "num_tokens": 15062563.0, + "step": 6710 + }, + { + "entropy": 5.483661127090454, + "epoch": 7.259599783666847, + "grad_norm": 1.1484375, + "learning_rate": 0.00014652371020482246, + "loss": 4.78, + "mean_token_accuracy": 0.2354867562651634, + "num_tokens": 15074443.0, + "step": 6715 + }, + { + "entropy": 5.4655379295349125, + "epoch": 7.2650081124932395, + "grad_norm": 1.09375, + "learning_rate": 0.0001461718245734594, + "loss": 4.6926, + "mean_token_accuracy": 0.2432758167386055, + "num_tokens": 15085920.0, + "step": 6720 + }, + { + "entropy": 5.451245069503784, + "epoch": 7.270416441319632, + "grad_norm": 1.1171875, + "learning_rate": 0.0001458204071039834, + "loss": 4.6462, + "mean_token_accuracy": 0.2515479028224945, + "num_tokens": 15096851.0, + "step": 6725 + }, + { + "entropy": 5.4489991664886475, + "epoch": 7.275824770146025, + "grad_norm": 0.99609375, + "learning_rate": 0.0001454694590734466, + "loss": 4.5771, + "mean_token_accuracy": 0.25787000358104706, + "num_tokens": 15107217.0, + "step": 6730 + }, + { + "entropy": 5.458311605453491, + "epoch": 7.281233098972417, + "grad_norm": 1.171875, + "learning_rate": 0.0001451189817571949, + "loss": 4.6624, + "mean_token_accuracy": 0.24796743094921112, + "num_tokens": 15117464.0, + "step": 6735 + }, + { + "entropy": 5.426720666885376, + "epoch": 7.28664142779881, + "grad_norm": 1.1015625, + "learning_rate": 0.00014476897642886355, + "loss": 4.6601, + "mean_token_accuracy": 0.2457870662212372, + "num_tokens": 15127801.0, + "step": 6740 + }, + { + "entropy": 5.524455165863037, + "epoch": 7.292049756625203, + "grad_norm": 1.1171875, + "learning_rate": 0.00014441944436037287, + "loss": 4.8401, + "mean_token_accuracy": 0.2326320692896843, + "num_tokens": 15139117.0, + "step": 6745 + }, + { + "entropy": 5.410741662979126, + "epoch": 7.297458085451596, + "grad_norm": 1.1640625, + "learning_rate": 0.00014407038682192312, + "loss": 4.7018, + "mean_token_accuracy": 0.23679485470056533, + "num_tokens": 15150205.0, + "step": 6750 + }, + { + "entropy": 5.4943968772888185, + "epoch": 7.302866414277988, + "grad_norm": 1.1640625, + "learning_rate": 0.0001437218050819902, + "loss": 4.7458, + "mean_token_accuracy": 0.23985870331525802, + "num_tokens": 15160813.0, + "step": 6755 + }, + { + "entropy": 5.4374031066894535, + "epoch": 7.308274743104381, + "grad_norm": 1.15625, + "learning_rate": 0.000143373700407321, + "loss": 4.6973, + "mean_token_accuracy": 0.23702437579631805, + "num_tokens": 15171609.0, + "step": 6760 + }, + { + "entropy": 5.454741048812866, + "epoch": 7.3136830719307735, + "grad_norm": 1.0859375, + "learning_rate": 0.00014302607406292873, + "loss": 4.6596, + "mean_token_accuracy": 0.2430892437696457, + "num_tokens": 15183030.0, + "step": 6765 + }, + { + "entropy": 5.472054719924927, + "epoch": 7.319091400757166, + "grad_norm": 1.234375, + "learning_rate": 0.00014267892731208826, + "loss": 4.7313, + "mean_token_accuracy": 0.2432381123304367, + "num_tokens": 15193365.0, + "step": 6770 + }, + { + "entropy": 5.426125717163086, + "epoch": 7.324499729583558, + "grad_norm": 1.0703125, + "learning_rate": 0.0001423322614163318, + "loss": 4.6888, + "mean_token_accuracy": 0.2341487318277359, + "num_tokens": 15205075.0, + "step": 6775 + }, + { + "entropy": 5.46237211227417, + "epoch": 7.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.00014198607763544392, + "loss": 4.7177, + "mean_token_accuracy": 0.2393790975213051, + "num_tokens": 15216655.0, + "step": 6780 + }, + { + "entropy": 5.436810684204102, + "epoch": 7.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.00014164037722745715, + "loss": 4.6884, + "mean_token_accuracy": 0.24960858076810838, + "num_tokens": 15228130.0, + "step": 6785 + }, + { + "entropy": 5.390351629257202, + "epoch": 7.340724716062737, + "grad_norm": 0.9609375, + "learning_rate": 0.0001412951614486479, + "loss": 4.6332, + "mean_token_accuracy": 0.24285543262958526, + "num_tokens": 15239019.0, + "step": 6790 + }, + { + "entropy": 5.483645868301392, + "epoch": 7.346133044889129, + "grad_norm": 1.0625, + "learning_rate": 0.00014095043155353085, + "loss": 4.7357, + "mean_token_accuracy": 0.23854799568653107, + "num_tokens": 15250325.0, + "step": 6795 + }, + { + "entropy": 5.4402210235595705, + "epoch": 7.351541373715522, + "grad_norm": 1.234375, + "learning_rate": 0.0001406061887948553, + "loss": 4.7688, + "mean_token_accuracy": 0.22925260066986083, + "num_tokens": 15261670.0, + "step": 6800 + }, + { + "entropy": 5.5303246021270756, + "epoch": 7.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.00014026243442360025, + "loss": 4.742, + "mean_token_accuracy": 0.2413437023758888, + "num_tokens": 15273660.0, + "step": 6805 + }, + { + "entropy": 5.464653587341308, + "epoch": 7.3623580313683075, + "grad_norm": 0.98046875, + "learning_rate": 0.0001399191696889699, + "loss": 4.6256, + "mean_token_accuracy": 0.2464908093214035, + "num_tokens": 15284593.0, + "step": 6810 + }, + { + "entropy": 5.448968410491943, + "epoch": 7.367766360194699, + "grad_norm": 1.0390625, + "learning_rate": 0.0001395763958383891, + "loss": 4.732, + "mean_token_accuracy": 0.23267947733402253, + "num_tokens": 15295860.0, + "step": 6815 + }, + { + "entropy": 5.386800622940063, + "epoch": 7.373174689021092, + "grad_norm": 1.140625, + "learning_rate": 0.0001392341141174987, + "loss": 4.6744, + "mean_token_accuracy": 0.2403596669435501, + "num_tokens": 15306718.0, + "step": 6820 + }, + { + "entropy": 5.456715679168701, + "epoch": 7.378583017847485, + "grad_norm": 0.984375, + "learning_rate": 0.00013889232577015125, + "loss": 4.6425, + "mean_token_accuracy": 0.24926920384168624, + "num_tokens": 15318213.0, + "step": 6825 + }, + { + "entropy": 5.4435365200042725, + "epoch": 7.383991346673878, + "grad_norm": 1.203125, + "learning_rate": 0.00013855103203840673, + "loss": 4.7027, + "mean_token_accuracy": 0.24004194885492325, + "num_tokens": 15328932.0, + "step": 6830 + }, + { + "entropy": 5.453626346588135, + "epoch": 7.38939967550027, + "grad_norm": 1.078125, + "learning_rate": 0.00013821023416252693, + "loss": 4.7246, + "mean_token_accuracy": 0.23861720710992812, + "num_tokens": 15340370.0, + "step": 6835 + }, + { + "entropy": 5.450275945663452, + "epoch": 7.394808004326663, + "grad_norm": 1.078125, + "learning_rate": 0.00013786993338097236, + "loss": 4.7441, + "mean_token_accuracy": 0.23446590304374695, + "num_tokens": 15351567.0, + "step": 6840 + }, + { + "entropy": 5.482220315933228, + "epoch": 7.400216333153056, + "grad_norm": 1.2265625, + "learning_rate": 0.00013753013093039673, + "loss": 4.6906, + "mean_token_accuracy": 0.24328313022851944, + "num_tokens": 15361945.0, + "step": 6845 + }, + { + "entropy": 5.375622081756592, + "epoch": 7.405624661979449, + "grad_norm": 0.9453125, + "learning_rate": 0.000137190828045643, + "loss": 4.6098, + "mean_token_accuracy": 0.24908155649900438, + "num_tokens": 15374267.0, + "step": 6850 + }, + { + "entropy": 5.38783860206604, + "epoch": 7.411032990805841, + "grad_norm": 1.1875, + "learning_rate": 0.00013685202595973861, + "loss": 4.6344, + "mean_token_accuracy": 0.2504056841135025, + "num_tokens": 15384323.0, + "step": 6855 + }, + { + "entropy": 5.458398628234863, + "epoch": 7.416441319632233, + "grad_norm": 1.03125, + "learning_rate": 0.00013651372590389122, + "loss": 4.6744, + "mean_token_accuracy": 0.23910631090402604, + "num_tokens": 15395034.0, + "step": 6860 + }, + { + "entropy": 5.509616470336914, + "epoch": 7.421849648458626, + "grad_norm": 1.1015625, + "learning_rate": 0.00013617592910748378, + "loss": 4.7472, + "mean_token_accuracy": 0.2403371140360832, + "num_tokens": 15405948.0, + "step": 6865 + }, + { + "entropy": 5.450651597976685, + "epoch": 7.427257977285019, + "grad_norm": 1.078125, + "learning_rate": 0.00013583863679807092, + "loss": 4.7383, + "mean_token_accuracy": 0.24283735305070878, + "num_tokens": 15417200.0, + "step": 6870 + }, + { + "entropy": 5.399878263473511, + "epoch": 7.432666306111411, + "grad_norm": 1.140625, + "learning_rate": 0.00013550185020137344, + "loss": 4.6714, + "mean_token_accuracy": 0.23909084647893905, + "num_tokens": 15428525.0, + "step": 6875 + }, + { + "entropy": 5.433660840988159, + "epoch": 7.438074634937804, + "grad_norm": 1.171875, + "learning_rate": 0.0001351655705412747, + "loss": 4.7263, + "mean_token_accuracy": 0.24089816063642502, + "num_tokens": 15440464.0, + "step": 6880 + }, + { + "entropy": 5.434780931472778, + "epoch": 7.443482963764197, + "grad_norm": 0.890625, + "learning_rate": 0.0001348297990398158, + "loss": 4.6652, + "mean_token_accuracy": 0.24440051168203353, + "num_tokens": 15452141.0, + "step": 6885 + }, + { + "entropy": 5.389398670196533, + "epoch": 7.44889129259059, + "grad_norm": 1.28125, + "learning_rate": 0.00013449453691719108, + "loss": 4.6366, + "mean_token_accuracy": 0.2456216871738434, + "num_tokens": 15463550.0, + "step": 6890 + }, + { + "entropy": 5.477556848526001, + "epoch": 7.4542996214169825, + "grad_norm": 1.1484375, + "learning_rate": 0.0001341597853917439, + "loss": 4.7464, + "mean_token_accuracy": 0.23704748153686522, + "num_tokens": 15475021.0, + "step": 6895 + }, + { + "entropy": 5.442272329330445, + "epoch": 7.4597079502433745, + "grad_norm": 1.1015625, + "learning_rate": 0.00013382554567996214, + "loss": 4.6938, + "mean_token_accuracy": 0.24450730830430983, + "num_tokens": 15486567.0, + "step": 6900 + }, + { + "entropy": 5.471250104904175, + "epoch": 7.465116279069767, + "grad_norm": 1.0703125, + "learning_rate": 0.00013349181899647346, + "loss": 4.7249, + "mean_token_accuracy": 0.23975735455751418, + "num_tokens": 15498133.0, + "step": 6905 + }, + { + "entropy": 5.447659826278686, + "epoch": 7.47052460789616, + "grad_norm": 1.046875, + "learning_rate": 0.00013315860655404167, + "loss": 4.7895, + "mean_token_accuracy": 0.23136132061481476, + "num_tokens": 15509723.0, + "step": 6910 + }, + { + "entropy": 5.456309413909912, + "epoch": 7.475932936722553, + "grad_norm": 1.078125, + "learning_rate": 0.0001328259095635615, + "loss": 4.7115, + "mean_token_accuracy": 0.23292717039585115, + "num_tokens": 15519590.0, + "step": 6915 + }, + { + "entropy": 5.4850624084472654, + "epoch": 7.481341265548945, + "grad_norm": 1.0703125, + "learning_rate": 0.0001324937292340545, + "loss": 4.7387, + "mean_token_accuracy": 0.23711150139570236, + "num_tokens": 15531112.0, + "step": 6920 + }, + { + "entropy": 5.4384623050689695, + "epoch": 7.486749594375338, + "grad_norm": 1.15625, + "learning_rate": 0.00013216206677266475, + "loss": 4.6405, + "mean_token_accuracy": 0.24470630288124084, + "num_tokens": 15541341.0, + "step": 6925 + }, + { + "entropy": 5.4840343475341795, + "epoch": 7.492157923201731, + "grad_norm": 1.1171875, + "learning_rate": 0.0001318309233846544, + "loss": 4.7422, + "mean_token_accuracy": 0.236113977432251, + "num_tokens": 15553025.0, + "step": 6930 + }, + { + "entropy": 5.563514947891235, + "epoch": 7.497566252028124, + "grad_norm": 1.1328125, + "learning_rate": 0.00013150030027339935, + "loss": 4.7686, + "mean_token_accuracy": 0.23476097285747527, + "num_tokens": 15563824.0, + "step": 6935 + }, + { + "entropy": 5.46577525138855, + "epoch": 7.502974580854516, + "grad_norm": 1.1796875, + "learning_rate": 0.00013117019864038483, + "loss": 4.7118, + "mean_token_accuracy": 0.24245630502700805, + "num_tokens": 15575129.0, + "step": 6940 + }, + { + "entropy": 5.415052223205566, + "epoch": 7.5083829096809085, + "grad_norm": 0.9453125, + "learning_rate": 0.00013084061968520063, + "loss": 4.675, + "mean_token_accuracy": 0.2389229193329811, + "num_tokens": 15586018.0, + "step": 6945 + }, + { + "entropy": 5.501877355575561, + "epoch": 7.513791238507301, + "grad_norm": 1.0546875, + "learning_rate": 0.00013051156460553776, + "loss": 4.8056, + "mean_token_accuracy": 0.2328426405787468, + "num_tokens": 15597062.0, + "step": 6950 + }, + { + "entropy": 5.530647611618042, + "epoch": 7.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.00013018303459718305, + "loss": 4.8664, + "mean_token_accuracy": 0.2271554872393608, + "num_tokens": 15608666.0, + "step": 6955 + }, + { + "entropy": 5.479798126220703, + "epoch": 7.524607896160086, + "grad_norm": 1.046875, + "learning_rate": 0.00012985503085401523, + "loss": 4.7171, + "mean_token_accuracy": 0.241233229637146, + "num_tokens": 15619764.0, + "step": 6960 + }, + { + "entropy": 5.508718585968017, + "epoch": 7.530016224986479, + "grad_norm": 1.0546875, + "learning_rate": 0.00012952755456800067, + "loss": 4.7602, + "mean_token_accuracy": 0.23189041912555694, + "num_tokens": 15631611.0, + "step": 6965 + }, + { + "entropy": 5.498543310165405, + "epoch": 7.535424553812872, + "grad_norm": 1.109375, + "learning_rate": 0.000129200606929189, + "loss": 4.7292, + "mean_token_accuracy": 0.24636310935020447, + "num_tokens": 15642392.0, + "step": 6970 + }, + { + "entropy": 5.480962038040161, + "epoch": 7.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.0001288741891257087, + "loss": 4.725, + "mean_token_accuracy": 0.2412426218390465, + "num_tokens": 15655304.0, + "step": 6975 + }, + { + "entropy": 5.409903812408447, + "epoch": 7.546241211465657, + "grad_norm": 1.0546875, + "learning_rate": 0.00012854830234376277, + "loss": 4.6985, + "mean_token_accuracy": 0.23944918811321259, + "num_tokens": 15666055.0, + "step": 6980 + }, + { + "entropy": 5.448230409622193, + "epoch": 7.55164954029205, + "grad_norm": 1.1171875, + "learning_rate": 0.0001282229477676246, + "loss": 4.7246, + "mean_token_accuracy": 0.2372318223118782, + "num_tokens": 15676287.0, + "step": 6985 + }, + { + "entropy": 5.526154470443726, + "epoch": 7.5570578691184425, + "grad_norm": 1.171875, + "learning_rate": 0.0001278981265796334, + "loss": 4.7988, + "mean_token_accuracy": 0.23436320722103118, + "num_tokens": 15687448.0, + "step": 6990 + }, + { + "entropy": 5.418953084945679, + "epoch": 7.562466197944835, + "grad_norm": 1.09375, + "learning_rate": 0.00012757383996019024, + "loss": 4.6595, + "mean_token_accuracy": 0.23905721604824065, + "num_tokens": 15698303.0, + "step": 6995 + }, + { + "entropy": 5.4294517993927, + "epoch": 7.567874526771227, + "grad_norm": 1.140625, + "learning_rate": 0.0001272500890877533, + "loss": 4.5963, + "mean_token_accuracy": 0.2506329596042633, + "num_tokens": 15708905.0, + "step": 7000 + }, + { + "epoch": 7.567874526771227, + "eval_entropy": 5.361298730156639, + "eval_loss": 5.836106300354004, + "eval_mean_token_accuracy": 0.18401451317424125, + "eval_num_tokens": 15708905.0, + "eval_runtime": 3.5384, + "eval_samples_per_second": 993.377, + "eval_steps_per_second": 124.349, + "step": 7000 + }, + { + "entropy": 5.410555648803711, + "epoch": 7.57328285559762, + "grad_norm": 1.1171875, + "learning_rate": 0.00012692687513883393, + "loss": 4.6628, + "mean_token_accuracy": 0.247932131588459, + "num_tokens": 15719394.0, + "step": 7005 + }, + { + "entropy": 5.488701438903808, + "epoch": 7.578691184424013, + "grad_norm": 1.1171875, + "learning_rate": 0.00012660419928799265, + "loss": 4.7425, + "mean_token_accuracy": 0.24454527497291564, + "num_tokens": 15729754.0, + "step": 7010 + }, + { + "entropy": 5.45831265449524, + "epoch": 7.584099513250406, + "grad_norm": 1.1015625, + "learning_rate": 0.00012628206270783404, + "loss": 4.7098, + "mean_token_accuracy": 0.24095088988542557, + "num_tokens": 15741194.0, + "step": 7015 + }, + { + "entropy": 5.4275898933410645, + "epoch": 7.589507842076799, + "grad_norm": 1.125, + "learning_rate": 0.00012596046656900323, + "loss": 4.6905, + "mean_token_accuracy": 0.25003129839897154, + "num_tokens": 15752594.0, + "step": 7020 + }, + { + "entropy": 5.448650074005127, + "epoch": 7.594916170903191, + "grad_norm": 1.0625, + "learning_rate": 0.0001256394120401813, + "loss": 4.7101, + "mean_token_accuracy": 0.24013070166110992, + "num_tokens": 15764121.0, + "step": 7025 + }, + { + "entropy": 5.455530309677124, + "epoch": 7.600324499729584, + "grad_norm": 1.03125, + "learning_rate": 0.00012531890028808122, + "loss": 4.6706, + "mean_token_accuracy": 0.24022805839776992, + "num_tokens": 15775842.0, + "step": 7030 + }, + { + "entropy": 5.462522268295288, + "epoch": 7.605732828555976, + "grad_norm": 1.21875, + "learning_rate": 0.0001249989324774434, + "loss": 4.6204, + "mean_token_accuracy": 0.24893483370542527, + "num_tokens": 15787663.0, + "step": 7035 + }, + { + "entropy": 5.4826967239379885, + "epoch": 7.611141157382368, + "grad_norm": 1.09375, + "learning_rate": 0.00012467950977103158, + "loss": 4.6754, + "mean_token_accuracy": 0.23806458562612534, + "num_tokens": 15799675.0, + "step": 7040 + }, + { + "entropy": 5.448901271820068, + "epoch": 7.616549486208761, + "grad_norm": 1.03125, + "learning_rate": 0.00012436063332962852, + "loss": 4.7347, + "mean_token_accuracy": 0.23882138431072236, + "num_tokens": 15810772.0, + "step": 7045 + }, + { + "entropy": 5.473357391357422, + "epoch": 7.621957815035154, + "grad_norm": 1.0859375, + "learning_rate": 0.00012404230431203227, + "loss": 4.7761, + "mean_token_accuracy": 0.2378004312515259, + "num_tokens": 15823711.0, + "step": 7050 + }, + { + "entropy": 5.415027236938476, + "epoch": 7.627366143861547, + "grad_norm": 1.1328125, + "learning_rate": 0.00012372452387505087, + "loss": 4.6382, + "mean_token_accuracy": 0.24569786489009857, + "num_tokens": 15834603.0, + "step": 7055 + }, + { + "entropy": 5.376887321472168, + "epoch": 7.63277447268794, + "grad_norm": 1.0, + "learning_rate": 0.0001234072931734993, + "loss": 4.6471, + "mean_token_accuracy": 0.2411333292722702, + "num_tokens": 15846238.0, + "step": 7060 + }, + { + "entropy": 5.524644470214843, + "epoch": 7.638182801514332, + "grad_norm": 1.0078125, + "learning_rate": 0.00012309061336019465, + "loss": 4.8, + "mean_token_accuracy": 0.22993574738502504, + "num_tokens": 15858560.0, + "step": 7065 + }, + { + "entropy": 5.416137933731079, + "epoch": 7.643591130340725, + "grad_norm": 1.03125, + "learning_rate": 0.00012277448558595212, + "loss": 4.6533, + "mean_token_accuracy": 0.2425800859928131, + "num_tokens": 15870624.0, + "step": 7070 + }, + { + "entropy": 5.454917049407959, + "epoch": 7.6489994591671175, + "grad_norm": 1.09375, + "learning_rate": 0.00012245891099958074, + "loss": 4.6744, + "mean_token_accuracy": 0.24045936465263368, + "num_tokens": 15881199.0, + "step": 7075 + }, + { + "entropy": 5.495878791809082, + "epoch": 7.6544077879935095, + "grad_norm": 1.0546875, + "learning_rate": 0.0001221438907478793, + "loss": 4.7903, + "mean_token_accuracy": 0.23239711970090865, + "num_tokens": 15893270.0, + "step": 7080 + }, + { + "entropy": 5.421728515625, + "epoch": 7.659816116819902, + "grad_norm": 1.09375, + "learning_rate": 0.00012182942597563213, + "loss": 4.6349, + "mean_token_accuracy": 0.24187428802251815, + "num_tokens": 15904509.0, + "step": 7085 + }, + { + "entropy": 5.419718074798584, + "epoch": 7.665224445646295, + "grad_norm": 1.203125, + "learning_rate": 0.00012151551782560499, + "loss": 4.6072, + "mean_token_accuracy": 0.2526846662163734, + "num_tokens": 15914913.0, + "step": 7090 + }, + { + "entropy": 5.489346218109131, + "epoch": 7.670632774472688, + "grad_norm": 1.171875, + "learning_rate": 0.00012120216743854068, + "loss": 4.7075, + "mean_token_accuracy": 0.24569393545389176, + "num_tokens": 15925742.0, + "step": 7095 + }, + { + "entropy": 5.388180208206177, + "epoch": 7.676041103299081, + "grad_norm": 1.03125, + "learning_rate": 0.00012088937595315525, + "loss": 4.6899, + "mean_token_accuracy": 0.24826941937208175, + "num_tokens": 15936165.0, + "step": 7100 + }, + { + "entropy": 5.413707208633423, + "epoch": 7.681449432125473, + "grad_norm": 1.1484375, + "learning_rate": 0.0001205771445061339, + "loss": 4.7469, + "mean_token_accuracy": 0.23956471979618071, + "num_tokens": 15948570.0, + "step": 7105 + }, + { + "entropy": 5.4949205875396725, + "epoch": 7.686857760951866, + "grad_norm": 1.015625, + "learning_rate": 0.0001202654742321262, + "loss": 4.7265, + "mean_token_accuracy": 0.23922350108623505, + "num_tokens": 15959890.0, + "step": 7110 + }, + { + "entropy": 5.452880001068115, + "epoch": 7.692266089778259, + "grad_norm": 1.1796875, + "learning_rate": 0.00011995436626374272, + "loss": 4.673, + "mean_token_accuracy": 0.24784787148237228, + "num_tokens": 15970632.0, + "step": 7115 + }, + { + "entropy": 5.416787195205688, + "epoch": 7.6976744186046515, + "grad_norm": 1.25, + "learning_rate": 0.00011964382173155053, + "loss": 4.6689, + "mean_token_accuracy": 0.2400309830904007, + "num_tokens": 15981352.0, + "step": 7120 + }, + { + "entropy": 5.4355627536773685, + "epoch": 7.7030827474310435, + "grad_norm": 1.234375, + "learning_rate": 0.00011933384176406915, + "loss": 4.646, + "mean_token_accuracy": 0.2374104455113411, + "num_tokens": 15991619.0, + "step": 7125 + }, + { + "entropy": 5.429497241973877, + "epoch": 7.708491076257436, + "grad_norm": 1.125, + "learning_rate": 0.0001190244274877666, + "loss": 4.6864, + "mean_token_accuracy": 0.2413660168647766, + "num_tokens": 16001588.0, + "step": 7130 + }, + { + "entropy": 5.494664478302002, + "epoch": 7.713899405083829, + "grad_norm": 1.0390625, + "learning_rate": 0.00011871558002705501, + "loss": 4.7115, + "mean_token_accuracy": 0.24696183651685716, + "num_tokens": 16013230.0, + "step": 7135 + }, + { + "entropy": 5.471933650970459, + "epoch": 7.719307733910222, + "grad_norm": 1.0703125, + "learning_rate": 0.00011840730050428666, + "loss": 4.7204, + "mean_token_accuracy": 0.2421387568116188, + "num_tokens": 16024310.0, + "step": 7140 + }, + { + "entropy": 5.53667459487915, + "epoch": 7.724716062736614, + "grad_norm": 1.1796875, + "learning_rate": 0.0001180995900397503, + "loss": 4.77, + "mean_token_accuracy": 0.24355804920196533, + "num_tokens": 16035188.0, + "step": 7145 + }, + { + "entropy": 5.480495023727417, + "epoch": 7.730124391563007, + "grad_norm": 1.1953125, + "learning_rate": 0.00011779244975166623, + "loss": 4.7301, + "mean_token_accuracy": 0.24054988771677016, + "num_tokens": 16046354.0, + "step": 7150 + }, + { + "entropy": 5.426711893081665, + "epoch": 7.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00011748588075618305, + "loss": 4.7118, + "mean_token_accuracy": 0.24877999126911163, + "num_tokens": 16056809.0, + "step": 7155 + }, + { + "entropy": 5.4671995639801025, + "epoch": 7.740941049215793, + "grad_norm": 1.21875, + "learning_rate": 0.00011717988416737322, + "loss": 4.7184, + "mean_token_accuracy": 0.24492209553718566, + "num_tokens": 16067440.0, + "step": 7160 + }, + { + "entropy": 5.4140464782714846, + "epoch": 7.746349378042185, + "grad_norm": 1.0625, + "learning_rate": 0.00011687446109722904, + "loss": 4.6476, + "mean_token_accuracy": 0.24424516260623932, + "num_tokens": 16078126.0, + "step": 7165 + }, + { + "entropy": 5.456424331665039, + "epoch": 7.7517577068685775, + "grad_norm": 1.0625, + "learning_rate": 0.00011656961265565864, + "loss": 4.7301, + "mean_token_accuracy": 0.24294260144233704, + "num_tokens": 16090823.0, + "step": 7170 + }, + { + "entropy": 5.463951253890992, + "epoch": 7.75716603569497, + "grad_norm": 1.015625, + "learning_rate": 0.00011626533995048204, + "loss": 4.67, + "mean_token_accuracy": 0.24340787380933762, + "num_tokens": 16102544.0, + "step": 7175 + }, + { + "entropy": 5.5464982986450195, + "epoch": 7.762574364521363, + "grad_norm": 1.1875, + "learning_rate": 0.00011596164408742675, + "loss": 4.8036, + "mean_token_accuracy": 0.2365711435675621, + "num_tokens": 16113573.0, + "step": 7180 + }, + { + "entropy": 5.379365015029907, + "epoch": 7.767982693347756, + "grad_norm": 1.1328125, + "learning_rate": 0.00011565852617012452, + "loss": 4.6496, + "mean_token_accuracy": 0.24278265684843064, + "num_tokens": 16124999.0, + "step": 7185 + }, + { + "entropy": 5.405616998672485, + "epoch": 7.773391022174148, + "grad_norm": 1.1171875, + "learning_rate": 0.00011535598730010633, + "loss": 4.6691, + "mean_token_accuracy": 0.2426201358437538, + "num_tokens": 16134941.0, + "step": 7190 + }, + { + "entropy": 5.482621383666992, + "epoch": 7.778799351000541, + "grad_norm": 1.0859375, + "learning_rate": 0.00011505402857679921, + "loss": 4.6785, + "mean_token_accuracy": 0.24790813624858857, + "num_tokens": 16146336.0, + "step": 7195 + }, + { + "entropy": 5.498623847961426, + "epoch": 7.784207679826934, + "grad_norm": 1.0546875, + "learning_rate": 0.00011475265109752187, + "loss": 4.7665, + "mean_token_accuracy": 0.2398320570588112, + "num_tokens": 16158539.0, + "step": 7200 + }, + { + "entropy": 5.464281845092773, + "epoch": 7.789616008653326, + "grad_norm": 1.125, + "learning_rate": 0.00011445185595748074, + "loss": 4.7972, + "mean_token_accuracy": 0.2307965487241745, + "num_tokens": 16170878.0, + "step": 7205 + }, + { + "entropy": 5.391339731216431, + "epoch": 7.795024337479719, + "grad_norm": 1.1484375, + "learning_rate": 0.0001141516442497661, + "loss": 4.6314, + "mean_token_accuracy": 0.23817023634910583, + "num_tokens": 16182076.0, + "step": 7210 + }, + { + "entropy": 5.396452331542969, + "epoch": 7.800432666306111, + "grad_norm": 1.078125, + "learning_rate": 0.00011385201706534803, + "loss": 4.6701, + "mean_token_accuracy": 0.24000394940376282, + "num_tokens": 16192850.0, + "step": 7215 + }, + { + "entropy": 5.375637197494507, + "epoch": 7.805840995132504, + "grad_norm": 1.09375, + "learning_rate": 0.0001135529754930722, + "loss": 4.6392, + "mean_token_accuracy": 0.24287021309137344, + "num_tokens": 16204118.0, + "step": 7220 + }, + { + "entropy": 5.557591438293457, + "epoch": 7.811249323958897, + "grad_norm": 1.1171875, + "learning_rate": 0.00011325452061965662, + "loss": 4.7428, + "mean_token_accuracy": 0.23815116435289382, + "num_tokens": 16215513.0, + "step": 7225 + }, + { + "entropy": 5.451365947723389, + "epoch": 7.816657652785289, + "grad_norm": 1.1796875, + "learning_rate": 0.00011295665352968692, + "loss": 4.7363, + "mean_token_accuracy": 0.23681218177080154, + "num_tokens": 16228169.0, + "step": 7230 + }, + { + "entropy": 5.480658626556396, + "epoch": 7.822065981611682, + "grad_norm": 1.234375, + "learning_rate": 0.00011265937530561271, + "loss": 4.6689, + "mean_token_accuracy": 0.2397017553448677, + "num_tokens": 16239200.0, + "step": 7235 + }, + { + "entropy": 5.530086040496826, + "epoch": 7.827474310438075, + "grad_norm": 1.1328125, + "learning_rate": 0.00011236268702774377, + "loss": 4.7757, + "mean_token_accuracy": 0.23204438984394074, + "num_tokens": 16250979.0, + "step": 7240 + }, + { + "entropy": 5.450435733795166, + "epoch": 7.832882639264467, + "grad_norm": 1.1796875, + "learning_rate": 0.00011206658977424605, + "loss": 4.693, + "mean_token_accuracy": 0.2333730399608612, + "num_tokens": 16262103.0, + "step": 7245 + }, + { + "entropy": 5.4131334781646725, + "epoch": 7.83829096809086, + "grad_norm": 1.1015625, + "learning_rate": 0.00011177108462113761, + "loss": 4.6902, + "mean_token_accuracy": 0.24078061431646347, + "num_tokens": 16272948.0, + "step": 7250 + }, + { + "entropy": 5.436950731277466, + "epoch": 7.8436992969172525, + "grad_norm": 1.1328125, + "learning_rate": 0.00011147617264228491, + "loss": 4.6133, + "mean_token_accuracy": 0.2494473084807396, + "num_tokens": 16283180.0, + "step": 7255 + }, + { + "entropy": 5.441599941253662, + "epoch": 7.849107625743645, + "grad_norm": 1.0703125, + "learning_rate": 0.00011118185490939861, + "loss": 4.6331, + "mean_token_accuracy": 0.251367150247097, + "num_tokens": 16294886.0, + "step": 7260 + }, + { + "entropy": 5.464648628234864, + "epoch": 7.854515954570038, + "grad_norm": 1.1171875, + "learning_rate": 0.00011088813249203019, + "loss": 4.6634, + "mean_token_accuracy": 0.25127213448286057, + "num_tokens": 16305979.0, + "step": 7265 + }, + { + "entropy": 5.401372051239013, + "epoch": 7.85992428339643, + "grad_norm": 0.9609375, + "learning_rate": 0.00011059500645756762, + "loss": 4.6638, + "mean_token_accuracy": 0.23800498843193055, + "num_tokens": 16318645.0, + "step": 7270 + }, + { + "entropy": 5.375847434997558, + "epoch": 7.865332612222823, + "grad_norm": 1.109375, + "learning_rate": 0.00011030247787123147, + "loss": 4.6428, + "mean_token_accuracy": 0.24710031747817993, + "num_tokens": 16329907.0, + "step": 7275 + }, + { + "entropy": 5.449215126037598, + "epoch": 7.870740941049216, + "grad_norm": 1.1015625, + "learning_rate": 0.00011001054779607121, + "loss": 4.7858, + "mean_token_accuracy": 0.2368557870388031, + "num_tokens": 16342531.0, + "step": 7280 + }, + { + "entropy": 5.461852312088013, + "epoch": 7.876149269875609, + "grad_norm": 1.171875, + "learning_rate": 0.00010971921729296172, + "loss": 4.6284, + "mean_token_accuracy": 0.2432481676340103, + "num_tokens": 16355394.0, + "step": 7285 + }, + { + "entropy": 5.381710481643677, + "epoch": 7.881557598702001, + "grad_norm": 1.15625, + "learning_rate": 0.00010942848742059845, + "loss": 4.5176, + "mean_token_accuracy": 0.26522424519062043, + "num_tokens": 16366049.0, + "step": 7290 + }, + { + "entropy": 5.439858341217041, + "epoch": 7.886965927528394, + "grad_norm": 1.0, + "learning_rate": 0.00010913835923549453, + "loss": 4.6763, + "mean_token_accuracy": 0.24100939333438873, + "num_tokens": 16378597.0, + "step": 7295 + }, + { + "entropy": 5.507377433776855, + "epoch": 7.8923742563547865, + "grad_norm": 1.046875, + "learning_rate": 0.00010884883379197643, + "loss": 4.8337, + "mean_token_accuracy": 0.2296651244163513, + "num_tokens": 16391417.0, + "step": 7300 + }, + { + "entropy": 5.442261743545532, + "epoch": 7.897782585181179, + "grad_norm": 1.1484375, + "learning_rate": 0.00010855991214218028, + "loss": 4.6895, + "mean_token_accuracy": 0.24659370332956315, + "num_tokens": 16402188.0, + "step": 7305 + }, + { + "entropy": 5.4488245964050295, + "epoch": 7.903190914007571, + "grad_norm": 1.1015625, + "learning_rate": 0.00010827159533604814, + "loss": 4.7273, + "mean_token_accuracy": 0.24307797700166703, + "num_tokens": 16415124.0, + "step": 7310 + }, + { + "entropy": 5.47108826637268, + "epoch": 7.908599242833964, + "grad_norm": 1.0234375, + "learning_rate": 0.00010798388442132375, + "loss": 4.726, + "mean_token_accuracy": 0.23914463967084884, + "num_tokens": 16426536.0, + "step": 7315 + }, + { + "entropy": 5.472820854187011, + "epoch": 7.914007571660357, + "grad_norm": 1.0703125, + "learning_rate": 0.00010769678044354927, + "loss": 4.6824, + "mean_token_accuracy": 0.24461480379104614, + "num_tokens": 16438417.0, + "step": 7320 + }, + { + "entropy": 5.444475698471069, + "epoch": 7.91941590048675, + "grad_norm": 1.15625, + "learning_rate": 0.00010741028444606141, + "loss": 4.6947, + "mean_token_accuracy": 0.23717159330844878, + "num_tokens": 16449271.0, + "step": 7325 + }, + { + "entropy": 5.5423647403717045, + "epoch": 7.924824229313142, + "grad_norm": 1.0390625, + "learning_rate": 0.00010712439746998711, + "loss": 4.7897, + "mean_token_accuracy": 0.23704513907432556, + "num_tokens": 16460387.0, + "step": 7330 + }, + { + "entropy": 5.444651031494141, + "epoch": 7.930232558139535, + "grad_norm": 1.1875, + "learning_rate": 0.00010683912055424036, + "loss": 4.6753, + "mean_token_accuracy": 0.24380592852830887, + "num_tokens": 16471262.0, + "step": 7335 + }, + { + "entropy": 5.476079893112183, + "epoch": 7.935640886965928, + "grad_norm": 1.1328125, + "learning_rate": 0.00010655445473551809, + "loss": 4.717, + "mean_token_accuracy": 0.2410126581788063, + "num_tokens": 16482605.0, + "step": 7340 + }, + { + "entropy": 5.527096271514893, + "epoch": 7.9410492157923205, + "grad_norm": 1.0078125, + "learning_rate": 0.00010627040104829658, + "loss": 4.8036, + "mean_token_accuracy": 0.2348283812403679, + "num_tokens": 16493951.0, + "step": 7345 + }, + { + "entropy": 5.456842517852783, + "epoch": 7.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00010598696052482759, + "loss": 4.6976, + "mean_token_accuracy": 0.24492332637310027, + "num_tokens": 16506236.0, + "step": 7350 + }, + { + "entropy": 5.3653977394104, + "epoch": 7.951865873445105, + "grad_norm": 1.1953125, + "learning_rate": 0.0001057041341951347, + "loss": 4.5836, + "mean_token_accuracy": 0.25700664669275286, + "num_tokens": 16518339.0, + "step": 7355 + }, + { + "entropy": 5.5039787769317625, + "epoch": 7.957274202271498, + "grad_norm": 1.109375, + "learning_rate": 0.00010542192308700925, + "loss": 4.696, + "mean_token_accuracy": 0.23916687071323395, + "num_tokens": 16528733.0, + "step": 7360 + }, + { + "entropy": 5.485801410675049, + "epoch": 7.962682531097891, + "grad_norm": 1.0078125, + "learning_rate": 0.00010514032822600733, + "loss": 4.7267, + "mean_token_accuracy": 0.2381901979446411, + "num_tokens": 16540776.0, + "step": 7365 + }, + { + "entropy": 5.451934957504273, + "epoch": 7.968090859924283, + "grad_norm": 1.046875, + "learning_rate": 0.00010485935063544507, + "loss": 4.689, + "mean_token_accuracy": 0.24322576075792313, + "num_tokens": 16550818.0, + "step": 7370 + }, + { + "entropy": 5.453809833526611, + "epoch": 7.973499188750676, + "grad_norm": 1.203125, + "learning_rate": 0.00010457899133639579, + "loss": 4.6948, + "mean_token_accuracy": 0.2377357676625252, + "num_tokens": 16561791.0, + "step": 7375 + }, + { + "entropy": 5.454491090774536, + "epoch": 7.978907517577069, + "grad_norm": 1.015625, + "learning_rate": 0.00010429925134768584, + "loss": 4.7094, + "mean_token_accuracy": 0.24362270534038544, + "num_tokens": 16573360.0, + "step": 7380 + }, + { + "entropy": 5.455304384231567, + "epoch": 7.984315846403462, + "grad_norm": 1.109375, + "learning_rate": 0.00010402013168589092, + "loss": 4.6871, + "mean_token_accuracy": 0.24073503017425538, + "num_tokens": 16584061.0, + "step": 7385 + }, + { + "entropy": 5.498722267150879, + "epoch": 7.9897241752298545, + "grad_norm": 1.1953125, + "learning_rate": 0.00010374163336533261, + "loss": 4.7115, + "mean_token_accuracy": 0.24242723137140273, + "num_tokens": 16594178.0, + "step": 7390 + }, + { + "entropy": 5.465503931045532, + "epoch": 7.995132504056246, + "grad_norm": 1.0625, + "learning_rate": 0.00010346375739807448, + "loss": 4.7691, + "mean_token_accuracy": 0.23564232885837555, + "num_tokens": 16605577.0, + "step": 7395 + }, + { + "entropy": 5.464390542772081, + "epoch": 8.0, + "grad_norm": 1.7578125, + "learning_rate": 0.00010318650479391825, + "loss": 4.9279, + "mean_token_accuracy": 0.2289217991961373, + "num_tokens": 16615112.0, + "step": 7400 + }, + { + "entropy": 5.47802357673645, + "epoch": 8.005408328826393, + "grad_norm": 1.1015625, + "learning_rate": 0.00010290987656040076, + "loss": 4.6055, + "mean_token_accuracy": 0.250070184469223, + "num_tokens": 16625050.0, + "step": 7405 + }, + { + "entropy": 5.419842958450317, + "epoch": 8.010816657652786, + "grad_norm": 1.0234375, + "learning_rate": 0.00010263387370278948, + "loss": 4.6823, + "mean_token_accuracy": 0.24250650703907012, + "num_tokens": 16636536.0, + "step": 7410 + }, + { + "entropy": 5.510037469863891, + "epoch": 8.016224986479179, + "grad_norm": 1.046875, + "learning_rate": 0.0001023584972240795, + "loss": 4.6833, + "mean_token_accuracy": 0.2475518226623535, + "num_tokens": 16647439.0, + "step": 7415 + }, + { + "entropy": 5.482249116897583, + "epoch": 8.021633315305571, + "grad_norm": 0.9765625, + "learning_rate": 0.00010208374812498955, + "loss": 4.6558, + "mean_token_accuracy": 0.24430694729089736, + "num_tokens": 16659778.0, + "step": 7420 + }, + { + "entropy": 5.473934984207153, + "epoch": 8.027041644131963, + "grad_norm": 1.09375, + "learning_rate": 0.00010180962740395853, + "loss": 4.6552, + "mean_token_accuracy": 0.24364316910505296, + "num_tokens": 16671095.0, + "step": 7425 + }, + { + "entropy": 5.4153577327728275, + "epoch": 8.032449972958355, + "grad_norm": 1.1953125, + "learning_rate": 0.00010153613605714173, + "loss": 4.5976, + "mean_token_accuracy": 0.24691200405359268, + "num_tokens": 16682401.0, + "step": 7430 + }, + { + "entropy": 5.469314336776733, + "epoch": 8.037858301784748, + "grad_norm": 1.109375, + "learning_rate": 0.00010126327507840744, + "loss": 4.6506, + "mean_token_accuracy": 0.252379909157753, + "num_tokens": 16692606.0, + "step": 7435 + }, + { + "entropy": 5.410546731948853, + "epoch": 8.043266630611141, + "grad_norm": 1.1328125, + "learning_rate": 0.00010099104545933288, + "loss": 4.5712, + "mean_token_accuracy": 0.25820337384939196, + "num_tokens": 16704771.0, + "step": 7440 + }, + { + "entropy": 5.384668970108033, + "epoch": 8.048674959437534, + "grad_norm": 0.9375, + "learning_rate": 0.00010071944818920127, + "loss": 4.6552, + "mean_token_accuracy": 0.24849636107683182, + "num_tokens": 16717512.0, + "step": 7445 + }, + { + "entropy": 5.443715047836304, + "epoch": 8.054083288263927, + "grad_norm": 0.98046875, + "learning_rate": 0.0001004484842549978, + "loss": 4.6667, + "mean_token_accuracy": 0.24980415850877763, + "num_tokens": 16729457.0, + "step": 7450 + }, + { + "entropy": 5.450451183319092, + "epoch": 8.05949161709032, + "grad_norm": 1.0625, + "learning_rate": 0.00010017815464140583, + "loss": 4.6362, + "mean_token_accuracy": 0.25708851516246795, + "num_tokens": 16741195.0, + "step": 7455 + }, + { + "entropy": 5.417760133743286, + "epoch": 8.064899945916713, + "grad_norm": 1.1640625, + "learning_rate": 9.990846033080389e-05, + "loss": 4.6228, + "mean_token_accuracy": 0.2414257511496544, + "num_tokens": 16752261.0, + "step": 7460 + }, + { + "entropy": 5.442473030090332, + "epoch": 8.070308274743104, + "grad_norm": 1.1953125, + "learning_rate": 9.963940230326176e-05, + "loss": 4.6233, + "mean_token_accuracy": 0.26104655861854553, + "num_tokens": 16763492.0, + "step": 7465 + }, + { + "entropy": 5.4000101566314695, + "epoch": 8.075716603569496, + "grad_norm": 1.0703125, + "learning_rate": 9.937098153653687e-05, + "loss": 4.6045, + "mean_token_accuracy": 0.2507203996181488, + "num_tokens": 16775218.0, + "step": 7470 + }, + { + "entropy": 5.359610509872437, + "epoch": 8.08112493239589, + "grad_norm": 1.078125, + "learning_rate": 9.910319900607104e-05, + "loss": 4.5564, + "mean_token_accuracy": 0.24946845918893815, + "num_tokens": 16786589.0, + "step": 7475 + }, + { + "entropy": 5.432454395294189, + "epoch": 8.086533261222282, + "grad_norm": 1.046875, + "learning_rate": 9.883605568498635e-05, + "loss": 4.5938, + "mean_token_accuracy": 0.25214662700891494, + "num_tokens": 16798308.0, + "step": 7480 + }, + { + "entropy": 5.478470659255981, + "epoch": 8.091941590048675, + "grad_norm": 1.046875, + "learning_rate": 9.856955254408248e-05, + "loss": 4.7026, + "mean_token_accuracy": 0.24253612458705903, + "num_tokens": 16810039.0, + "step": 7485 + }, + { + "entropy": 5.3934972286224365, + "epoch": 8.097349918875068, + "grad_norm": 1.1796875, + "learning_rate": 9.830369055183244e-05, + "loss": 4.6452, + "mean_token_accuracy": 0.24484411627054214, + "num_tokens": 16820571.0, + "step": 7490 + }, + { + "entropy": 5.449046611785889, + "epoch": 8.10275824770146, + "grad_norm": 1.1640625, + "learning_rate": 9.80384706743792e-05, + "loss": 4.625, + "mean_token_accuracy": 0.24314706325531005, + "num_tokens": 16831165.0, + "step": 7495 + }, + { + "entropy": 5.5349438190460205, + "epoch": 8.108166576527854, + "grad_norm": 1.0625, + "learning_rate": 9.777389387553243e-05, + "loss": 4.7445, + "mean_token_accuracy": 0.23332213163375853, + "num_tokens": 16842599.0, + "step": 7500 + }, + { + "epoch": 8.108166576527854, + "eval_entropy": 5.340487690405412, + "eval_loss": 5.837372303009033, + "eval_mean_token_accuracy": 0.18408739008009434, + "eval_num_tokens": 16842599.0, + "eval_runtime": 3.5461, + "eval_samples_per_second": 991.217, + "eval_steps_per_second": 124.078, + "step": 7500 + }, + { + "entropy": 5.510523986816406, + "epoch": 8.113574905354245, + "grad_norm": 1.1171875, + "learning_rate": 9.750996111676497e-05, + "loss": 4.7427, + "mean_token_accuracy": 0.24279462695121765, + "num_tokens": 16854408.0, + "step": 7505 + }, + { + "entropy": 5.551241254806518, + "epoch": 8.118983234180638, + "grad_norm": 1.203125, + "learning_rate": 9.724667335720894e-05, + "loss": 4.7255, + "mean_token_accuracy": 0.24231787472963334, + "num_tokens": 16865662.0, + "step": 7510 + }, + { + "entropy": 5.5055968284606935, + "epoch": 8.12439156300703, + "grad_norm": 1.125, + "learning_rate": 9.698403155365268e-05, + "loss": 4.6819, + "mean_token_accuracy": 0.250739324092865, + "num_tokens": 16876621.0, + "step": 7515 + }, + { + "entropy": 5.438814687728882, + "epoch": 8.129799891833423, + "grad_norm": 1.0234375, + "learning_rate": 9.672203666053714e-05, + "loss": 4.6423, + "mean_token_accuracy": 0.24598823934793473, + "num_tokens": 16888989.0, + "step": 7520 + }, + { + "entropy": 5.513745975494385, + "epoch": 8.135208220659816, + "grad_norm": 1.1484375, + "learning_rate": 9.646068962995235e-05, + "loss": 4.7414, + "mean_token_accuracy": 0.23878957331180573, + "num_tokens": 16900153.0, + "step": 7525 + }, + { + "entropy": 5.413127660751343, + "epoch": 8.140616549486209, + "grad_norm": 0.9609375, + "learning_rate": 9.619999141163415e-05, + "loss": 4.7135, + "mean_token_accuracy": 0.2399488776922226, + "num_tokens": 16913304.0, + "step": 7530 + }, + { + "entropy": 5.470810413360596, + "epoch": 8.146024878312602, + "grad_norm": 1.046875, + "learning_rate": 9.593994295296024e-05, + "loss": 4.6999, + "mean_token_accuracy": 0.2426486998796463, + "num_tokens": 16925050.0, + "step": 7535 + }, + { + "entropy": 5.3831323146820065, + "epoch": 8.151433207138995, + "grad_norm": 1.1953125, + "learning_rate": 9.56805451989474e-05, + "loss": 4.6595, + "mean_token_accuracy": 0.2414674863219261, + "num_tokens": 16935940.0, + "step": 7540 + }, + { + "entropy": 5.490802860260009, + "epoch": 8.156841535965386, + "grad_norm": 1.1171875, + "learning_rate": 9.54217990922478e-05, + "loss": 4.6986, + "mean_token_accuracy": 0.2410563424229622, + "num_tokens": 16947285.0, + "step": 7545 + }, + { + "entropy": 5.424769496917724, + "epoch": 8.162249864791779, + "grad_norm": 1.0703125, + "learning_rate": 9.516370557314525e-05, + "loss": 4.5926, + "mean_token_accuracy": 0.2493278279900551, + "num_tokens": 16958781.0, + "step": 7550 + }, + { + "entropy": 5.430429935455322, + "epoch": 8.167658193618172, + "grad_norm": 1.046875, + "learning_rate": 9.490626557955221e-05, + "loss": 4.6489, + "mean_token_accuracy": 0.25174000561237336, + "num_tokens": 16970277.0, + "step": 7555 + }, + { + "entropy": 5.525951814651489, + "epoch": 8.173066522444564, + "grad_norm": 1.0703125, + "learning_rate": 9.464948004700626e-05, + "loss": 4.6902, + "mean_token_accuracy": 0.2522933125495911, + "num_tokens": 16983250.0, + "step": 7560 + }, + { + "entropy": 5.472453880310058, + "epoch": 8.178474851270957, + "grad_norm": 1.1328125, + "learning_rate": 9.439334990866658e-05, + "loss": 4.6654, + "mean_token_accuracy": 0.25425503104925157, + "num_tokens": 16994531.0, + "step": 7565 + }, + { + "entropy": 5.477163600921631, + "epoch": 8.18388318009735, + "grad_norm": 1.21875, + "learning_rate": 9.413787609531072e-05, + "loss": 4.6674, + "mean_token_accuracy": 0.25146382600069045, + "num_tokens": 17006107.0, + "step": 7570 + }, + { + "entropy": 5.489937686920166, + "epoch": 8.189291508923743, + "grad_norm": 1.1640625, + "learning_rate": 9.38830595353311e-05, + "loss": 4.723, + "mean_token_accuracy": 0.23688765317201615, + "num_tokens": 17017243.0, + "step": 7575 + }, + { + "entropy": 5.47594690322876, + "epoch": 8.194699837750136, + "grad_norm": 1.109375, + "learning_rate": 9.362890115473161e-05, + "loss": 4.6277, + "mean_token_accuracy": 0.24465895891189576, + "num_tokens": 17026915.0, + "step": 7580 + }, + { + "entropy": 5.454527521133423, + "epoch": 8.200108166576527, + "grad_norm": 1.1875, + "learning_rate": 9.337540187712453e-05, + "loss": 4.6434, + "mean_token_accuracy": 0.24471478015184403, + "num_tokens": 17036135.0, + "step": 7585 + }, + { + "entropy": 5.448494863510132, + "epoch": 8.20551649540292, + "grad_norm": 1.0703125, + "learning_rate": 9.312256262372674e-05, + "loss": 4.6166, + "mean_token_accuracy": 0.24890027344226837, + "num_tokens": 17046660.0, + "step": 7590 + }, + { + "entropy": 5.412955474853516, + "epoch": 8.210924824229313, + "grad_norm": 1.015625, + "learning_rate": 9.28703843133566e-05, + "loss": 4.6016, + "mean_token_accuracy": 0.25200228542089465, + "num_tokens": 17057923.0, + "step": 7595 + }, + { + "entropy": 5.4411906719207765, + "epoch": 8.216333153055706, + "grad_norm": 1.109375, + "learning_rate": 9.261886786243087e-05, + "loss": 4.6702, + "mean_token_accuracy": 0.24631363600492479, + "num_tokens": 17070053.0, + "step": 7600 + }, + { + "entropy": 5.477663946151734, + "epoch": 8.221741481882098, + "grad_norm": 0.98828125, + "learning_rate": 9.236801418496071e-05, + "loss": 4.6878, + "mean_token_accuracy": 0.24161387532949447, + "num_tokens": 17082311.0, + "step": 7605 + }, + { + "entropy": 5.457633399963379, + "epoch": 8.227149810708491, + "grad_norm": 1.0859375, + "learning_rate": 9.21178241925491e-05, + "loss": 4.7561, + "mean_token_accuracy": 0.23157817274332046, + "num_tokens": 17093073.0, + "step": 7610 + }, + { + "entropy": 5.4540486335754395, + "epoch": 8.232558139534884, + "grad_norm": 1.21875, + "learning_rate": 9.186829879438696e-05, + "loss": 4.6082, + "mean_token_accuracy": 0.24863191395998002, + "num_tokens": 17102753.0, + "step": 7615 + }, + { + "entropy": 5.433753538131714, + "epoch": 8.237966468361277, + "grad_norm": 1.1328125, + "learning_rate": 9.161943889725021e-05, + "loss": 4.6471, + "mean_token_accuracy": 0.24726097136735917, + "num_tokens": 17113519.0, + "step": 7620 + }, + { + "entropy": 5.47761344909668, + "epoch": 8.24337479718767, + "grad_norm": 1.015625, + "learning_rate": 9.137124540549638e-05, + "loss": 4.6522, + "mean_token_accuracy": 0.2481951430439949, + "num_tokens": 17125634.0, + "step": 7625 + }, + { + "entropy": 5.453316879272461, + "epoch": 8.248783126014061, + "grad_norm": 1.0390625, + "learning_rate": 9.1123719221061e-05, + "loss": 4.6028, + "mean_token_accuracy": 0.24958553910255432, + "num_tokens": 17136982.0, + "step": 7630 + }, + { + "entropy": 5.421119499206543, + "epoch": 8.254191454840454, + "grad_norm": 1.0703125, + "learning_rate": 9.087686124345486e-05, + "loss": 4.6542, + "mean_token_accuracy": 0.2427103653550148, + "num_tokens": 17148299.0, + "step": 7635 + }, + { + "entropy": 5.43115816116333, + "epoch": 8.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 9.063067236976055e-05, + "loss": 4.663, + "mean_token_accuracy": 0.24270786195993424, + "num_tokens": 17161224.0, + "step": 7640 + }, + { + "entropy": 5.372230863571167, + "epoch": 8.26500811249324, + "grad_norm": 1.125, + "learning_rate": 9.038515349462887e-05, + "loss": 4.5896, + "mean_token_accuracy": 0.2515710100531578, + "num_tokens": 17172406.0, + "step": 7645 + }, + { + "entropy": 5.51184229850769, + "epoch": 8.270416441319632, + "grad_norm": 1.1171875, + "learning_rate": 9.014030551027601e-05, + "loss": 4.677, + "mean_token_accuracy": 0.24752892255783082, + "num_tokens": 17182626.0, + "step": 7650 + }, + { + "entropy": 5.4033996105194095, + "epoch": 8.275824770146025, + "grad_norm": 1.0859375, + "learning_rate": 8.989612930648014e-05, + "loss": 4.6386, + "mean_token_accuracy": 0.24435791075229646, + "num_tokens": 17195651.0, + "step": 7655 + }, + { + "entropy": 5.3988096714019775, + "epoch": 8.281233098972418, + "grad_norm": 1.1640625, + "learning_rate": 8.965262577057811e-05, + "loss": 4.6546, + "mean_token_accuracy": 0.24611509889364241, + "num_tokens": 17207321.0, + "step": 7660 + }, + { + "entropy": 5.416755819320679, + "epoch": 8.286641427798811, + "grad_norm": 1.1484375, + "learning_rate": 8.940979578746236e-05, + "loss": 4.638, + "mean_token_accuracy": 0.24601612091064454, + "num_tokens": 17218212.0, + "step": 7665 + }, + { + "entropy": 5.477891826629639, + "epoch": 8.292049756625202, + "grad_norm": 1.03125, + "learning_rate": 8.916764023957766e-05, + "loss": 4.679, + "mean_token_accuracy": 0.247437746822834, + "num_tokens": 17230095.0, + "step": 7670 + }, + { + "entropy": 5.513516521453857, + "epoch": 8.297458085451595, + "grad_norm": 1.0234375, + "learning_rate": 8.892616000691766e-05, + "loss": 4.7701, + "mean_token_accuracy": 0.230373752117157, + "num_tokens": 17241380.0, + "step": 7675 + }, + { + "entropy": 5.423999786376953, + "epoch": 8.302866414277988, + "grad_norm": 1.1328125, + "learning_rate": 8.868535596702232e-05, + "loss": 4.6416, + "mean_token_accuracy": 0.2471378907561302, + "num_tokens": 17252136.0, + "step": 7680 + }, + { + "entropy": 5.430491876602173, + "epoch": 8.30827474310438, + "grad_norm": 1.15625, + "learning_rate": 8.844522899497387e-05, + "loss": 4.656, + "mean_token_accuracy": 0.24410931318998336, + "num_tokens": 17263150.0, + "step": 7685 + }, + { + "entropy": 5.36441330909729, + "epoch": 8.313683071930773, + "grad_norm": 0.9921875, + "learning_rate": 8.82057799633944e-05, + "loss": 4.6102, + "mean_token_accuracy": 0.24801189452409744, + "num_tokens": 17274993.0, + "step": 7690 + }, + { + "entropy": 5.445087242126465, + "epoch": 8.319091400757166, + "grad_norm": 1.0, + "learning_rate": 8.796700974244218e-05, + "loss": 4.6538, + "mean_token_accuracy": 0.2468579575419426, + "num_tokens": 17286559.0, + "step": 7695 + }, + { + "entropy": 5.4774007320404055, + "epoch": 8.32449972958356, + "grad_norm": 1.03125, + "learning_rate": 8.772891919980881e-05, + "loss": 4.6347, + "mean_token_accuracy": 0.25522580146789553, + "num_tokens": 17298034.0, + "step": 7700 + }, + { + "entropy": 5.443531227111817, + "epoch": 8.329908058409952, + "grad_norm": 1.109375, + "learning_rate": 8.74915092007158e-05, + "loss": 4.5536, + "mean_token_accuracy": 0.2588231563568115, + "num_tokens": 17309311.0, + "step": 7705 + }, + { + "entropy": 5.436644506454468, + "epoch": 8.335316387236343, + "grad_norm": 1.0859375, + "learning_rate": 8.725478060791175e-05, + "loss": 4.63, + "mean_token_accuracy": 0.2503485336899757, + "num_tokens": 17320414.0, + "step": 7710 + }, + { + "entropy": 5.484864139556885, + "epoch": 8.340724716062736, + "grad_norm": 1.03125, + "learning_rate": 8.701873428166874e-05, + "loss": 4.7094, + "mean_token_accuracy": 0.23894457817077636, + "num_tokens": 17330743.0, + "step": 7715 + }, + { + "entropy": 5.41112003326416, + "epoch": 8.346133044889129, + "grad_norm": 1.109375, + "learning_rate": 8.678337107977976e-05, + "loss": 4.6906, + "mean_token_accuracy": 0.24522272795438765, + "num_tokens": 17341636.0, + "step": 7720 + }, + { + "entropy": 5.43557071685791, + "epoch": 8.351541373715522, + "grad_norm": 1.171875, + "learning_rate": 8.654869185755532e-05, + "loss": 4.6792, + "mean_token_accuracy": 0.24282750189304353, + "num_tokens": 17352979.0, + "step": 7725 + }, + { + "entropy": 5.420865249633789, + "epoch": 8.356949702541915, + "grad_norm": 1.0390625, + "learning_rate": 8.631469746782011e-05, + "loss": 4.6896, + "mean_token_accuracy": 0.24247679114341736, + "num_tokens": 17364723.0, + "step": 7730 + }, + { + "entropy": 5.46372127532959, + "epoch": 8.362358031368307, + "grad_norm": 1.171875, + "learning_rate": 8.608138876091036e-05, + "loss": 4.7249, + "mean_token_accuracy": 0.24166302531957626, + "num_tokens": 17375078.0, + "step": 7735 + }, + { + "entropy": 5.469405889511108, + "epoch": 8.3677663601947, + "grad_norm": 1.2109375, + "learning_rate": 8.584876658467041e-05, + "loss": 4.7255, + "mean_token_accuracy": 0.23645605146884918, + "num_tokens": 17386414.0, + "step": 7740 + }, + { + "entropy": 5.4496986865997314, + "epoch": 8.373174689021093, + "grad_norm": 1.0703125, + "learning_rate": 8.561683178444979e-05, + "loss": 4.6594, + "mean_token_accuracy": 0.2442307636141777, + "num_tokens": 17397756.0, + "step": 7745 + }, + { + "entropy": 5.452625465393067, + "epoch": 8.378583017847484, + "grad_norm": 1.0703125, + "learning_rate": 8.53855852031002e-05, + "loss": 4.6075, + "mean_token_accuracy": 0.253352677822113, + "num_tokens": 17408425.0, + "step": 7750 + }, + { + "entropy": 5.42819299697876, + "epoch": 8.383991346673877, + "grad_norm": 1.015625, + "learning_rate": 8.515502768097204e-05, + "loss": 4.6591, + "mean_token_accuracy": 0.24390488117933273, + "num_tokens": 17420746.0, + "step": 7755 + }, + { + "entropy": 5.491825294494629, + "epoch": 8.38939967550027, + "grad_norm": 1.0625, + "learning_rate": 8.492516005591204e-05, + "loss": 4.618, + "mean_token_accuracy": 0.2515882387757301, + "num_tokens": 17431634.0, + "step": 7760 + }, + { + "entropy": 5.458147192001343, + "epoch": 8.394808004326663, + "grad_norm": 1.1171875, + "learning_rate": 8.469598316325971e-05, + "loss": 4.627, + "mean_token_accuracy": 0.2455772191286087, + "num_tokens": 17442069.0, + "step": 7765 + }, + { + "entropy": 5.534485006332398, + "epoch": 8.400216333153056, + "grad_norm": 1.140625, + "learning_rate": 8.446749783584432e-05, + "loss": 4.7496, + "mean_token_accuracy": 0.23464579731225968, + "num_tokens": 17451921.0, + "step": 7770 + }, + { + "entropy": 5.427454423904419, + "epoch": 8.405624661979449, + "grad_norm": 1.03125, + "learning_rate": 8.423970490398206e-05, + "loss": 4.6487, + "mean_token_accuracy": 0.24904445707798004, + "num_tokens": 17463804.0, + "step": 7775 + }, + { + "entropy": 5.434597206115723, + "epoch": 8.411032990805841, + "grad_norm": 1.0859375, + "learning_rate": 8.401260519547305e-05, + "loss": 4.6277, + "mean_token_accuracy": 0.25252015292644503, + "num_tokens": 17474682.0, + "step": 7780 + }, + { + "entropy": 5.393816661834717, + "epoch": 8.416441319632234, + "grad_norm": 1.1171875, + "learning_rate": 8.378619953559807e-05, + "loss": 4.6437, + "mean_token_accuracy": 0.24663667976856232, + "num_tokens": 17486272.0, + "step": 7785 + }, + { + "entropy": 5.512399053573608, + "epoch": 8.421849648458625, + "grad_norm": 1.0234375, + "learning_rate": 8.356048874711589e-05, + "loss": 4.7778, + "mean_token_accuracy": 0.23102400749921798, + "num_tokens": 17498422.0, + "step": 7790 + }, + { + "entropy": 5.477883625030517, + "epoch": 8.427257977285018, + "grad_norm": 1.0859375, + "learning_rate": 8.333547365026e-05, + "loss": 4.6951, + "mean_token_accuracy": 0.23685057312250138, + "num_tokens": 17509923.0, + "step": 7795 + }, + { + "entropy": 5.437692546844483, + "epoch": 8.432666306111411, + "grad_norm": 1.046875, + "learning_rate": 8.311115506273579e-05, + "loss": 4.6192, + "mean_token_accuracy": 0.2497318670153618, + "num_tokens": 17520962.0, + "step": 7800 + }, + { + "entropy": 5.402871131896973, + "epoch": 8.438074634937804, + "grad_norm": 1.09375, + "learning_rate": 8.288753379971756e-05, + "loss": 4.6266, + "mean_token_accuracy": 0.24970309883356095, + "num_tokens": 17532336.0, + "step": 7805 + }, + { + "entropy": 5.457163095474243, + "epoch": 8.443482963764197, + "grad_norm": 1.2109375, + "learning_rate": 8.26646106738454e-05, + "loss": 4.6119, + "mean_token_accuracy": 0.25259271264076233, + "num_tokens": 17541684.0, + "step": 7810 + }, + { + "entropy": 5.452897691726685, + "epoch": 8.44889129259059, + "grad_norm": 1.21875, + "learning_rate": 8.244238649522249e-05, + "loss": 4.5603, + "mean_token_accuracy": 0.25624964386224747, + "num_tokens": 17551788.0, + "step": 7815 + }, + { + "entropy": 5.434674072265625, + "epoch": 8.454299621416983, + "grad_norm": 1.09375, + "learning_rate": 8.222086207141214e-05, + "loss": 4.7034, + "mean_token_accuracy": 0.24153718799352647, + "num_tokens": 17563292.0, + "step": 7820 + }, + { + "entropy": 5.4834681987762455, + "epoch": 8.459707950243375, + "grad_norm": 1.09375, + "learning_rate": 8.200003820743449e-05, + "loss": 4.6607, + "mean_token_accuracy": 0.25238813906908036, + "num_tokens": 17574305.0, + "step": 7825 + }, + { + "entropy": 5.453549385070801, + "epoch": 8.465116279069768, + "grad_norm": 1.2109375, + "learning_rate": 8.177991570576396e-05, + "loss": 4.6202, + "mean_token_accuracy": 0.24570186734199523, + "num_tokens": 17584448.0, + "step": 7830 + }, + { + "entropy": 5.4401407718658445, + "epoch": 8.47052460789616, + "grad_norm": 1.078125, + "learning_rate": 8.156049536632629e-05, + "loss": 4.6348, + "mean_token_accuracy": 0.25061688870191573, + "num_tokens": 17595877.0, + "step": 7835 + }, + { + "entropy": 5.437603902816773, + "epoch": 8.475932936722552, + "grad_norm": 1.125, + "learning_rate": 8.13417779864955e-05, + "loss": 4.655, + "mean_token_accuracy": 0.24989775121212005, + "num_tokens": 17608164.0, + "step": 7840 + }, + { + "entropy": 5.408649158477783, + "epoch": 8.481341265548945, + "grad_norm": 1.15625, + "learning_rate": 8.112376436109107e-05, + "loss": 4.6133, + "mean_token_accuracy": 0.24967734962701799, + "num_tokens": 17619098.0, + "step": 7845 + }, + { + "entropy": 5.387372636795044, + "epoch": 8.486749594375338, + "grad_norm": 1.1328125, + "learning_rate": 8.090645528237493e-05, + "loss": 4.6169, + "mean_token_accuracy": 0.24099100679159163, + "num_tokens": 17630032.0, + "step": 7850 + }, + { + "entropy": 5.445199394226075, + "epoch": 8.49215792320173, + "grad_norm": 1.0859375, + "learning_rate": 8.068985154004879e-05, + "loss": 4.6272, + "mean_token_accuracy": 0.2506523698568344, + "num_tokens": 17641127.0, + "step": 7855 + }, + { + "entropy": 5.47921142578125, + "epoch": 8.497566252028124, + "grad_norm": 1.125, + "learning_rate": 8.047395392125126e-05, + "loss": 4.6752, + "mean_token_accuracy": 0.2440624639391899, + "num_tokens": 17652944.0, + "step": 7860 + }, + { + "entropy": 5.394153451919555, + "epoch": 8.502974580854517, + "grad_norm": 1.140625, + "learning_rate": 8.02587632105547e-05, + "loss": 4.562, + "mean_token_accuracy": 0.24257596880197524, + "num_tokens": 17664345.0, + "step": 7865 + }, + { + "entropy": 5.485877227783203, + "epoch": 8.50838290968091, + "grad_norm": 1.03125, + "learning_rate": 8.004428018996264e-05, + "loss": 4.6301, + "mean_token_accuracy": 0.24969162791967392, + "num_tokens": 17674314.0, + "step": 7870 + }, + { + "entropy": 5.3833784580230715, + "epoch": 8.5137912385073, + "grad_norm": 1.2109375, + "learning_rate": 7.983050563890692e-05, + "loss": 4.6665, + "mean_token_accuracy": 0.2468141570687294, + "num_tokens": 17685338.0, + "step": 7875 + }, + { + "entropy": 5.4162355899810795, + "epoch": 8.519199567333693, + "grad_norm": 1.1328125, + "learning_rate": 7.961744033424473e-05, + "loss": 4.6645, + "mean_token_accuracy": 0.24835647493600846, + "num_tokens": 17695954.0, + "step": 7880 + }, + { + "entropy": 5.433167791366577, + "epoch": 8.524607896160086, + "grad_norm": 1.0703125, + "learning_rate": 7.940508505025586e-05, + "loss": 4.6433, + "mean_token_accuracy": 0.24660401791334152, + "num_tokens": 17706627.0, + "step": 7885 + }, + { + "entropy": 5.4570776462554935, + "epoch": 8.530016224986479, + "grad_norm": 1.1640625, + "learning_rate": 7.919344055863997e-05, + "loss": 4.6834, + "mean_token_accuracy": 0.250008362531662, + "num_tokens": 17716810.0, + "step": 7890 + }, + { + "entropy": 5.5049059867858885, + "epoch": 8.535424553812872, + "grad_norm": 1.046875, + "learning_rate": 7.89825076285135e-05, + "loss": 4.7199, + "mean_token_accuracy": 0.23966176211833953, + "num_tokens": 17727429.0, + "step": 7895 + }, + { + "entropy": 5.476928472518921, + "epoch": 8.540832882639265, + "grad_norm": 1.2265625, + "learning_rate": 7.877228702640739e-05, + "loss": 4.6414, + "mean_token_accuracy": 0.251692995429039, + "num_tokens": 17737198.0, + "step": 7900 + }, + { + "entropy": 5.452701568603516, + "epoch": 8.546241211465658, + "grad_norm": 1.1640625, + "learning_rate": 7.856277951626363e-05, + "loss": 4.6524, + "mean_token_accuracy": 0.24492272585630417, + "num_tokens": 17747288.0, + "step": 7905 + }, + { + "entropy": 5.419731569290161, + "epoch": 8.55164954029205, + "grad_norm": 1.0, + "learning_rate": 7.835398585943307e-05, + "loss": 4.732, + "mean_token_accuracy": 0.23216305673122406, + "num_tokens": 17759238.0, + "step": 7910 + }, + { + "entropy": 5.453393936157227, + "epoch": 8.557057869118442, + "grad_norm": 1.15625, + "learning_rate": 7.814590681467235e-05, + "loss": 4.6298, + "mean_token_accuracy": 0.25046600997447965, + "num_tokens": 17769306.0, + "step": 7915 + }, + { + "entropy": 5.433558702468872, + "epoch": 8.562466197944834, + "grad_norm": 1.046875, + "learning_rate": 7.793854313814114e-05, + "loss": 4.6433, + "mean_token_accuracy": 0.24308221340179442, + "num_tokens": 17780446.0, + "step": 7920 + }, + { + "entropy": 5.447643804550171, + "epoch": 8.567874526771227, + "grad_norm": 1.109375, + "learning_rate": 7.773189558339956e-05, + "loss": 4.6103, + "mean_token_accuracy": 0.2464235916733742, + "num_tokens": 17791217.0, + "step": 7925 + }, + { + "entropy": 5.39156494140625, + "epoch": 8.57328285559762, + "grad_norm": 1.0625, + "learning_rate": 7.752596490140537e-05, + "loss": 4.5492, + "mean_token_accuracy": 0.25537085682153704, + "num_tokens": 17802755.0, + "step": 7930 + }, + { + "entropy": 5.400811100006104, + "epoch": 8.578691184424013, + "grad_norm": 1.1484375, + "learning_rate": 7.732075184051098e-05, + "loss": 4.6145, + "mean_token_accuracy": 0.25341652184724806, + "num_tokens": 17814466.0, + "step": 7935 + }, + { + "entropy": 5.538357973098755, + "epoch": 8.584099513250406, + "grad_norm": 1.125, + "learning_rate": 7.711625714646127e-05, + "loss": 4.7818, + "mean_token_accuracy": 0.23865888118743897, + "num_tokens": 17826561.0, + "step": 7940 + }, + { + "entropy": 5.494115400314331, + "epoch": 8.589507842076799, + "grad_norm": 1.1796875, + "learning_rate": 7.691248156239041e-05, + "loss": 4.6958, + "mean_token_accuracy": 0.242883163690567, + "num_tokens": 17837219.0, + "step": 7945 + }, + { + "entropy": 5.448954963684082, + "epoch": 8.594916170903192, + "grad_norm": 1.1171875, + "learning_rate": 7.670942582881931e-05, + "loss": 4.633, + "mean_token_accuracy": 0.24463047534227372, + "num_tokens": 17848173.0, + "step": 7950 + }, + { + "entropy": 5.405515670776367, + "epoch": 8.600324499729584, + "grad_norm": 1.0234375, + "learning_rate": 7.650709068365295e-05, + "loss": 4.587, + "mean_token_accuracy": 0.25289051979780197, + "num_tokens": 17858073.0, + "step": 7955 + }, + { + "entropy": 5.493569231033325, + "epoch": 8.605732828555976, + "grad_norm": 0.94921875, + "learning_rate": 7.630547686217774e-05, + "loss": 4.7385, + "mean_token_accuracy": 0.2438815712928772, + "num_tokens": 17871842.0, + "step": 7960 + }, + { + "entropy": 5.384715127944946, + "epoch": 8.611141157382368, + "grad_norm": 1.1328125, + "learning_rate": 7.61045850970588e-05, + "loss": 4.6016, + "mean_token_accuracy": 0.25172372758388517, + "num_tokens": 17883217.0, + "step": 7965 + }, + { + "entropy": 5.440554094314575, + "epoch": 8.616549486208761, + "grad_norm": 1.0234375, + "learning_rate": 7.59044161183373e-05, + "loss": 4.6496, + "mean_token_accuracy": 0.24046091884374618, + "num_tokens": 17895606.0, + "step": 7970 + }, + { + "entropy": 5.4395688533782955, + "epoch": 8.621957815035154, + "grad_norm": 1.078125, + "learning_rate": 7.570497065342762e-05, + "loss": 4.6126, + "mean_token_accuracy": 0.24324086010456086, + "num_tokens": 17906444.0, + "step": 7975 + }, + { + "entropy": 5.481838798522949, + "epoch": 8.627366143861547, + "grad_norm": 1.1015625, + "learning_rate": 7.550624942711517e-05, + "loss": 4.6844, + "mean_token_accuracy": 0.2452366203069687, + "num_tokens": 17917019.0, + "step": 7980 + }, + { + "entropy": 5.398834466934204, + "epoch": 8.63277447268794, + "grad_norm": 1.109375, + "learning_rate": 7.530825316155337e-05, + "loss": 4.5774, + "mean_token_accuracy": 0.25428382158279417, + "num_tokens": 17927930.0, + "step": 7985 + }, + { + "entropy": 5.45563907623291, + "epoch": 8.638182801514333, + "grad_norm": 1.2265625, + "learning_rate": 7.511098257626101e-05, + "loss": 4.6169, + "mean_token_accuracy": 0.24270703941583632, + "num_tokens": 17938820.0, + "step": 7990 + }, + { + "entropy": 5.479223585128784, + "epoch": 8.643591130340724, + "grad_norm": 1.1875, + "learning_rate": 7.491443838811991e-05, + "loss": 4.6911, + "mean_token_accuracy": 0.24639520347118377, + "num_tokens": 17949334.0, + "step": 7995 + }, + { + "entropy": 5.448716497421264, + "epoch": 8.648999459167117, + "grad_norm": 1.1015625, + "learning_rate": 7.47186213113721e-05, + "loss": 4.641, + "mean_token_accuracy": 0.25038540065288545, + "num_tokens": 17961454.0, + "step": 8000 + }, + { + "epoch": 8.648999459167117, + "eval_entropy": 5.362871633876454, + "eval_loss": 5.8378705978393555, + "eval_mean_token_accuracy": 0.1841868094761263, + "eval_num_tokens": 17961454.0, + "eval_runtime": 5.2454, + "eval_samples_per_second": 670.115, + "eval_steps_per_second": 83.884, + "step": 8000 + }, + { + "entropy": 5.4176562309265135, + "epoch": 8.65440778799351, + "grad_norm": 1.1875, + "learning_rate": 7.452353205761725e-05, + "loss": 4.6463, + "mean_token_accuracy": 0.24769691824913026, + "num_tokens": 17972430.0, + "step": 8005 + }, + { + "entropy": 5.4539412498474125, + "epoch": 8.659816116819902, + "grad_norm": 1.1015625, + "learning_rate": 7.432917133581019e-05, + "loss": 4.6646, + "mean_token_accuracy": 0.24635607451200486, + "num_tokens": 17983849.0, + "step": 8010 + }, + { + "entropy": 5.534650993347168, + "epoch": 8.665224445646295, + "grad_norm": 1.1796875, + "learning_rate": 7.413553985225824e-05, + "loss": 4.7258, + "mean_token_accuracy": 0.24364759922027587, + "num_tokens": 17994791.0, + "step": 8015 + }, + { + "entropy": 5.4380405902862545, + "epoch": 8.670632774472688, + "grad_norm": 1.1328125, + "learning_rate": 7.394263831061865e-05, + "loss": 4.5737, + "mean_token_accuracy": 0.261161758005619, + "num_tokens": 18005068.0, + "step": 8020 + }, + { + "entropy": 5.500995683670044, + "epoch": 8.676041103299081, + "grad_norm": 1.15625, + "learning_rate": 7.375046741189611e-05, + "loss": 4.7326, + "mean_token_accuracy": 0.2271594524383545, + "num_tokens": 18016610.0, + "step": 8025 + }, + { + "entropy": 5.442659044265747, + "epoch": 8.681449432125474, + "grad_norm": 1.1015625, + "learning_rate": 7.355902785444002e-05, + "loss": 4.6495, + "mean_token_accuracy": 0.24712285101413728, + "num_tokens": 18028854.0, + "step": 8030 + }, + { + "entropy": 5.454330205917358, + "epoch": 8.686857760951867, + "grad_norm": 1.0546875, + "learning_rate": 7.336832033394217e-05, + "loss": 4.6979, + "mean_token_accuracy": 0.24184783399105073, + "num_tokens": 18039766.0, + "step": 8035 + }, + { + "entropy": 5.488766717910766, + "epoch": 8.692266089778258, + "grad_norm": 1.15625, + "learning_rate": 7.317834554343429e-05, + "loss": 4.6348, + "mean_token_accuracy": 0.24834075421094895, + "num_tokens": 18049358.0, + "step": 8040 + }, + { + "entropy": 5.4261702537536625, + "epoch": 8.69767441860465, + "grad_norm": 1.0859375, + "learning_rate": 7.298910417328503e-05, + "loss": 4.6159, + "mean_token_accuracy": 0.2481824889779091, + "num_tokens": 18060274.0, + "step": 8045 + }, + { + "entropy": 5.394179582595825, + "epoch": 8.703082747431043, + "grad_norm": 1.125, + "learning_rate": 7.280059691119806e-05, + "loss": 4.5933, + "mean_token_accuracy": 0.24686106890439988, + "num_tokens": 18070688.0, + "step": 8050 + }, + { + "entropy": 5.46193299293518, + "epoch": 8.708491076257436, + "grad_norm": 1.171875, + "learning_rate": 7.261282444220917e-05, + "loss": 4.6791, + "mean_token_accuracy": 0.24510317593812941, + "num_tokens": 18081739.0, + "step": 8055 + }, + { + "entropy": 5.488187074661255, + "epoch": 8.71389940508383, + "grad_norm": 1.0546875, + "learning_rate": 7.242578744868395e-05, + "loss": 4.7453, + "mean_token_accuracy": 0.23407671898603438, + "num_tokens": 18092978.0, + "step": 8060 + }, + { + "entropy": 5.4217125415802006, + "epoch": 8.719307733910222, + "grad_norm": 1.0, + "learning_rate": 7.223948661031534e-05, + "loss": 4.6872, + "mean_token_accuracy": 0.2450122743844986, + "num_tokens": 18104649.0, + "step": 8065 + }, + { + "entropy": 5.453090620040894, + "epoch": 8.724716062736615, + "grad_norm": 1.0703125, + "learning_rate": 7.205392260412088e-05, + "loss": 4.6549, + "mean_token_accuracy": 0.24633828997612, + "num_tokens": 18115640.0, + "step": 8070 + }, + { + "entropy": 5.379146337509155, + "epoch": 8.730124391563008, + "grad_norm": 1.0703125, + "learning_rate": 7.186909610444065e-05, + "loss": 4.6424, + "mean_token_accuracy": 0.24719825387001038, + "num_tokens": 18126599.0, + "step": 8075 + }, + { + "entropy": 5.4903511047363285, + "epoch": 8.735532720389399, + "grad_norm": 1.078125, + "learning_rate": 7.168500778293466e-05, + "loss": 4.7223, + "mean_token_accuracy": 0.24441612362861634, + "num_tokens": 18137961.0, + "step": 8080 + }, + { + "entropy": 5.5881280422210695, + "epoch": 8.740941049215792, + "grad_norm": 1.0390625, + "learning_rate": 7.15016583085802e-05, + "loss": 4.7907, + "mean_token_accuracy": 0.23955046236515046, + "num_tokens": 18150167.0, + "step": 8085 + }, + { + "entropy": 5.559327507019043, + "epoch": 8.746349378042185, + "grad_norm": 1.1484375, + "learning_rate": 7.131904834766973e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.24419869780540465, + "num_tokens": 18162320.0, + "step": 8090 + }, + { + "entropy": 5.431235456466675, + "epoch": 8.751757706868577, + "grad_norm": 1.046875, + "learning_rate": 7.113717856380824e-05, + "loss": 4.633, + "mean_token_accuracy": 0.24960453659296036, + "num_tokens": 18174213.0, + "step": 8095 + }, + { + "entropy": 5.465347719192505, + "epoch": 8.75716603569497, + "grad_norm": 1.1796875, + "learning_rate": 7.095604961791095e-05, + "loss": 4.6465, + "mean_token_accuracy": 0.24582342952489852, + "num_tokens": 18184071.0, + "step": 8100 + }, + { + "entropy": 5.578960657119751, + "epoch": 8.762574364521363, + "grad_norm": 1.0, + "learning_rate": 7.077566216820089e-05, + "loss": 4.8045, + "mean_token_accuracy": 0.23988767862319946, + "num_tokens": 18197479.0, + "step": 8105 + }, + { + "entropy": 5.484675788879395, + "epoch": 8.767982693347756, + "grad_norm": 0.92578125, + "learning_rate": 7.059601687020647e-05, + "loss": 4.7403, + "mean_token_accuracy": 0.23554161190986633, + "num_tokens": 18209824.0, + "step": 8110 + }, + { + "entropy": 5.458296060562134, + "epoch": 8.773391022174149, + "grad_norm": 1.046875, + "learning_rate": 7.041711437675908e-05, + "loss": 4.663, + "mean_token_accuracy": 0.25326707512140273, + "num_tokens": 18221788.0, + "step": 8115 + }, + { + "entropy": 5.434906148910523, + "epoch": 8.77879935100054, + "grad_norm": 1.0703125, + "learning_rate": 7.023895533799087e-05, + "loss": 4.6358, + "mean_token_accuracy": 0.2397712364792824, + "num_tokens": 18233755.0, + "step": 8120 + }, + { + "entropy": 5.5003461837768555, + "epoch": 8.784207679826933, + "grad_norm": 1.1484375, + "learning_rate": 7.006154040133211e-05, + "loss": 4.7408, + "mean_token_accuracy": 0.2383201912045479, + "num_tokens": 18244591.0, + "step": 8125 + }, + { + "entropy": 5.487597846984864, + "epoch": 8.789616008653326, + "grad_norm": 1.1015625, + "learning_rate": 6.98848702115091e-05, + "loss": 4.6065, + "mean_token_accuracy": 0.24469293653964996, + "num_tokens": 18255928.0, + "step": 8130 + }, + { + "entropy": 5.466150331497192, + "epoch": 8.795024337479719, + "grad_norm": 1.125, + "learning_rate": 6.970894541054182e-05, + "loss": 4.6594, + "mean_token_accuracy": 0.2506978988647461, + "num_tokens": 18267288.0, + "step": 8135 + }, + { + "entropy": 5.474290609359741, + "epoch": 8.800432666306111, + "grad_norm": 1.0, + "learning_rate": 6.953376663774129e-05, + "loss": 4.7452, + "mean_token_accuracy": 0.24161359369754792, + "num_tokens": 18279045.0, + "step": 8140 + }, + { + "entropy": 5.455084800720215, + "epoch": 8.805840995132504, + "grad_norm": 1.09375, + "learning_rate": 6.935933452970762e-05, + "loss": 4.7037, + "mean_token_accuracy": 0.24813375771045684, + "num_tokens": 18291378.0, + "step": 8145 + }, + { + "entropy": 5.436138439178467, + "epoch": 8.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 6.918564972032745e-05, + "loss": 4.6137, + "mean_token_accuracy": 0.2471534177660942, + "num_tokens": 18303089.0, + "step": 8150 + }, + { + "entropy": 5.48180832862854, + "epoch": 8.81665765278529, + "grad_norm": 1.140625, + "learning_rate": 6.901271284077188e-05, + "loss": 4.67, + "mean_token_accuracy": 0.24351342618465424, + "num_tokens": 18313656.0, + "step": 8155 + }, + { + "entropy": 5.432670640945434, + "epoch": 8.822065981611683, + "grad_norm": 1.1796875, + "learning_rate": 6.884052451949382e-05, + "loss": 4.6431, + "mean_token_accuracy": 0.24915305525064468, + "num_tokens": 18324176.0, + "step": 8160 + }, + { + "entropy": 5.4484114170074465, + "epoch": 8.827474310438074, + "grad_norm": 1.140625, + "learning_rate": 6.866908538222611e-05, + "loss": 4.7349, + "mean_token_accuracy": 0.24104510098695756, + "num_tokens": 18336704.0, + "step": 8165 + }, + { + "entropy": 5.481381034851074, + "epoch": 8.832882639264467, + "grad_norm": 1.1484375, + "learning_rate": 6.84983960519789e-05, + "loss": 4.6698, + "mean_token_accuracy": 0.24722180962562562, + "num_tokens": 18346992.0, + "step": 8170 + }, + { + "entropy": 5.430476999282837, + "epoch": 8.83829096809086, + "grad_norm": 1.0078125, + "learning_rate": 6.83284571490377e-05, + "loss": 4.607, + "mean_token_accuracy": 0.25048110336065293, + "num_tokens": 18358244.0, + "step": 8175 + }, + { + "entropy": 5.436368036270141, + "epoch": 8.843699296917253, + "grad_norm": 1.0390625, + "learning_rate": 6.815926929096077e-05, + "loss": 4.6756, + "mean_token_accuracy": 0.24781714379787445, + "num_tokens": 18368951.0, + "step": 8180 + }, + { + "entropy": 5.454361772537231, + "epoch": 8.849107625743645, + "grad_norm": 1.171875, + "learning_rate": 6.799083309257726e-05, + "loss": 4.6718, + "mean_token_accuracy": 0.24081313908100127, + "num_tokens": 18379927.0, + "step": 8185 + }, + { + "entropy": 5.386984252929688, + "epoch": 8.854515954570038, + "grad_norm": 1.15625, + "learning_rate": 6.782314916598465e-05, + "loss": 4.5864, + "mean_token_accuracy": 0.2512750491499901, + "num_tokens": 18390396.0, + "step": 8190 + }, + { + "entropy": 5.433802747726441, + "epoch": 8.859924283396431, + "grad_norm": 1.1875, + "learning_rate": 6.765621812054675e-05, + "loss": 4.6534, + "mean_token_accuracy": 0.2511002615094185, + "num_tokens": 18401640.0, + "step": 8195 + }, + { + "entropy": 5.464025688171387, + "epoch": 8.865332612222822, + "grad_norm": 1.1171875, + "learning_rate": 6.749004056289132e-05, + "loss": 4.7053, + "mean_token_accuracy": 0.24140200912952423, + "num_tokens": 18413032.0, + "step": 8200 + }, + { + "entropy": 5.492389583587647, + "epoch": 8.870740941049215, + "grad_norm": 1.1640625, + "learning_rate": 6.732461709690811e-05, + "loss": 4.7231, + "mean_token_accuracy": 0.24018226712942123, + "num_tokens": 18424249.0, + "step": 8205 + }, + { + "entropy": 5.460456418991089, + "epoch": 8.876149269875608, + "grad_norm": 1.2265625, + "learning_rate": 6.715994832374619e-05, + "loss": 4.6917, + "mean_token_accuracy": 0.2387579098343849, + "num_tokens": 18435532.0, + "step": 8210 + }, + { + "entropy": 5.455314588546753, + "epoch": 8.881557598702, + "grad_norm": 1.0078125, + "learning_rate": 6.699603484181245e-05, + "loss": 4.6735, + "mean_token_accuracy": 0.2517687350511551, + "num_tokens": 18447433.0, + "step": 8215 + }, + { + "entropy": 5.5274101257324215, + "epoch": 8.886965927528394, + "grad_norm": 0.97265625, + "learning_rate": 6.683287724676874e-05, + "loss": 4.7168, + "mean_token_accuracy": 0.2312949389219284, + "num_tokens": 18459348.0, + "step": 8220 + }, + { + "entropy": 5.448721933364868, + "epoch": 8.892374256354787, + "grad_norm": 1.328125, + "learning_rate": 6.667047613153018e-05, + "loss": 4.6334, + "mean_token_accuracy": 0.2500571310520172, + "num_tokens": 18469626.0, + "step": 8225 + }, + { + "entropy": 5.39347653388977, + "epoch": 8.89778258518118, + "grad_norm": 1.078125, + "learning_rate": 6.650883208626275e-05, + "loss": 4.6194, + "mean_token_accuracy": 0.24883653670549394, + "num_tokens": 18480280.0, + "step": 8230 + }, + { + "entropy": 5.480832719802857, + "epoch": 8.903190914007572, + "grad_norm": 1.1796875, + "learning_rate": 6.634794569838136e-05, + "loss": 4.7166, + "mean_token_accuracy": 0.24320875704288483, + "num_tokens": 18491169.0, + "step": 8235 + }, + { + "entropy": 5.437039518356324, + "epoch": 8.908599242833965, + "grad_norm": 1.09375, + "learning_rate": 6.618781755254749e-05, + "loss": 4.6714, + "mean_token_accuracy": 0.24556371122598647, + "num_tokens": 18502987.0, + "step": 8240 + }, + { + "entropy": 5.410912132263183, + "epoch": 8.914007571660356, + "grad_norm": 1.0859375, + "learning_rate": 6.60284482306672e-05, + "loss": 4.6237, + "mean_token_accuracy": 0.2487622007727623, + "num_tokens": 18514111.0, + "step": 8245 + }, + { + "entropy": 5.476244735717773, + "epoch": 8.919415900486749, + "grad_norm": 1.1796875, + "learning_rate": 6.586983831188888e-05, + "loss": 4.6614, + "mean_token_accuracy": 0.2371463283896446, + "num_tokens": 18524802.0, + "step": 8250 + }, + { + "entropy": 5.386268568038941, + "epoch": 8.924824229313142, + "grad_norm": 1.15625, + "learning_rate": 6.571198837260148e-05, + "loss": 4.549, + "mean_token_accuracy": 0.25499766021966935, + "num_tokens": 18535033.0, + "step": 8255 + }, + { + "entropy": 5.4325535774230955, + "epoch": 8.930232558139535, + "grad_norm": 1.203125, + "learning_rate": 6.555489898643201e-05, + "loss": 4.6105, + "mean_token_accuracy": 0.24099647700786592, + "num_tokens": 18545992.0, + "step": 8260 + }, + { + "entropy": 5.510333728790283, + "epoch": 8.935640886965928, + "grad_norm": 1.1953125, + "learning_rate": 6.539857072424357e-05, + "loss": 4.6754, + "mean_token_accuracy": 0.2422497093677521, + "num_tokens": 18557034.0, + "step": 8265 + }, + { + "entropy": 5.466076946258545, + "epoch": 8.94104921579232, + "grad_norm": 1.1640625, + "learning_rate": 6.524300415413354e-05, + "loss": 4.7352, + "mean_token_accuracy": 0.23501991331577302, + "num_tokens": 18569772.0, + "step": 8270 + }, + { + "entropy": 5.423339176177978, + "epoch": 8.946457544618713, + "grad_norm": 1.0859375, + "learning_rate": 6.508819984143111e-05, + "loss": 4.5963, + "mean_token_accuracy": 0.24731227159500122, + "num_tokens": 18581366.0, + "step": 8275 + }, + { + "entropy": 5.394436693191528, + "epoch": 8.951865873445106, + "grad_norm": 1.1015625, + "learning_rate": 6.493415834869555e-05, + "loss": 4.6067, + "mean_token_accuracy": 0.24292584061622619, + "num_tokens": 18592538.0, + "step": 8280 + }, + { + "entropy": 5.463893890380859, + "epoch": 8.957274202271497, + "grad_norm": 1.15625, + "learning_rate": 6.478088023571403e-05, + "loss": 4.7642, + "mean_token_accuracy": 0.23628028929233552, + "num_tokens": 18604060.0, + "step": 8285 + }, + { + "entropy": 5.499932765960693, + "epoch": 8.96268253109789, + "grad_norm": 1.125, + "learning_rate": 6.462836605949945e-05, + "loss": 4.7014, + "mean_token_accuracy": 0.24229229241609573, + "num_tokens": 18614038.0, + "step": 8290 + }, + { + "entropy": 5.5177754878997805, + "epoch": 8.968090859924283, + "grad_norm": 1.203125, + "learning_rate": 6.447661637428882e-05, + "loss": 4.7011, + "mean_token_accuracy": 0.24340022057294847, + "num_tokens": 18624428.0, + "step": 8295 + }, + { + "entropy": 5.458679246902466, + "epoch": 8.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 6.432563173154082e-05, + "loss": 4.697, + "mean_token_accuracy": 0.24110541641712188, + "num_tokens": 18636738.0, + "step": 8300 + }, + { + "entropy": 5.461600303649902, + "epoch": 8.978907517577069, + "grad_norm": 1.0859375, + "learning_rate": 6.417541267993391e-05, + "loss": 4.6537, + "mean_token_accuracy": 0.23878912776708602, + "num_tokens": 18648318.0, + "step": 8305 + }, + { + "entropy": 5.47225866317749, + "epoch": 8.984315846403462, + "grad_norm": 1.1328125, + "learning_rate": 6.402595976536451e-05, + "loss": 4.66, + "mean_token_accuracy": 0.24574798047542573, + "num_tokens": 18659616.0, + "step": 8310 + }, + { + "entropy": 5.468072366714478, + "epoch": 8.989724175229854, + "grad_norm": 1.078125, + "learning_rate": 6.387727353094492e-05, + "loss": 4.7155, + "mean_token_accuracy": 0.23670175224542617, + "num_tokens": 18671787.0, + "step": 8315 + }, + { + "entropy": 5.5368040084838865, + "epoch": 8.995132504056247, + "grad_norm": 1.140625, + "learning_rate": 6.372935451700119e-05, + "loss": 4.7209, + "mean_token_accuracy": 0.24138835370540618, + "num_tokens": 18683668.0, + "step": 8320 + }, + { + "entropy": 5.46496221754286, + "epoch": 9.0, + "grad_norm": 2.4375, + "learning_rate": 6.358220326107135e-05, + "loss": 4.7393, + "mean_token_accuracy": 0.24235479533672333, + "num_tokens": 18692001.0, + "step": 8325 + }, + { + "entropy": 5.471250581741333, + "epoch": 9.005408328826393, + "grad_norm": 1.2109375, + "learning_rate": 6.343582029790345e-05, + "loss": 4.5749, + "mean_token_accuracy": 0.2578806057572365, + "num_tokens": 18703498.0, + "step": 8330 + }, + { + "entropy": 5.495151615142822, + "epoch": 9.010816657652786, + "grad_norm": 1.09375, + "learning_rate": 6.32902061594535e-05, + "loss": 4.6751, + "mean_token_accuracy": 0.24880463033914565, + "num_tokens": 18714493.0, + "step": 8335 + }, + { + "entropy": 5.486913824081421, + "epoch": 9.016224986479179, + "grad_norm": 0.9296875, + "learning_rate": 6.314536137488364e-05, + "loss": 4.6983, + "mean_token_accuracy": 0.2343290165066719, + "num_tokens": 18727116.0, + "step": 8340 + }, + { + "entropy": 5.4067400932312015, + "epoch": 9.021633315305571, + "grad_norm": 1.0, + "learning_rate": 6.300128647056007e-05, + "loss": 4.5645, + "mean_token_accuracy": 0.2559074819087982, + "num_tokens": 18738043.0, + "step": 8345 + }, + { + "entropy": 5.426862001419067, + "epoch": 9.027041644131963, + "grad_norm": 1.1484375, + "learning_rate": 6.285798197005136e-05, + "loss": 4.6368, + "mean_token_accuracy": 0.247240249812603, + "num_tokens": 18749744.0, + "step": 8350 + }, + { + "entropy": 5.484080648422241, + "epoch": 9.032449972958355, + "grad_norm": 1.25, + "learning_rate": 6.271544839412647e-05, + "loss": 4.6962, + "mean_token_accuracy": 0.2405407428741455, + "num_tokens": 18760644.0, + "step": 8355 + }, + { + "entropy": 5.418655300140381, + "epoch": 9.037858301784748, + "grad_norm": 1.03125, + "learning_rate": 6.257368626075266e-05, + "loss": 4.5887, + "mean_token_accuracy": 0.25017319768667223, + "num_tokens": 18771554.0, + "step": 8360 + }, + { + "entropy": 5.447339773178101, + "epoch": 9.043266630611141, + "grad_norm": 1.1171875, + "learning_rate": 6.243269608509388e-05, + "loss": 4.6227, + "mean_token_accuracy": 0.24144126176834108, + "num_tokens": 18782652.0, + "step": 8365 + }, + { + "entropy": 5.463773965835571, + "epoch": 9.048674959437534, + "grad_norm": 1.1171875, + "learning_rate": 6.229247837950878e-05, + "loss": 4.6204, + "mean_token_accuracy": 0.24873368740081786, + "num_tokens": 18795266.0, + "step": 8370 + }, + { + "entropy": 5.433094310760498, + "epoch": 9.054083288263927, + "grad_norm": 1.1171875, + "learning_rate": 6.215303365354875e-05, + "loss": 4.6775, + "mean_token_accuracy": 0.24355793595314026, + "num_tokens": 18806572.0, + "step": 8375 + }, + { + "entropy": 5.41509051322937, + "epoch": 9.05949161709032, + "grad_norm": 1.171875, + "learning_rate": 6.201436241395634e-05, + "loss": 4.6564, + "mean_token_accuracy": 0.2417655661702156, + "num_tokens": 18818036.0, + "step": 8380 + }, + { + "entropy": 5.433154106140137, + "epoch": 9.064899945916713, + "grad_norm": 1.078125, + "learning_rate": 6.187646516466311e-05, + "loss": 4.6468, + "mean_token_accuracy": 0.24639349281787873, + "num_tokens": 18828245.0, + "step": 8385 + }, + { + "entropy": 5.409167528152466, + "epoch": 9.070308274743104, + "grad_norm": 1.0078125, + "learning_rate": 6.173934240678794e-05, + "loss": 4.616, + "mean_token_accuracy": 0.25028411000967027, + "num_tokens": 18839538.0, + "step": 8390 + }, + { + "entropy": 5.422529840469361, + "epoch": 9.075716603569496, + "grad_norm": 1.0859375, + "learning_rate": 6.160299463863535e-05, + "loss": 4.5289, + "mean_token_accuracy": 0.25803924947977064, + "num_tokens": 18850294.0, + "step": 8395 + }, + { + "entropy": 5.404397106170654, + "epoch": 9.08112493239589, + "grad_norm": 1.03125, + "learning_rate": 6.146742235569336e-05, + "loss": 4.6043, + "mean_token_accuracy": 0.24872332215309143, + "num_tokens": 18861394.0, + "step": 8400 + }, + { + "entropy": 5.508815145492553, + "epoch": 9.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 6.133262605063199e-05, + "loss": 4.6657, + "mean_token_accuracy": 0.25025164186954496, + "num_tokens": 18873436.0, + "step": 8405 + }, + { + "entropy": 5.423185586929321, + "epoch": 9.091941590048675, + "grad_norm": 1.078125, + "learning_rate": 6.119860621330131e-05, + "loss": 4.5606, + "mean_token_accuracy": 0.24882591515779495, + "num_tokens": 18884174.0, + "step": 8410 + }, + { + "entropy": 5.4953888893127445, + "epoch": 9.097349918875068, + "grad_norm": 1.0078125, + "learning_rate": 6.106536333072973e-05, + "loss": 4.6722, + "mean_token_accuracy": 0.25227693617343905, + "num_tokens": 18895524.0, + "step": 8415 + }, + { + "entropy": 5.379502391815185, + "epoch": 9.10275824770146, + "grad_norm": 1.1484375, + "learning_rate": 6.093289788712218e-05, + "loss": 4.5641, + "mean_token_accuracy": 0.24757325202226638, + "num_tokens": 18906412.0, + "step": 8420 + }, + { + "entropy": 5.449669456481933, + "epoch": 9.108166576527854, + "grad_norm": 1.0859375, + "learning_rate": 6.080121036385845e-05, + "loss": 4.6618, + "mean_token_accuracy": 0.24436687231063842, + "num_tokens": 18917557.0, + "step": 8425 + }, + { + "entropy": 5.548173522949218, + "epoch": 9.113574905354245, + "grad_norm": 1.1796875, + "learning_rate": 6.067030123949119e-05, + "loss": 4.7474, + "mean_token_accuracy": 0.23804895877838134, + "num_tokens": 18928749.0, + "step": 8430 + }, + { + "entropy": 5.457028818130493, + "epoch": 9.118983234180638, + "grad_norm": 1.1953125, + "learning_rate": 6.0540170989744566e-05, + "loss": 4.6692, + "mean_token_accuracy": 0.24220452159643174, + "num_tokens": 18938854.0, + "step": 8435 + }, + { + "entropy": 5.459903860092163, + "epoch": 9.12439156300703, + "grad_norm": 1.03125, + "learning_rate": 6.041082008751215e-05, + "loss": 4.6467, + "mean_token_accuracy": 0.2502425223588943, + "num_tokens": 18949915.0, + "step": 8440 + }, + { + "entropy": 5.524671030044556, + "epoch": 9.129799891833423, + "grad_norm": 1.1328125, + "learning_rate": 6.028224900285545e-05, + "loss": 4.7169, + "mean_token_accuracy": 0.2474487155675888, + "num_tokens": 18961828.0, + "step": 8445 + }, + { + "entropy": 5.4591539859771725, + "epoch": 9.135208220659816, + "grad_norm": 1.046875, + "learning_rate": 6.015445820300207e-05, + "loss": 4.6994, + "mean_token_accuracy": 0.24288366883993148, + "num_tokens": 18974719.0, + "step": 8450 + }, + { + "entropy": 5.440279102325439, + "epoch": 9.140616549486209, + "grad_norm": 1.0625, + "learning_rate": 6.002744815234405e-05, + "loss": 4.6052, + "mean_token_accuracy": 0.25446860641241076, + "num_tokens": 18985540.0, + "step": 8455 + }, + { + "entropy": 5.376692056655884, + "epoch": 9.146024878312602, + "grad_norm": 1.0625, + "learning_rate": 5.990121931243623e-05, + "loss": 4.523, + "mean_token_accuracy": 0.25452662706375123, + "num_tokens": 18997235.0, + "step": 8460 + }, + { + "entropy": 5.412912178039551, + "epoch": 9.151433207138995, + "grad_norm": 1.125, + "learning_rate": 5.977577214199456e-05, + "loss": 4.5439, + "mean_token_accuracy": 0.25683856159448626, + "num_tokens": 19008375.0, + "step": 8465 + }, + { + "entropy": 5.3950666904449465, + "epoch": 9.156841535965386, + "grad_norm": 1.0078125, + "learning_rate": 5.9651107096894214e-05, + "loss": 4.6096, + "mean_token_accuracy": 0.24521999061107635, + "num_tokens": 19019780.0, + "step": 8470 + }, + { + "entropy": 5.463967037200928, + "epoch": 9.162249864791779, + "grad_norm": 1.0859375, + "learning_rate": 5.952722463016836e-05, + "loss": 4.7117, + "mean_token_accuracy": 0.238210092484951, + "num_tokens": 19032124.0, + "step": 8475 + }, + { + "entropy": 5.450633907318116, + "epoch": 9.167658193618172, + "grad_norm": 1.203125, + "learning_rate": 5.940412519200617e-05, + "loss": 4.6675, + "mean_token_accuracy": 0.24538640230894088, + "num_tokens": 19042694.0, + "step": 8480 + }, + { + "entropy": 5.447213935852051, + "epoch": 9.173066522444564, + "grad_norm": 1.0703125, + "learning_rate": 5.928180922975124e-05, + "loss": 4.6825, + "mean_token_accuracy": 0.24806885421276093, + "num_tokens": 19054342.0, + "step": 8485 + }, + { + "entropy": 5.440927219390869, + "epoch": 9.178474851270957, + "grad_norm": 1.1171875, + "learning_rate": 5.916027718790007e-05, + "loss": 4.6251, + "mean_token_accuracy": 0.2514836072921753, + "num_tokens": 19064770.0, + "step": 8490 + }, + { + "entropy": 5.402642679214478, + "epoch": 9.18388318009735, + "grad_norm": 1.0703125, + "learning_rate": 5.903952950810038e-05, + "loss": 4.595, + "mean_token_accuracy": 0.2534944236278534, + "num_tokens": 19076038.0, + "step": 8495 + }, + { + "entropy": 5.4304827690124515, + "epoch": 9.189291508923743, + "grad_norm": 1.1171875, + "learning_rate": 5.8919566629149535e-05, + "loss": 4.6499, + "mean_token_accuracy": 0.2401322290301323, + "num_tokens": 19088024.0, + "step": 8500 + }, + { + "epoch": 9.189291508923743, + "eval_entropy": 5.355288397182118, + "eval_loss": 5.8384575843811035, + "eval_mean_token_accuracy": 0.18395211405374787, + "eval_num_tokens": 19088024.0, + "eval_runtime": 5.1009, + "eval_samples_per_second": 689.099, + "eval_steps_per_second": 86.26, + "step": 8500 + }, + { + "entropy": 5.414701795578003, + "epoch": 9.194699837750136, + "grad_norm": 1.046875, + "learning_rate": 5.880038898699291e-05, + "loss": 4.5511, + "mean_token_accuracy": 0.25013924241065977, + "num_tokens": 19099342.0, + "step": 8505 + }, + { + "entropy": 5.461292791366577, + "epoch": 9.200108166576527, + "grad_norm": 1.078125, + "learning_rate": 5.8681997014722303e-05, + "loss": 4.6646, + "mean_token_accuracy": 0.24696438610553742, + "num_tokens": 19111978.0, + "step": 8510 + }, + { + "entropy": 5.496758985519409, + "epoch": 9.20551649540292, + "grad_norm": 1.1328125, + "learning_rate": 5.856439114257446e-05, + "loss": 4.7375, + "mean_token_accuracy": 0.23933280557394027, + "num_tokens": 19123859.0, + "step": 8515 + }, + { + "entropy": 5.413985729217529, + "epoch": 9.210924824229313, + "grad_norm": 1.1328125, + "learning_rate": 5.84475717979294e-05, + "loss": 4.5734, + "mean_token_accuracy": 0.24977834671735763, + "num_tokens": 19135058.0, + "step": 8520 + }, + { + "entropy": 5.42896671295166, + "epoch": 9.216333153055706, + "grad_norm": 1.1640625, + "learning_rate": 5.833153940530882e-05, + "loss": 4.6293, + "mean_token_accuracy": 0.24864333271980285, + "num_tokens": 19146568.0, + "step": 8525 + }, + { + "entropy": 5.408185768127441, + "epoch": 9.221741481882098, + "grad_norm": 1.1640625, + "learning_rate": 5.8216294386374727e-05, + "loss": 4.5878, + "mean_token_accuracy": 0.2575874090194702, + "num_tokens": 19158402.0, + "step": 8530 + }, + { + "entropy": 5.398104095458985, + "epoch": 9.227149810708491, + "grad_norm": 1.15625, + "learning_rate": 5.8101837159927845e-05, + "loss": 4.6647, + "mean_token_accuracy": 0.24954181611537934, + "num_tokens": 19170716.0, + "step": 8535 + }, + { + "entropy": 5.549849033355713, + "epoch": 9.232558139534884, + "grad_norm": 0.93359375, + "learning_rate": 5.798816814190595e-05, + "loss": 4.6533, + "mean_token_accuracy": 0.24624937325716018, + "num_tokens": 19184085.0, + "step": 8540 + }, + { + "entropy": 5.454240703582764, + "epoch": 9.237966468361277, + "grad_norm": 1.125, + "learning_rate": 5.7875287745382504e-05, + "loss": 4.5342, + "mean_token_accuracy": 0.2563025146722794, + "num_tokens": 19194619.0, + "step": 8545 + }, + { + "entropy": 5.433774805068969, + "epoch": 9.24337479718767, + "grad_norm": 1.125, + "learning_rate": 5.776319638056516e-05, + "loss": 4.6728, + "mean_token_accuracy": 0.24213346987962722, + "num_tokens": 19206422.0, + "step": 8550 + }, + { + "entropy": 5.463729619979858, + "epoch": 9.248783126014061, + "grad_norm": 1.15625, + "learning_rate": 5.76518944547942e-05, + "loss": 4.6746, + "mean_token_accuracy": 0.24669480919837952, + "num_tokens": 19217723.0, + "step": 8555 + }, + { + "entropy": 5.442994546890259, + "epoch": 9.254191454840454, + "grad_norm": 1.25, + "learning_rate": 5.754138237254108e-05, + "loss": 4.5825, + "mean_token_accuracy": 0.24664355218410491, + "num_tokens": 19228135.0, + "step": 8560 + }, + { + "entropy": 5.431949138641357, + "epoch": 9.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 5.743166053540692e-05, + "loss": 4.5989, + "mean_token_accuracy": 0.25546385645866393, + "num_tokens": 19238553.0, + "step": 8565 + }, + { + "entropy": 5.430339622497558, + "epoch": 9.26500811249324, + "grad_norm": 1.15625, + "learning_rate": 5.732272934212113e-05, + "loss": 4.6622, + "mean_token_accuracy": 0.2454684481024742, + "num_tokens": 19249152.0, + "step": 8570 + }, + { + "entropy": 5.365235662460327, + "epoch": 9.270416441319632, + "grad_norm": 1.078125, + "learning_rate": 5.721458918854001e-05, + "loss": 4.54, + "mean_token_accuracy": 0.2619824156165123, + "num_tokens": 19259790.0, + "step": 8575 + }, + { + "entropy": 5.431275129318237, + "epoch": 9.275824770146025, + "grad_norm": 1.09375, + "learning_rate": 5.7107240467645024e-05, + "loss": 4.5612, + "mean_token_accuracy": 0.25351282209157944, + "num_tokens": 19271654.0, + "step": 8580 + }, + { + "entropy": 5.416318035125732, + "epoch": 9.281233098972418, + "grad_norm": 1.234375, + "learning_rate": 5.700068356954172e-05, + "loss": 4.608, + "mean_token_accuracy": 0.25387355536222456, + "num_tokens": 19281291.0, + "step": 8585 + }, + { + "entropy": 5.406040143966675, + "epoch": 9.286641427798811, + "grad_norm": 1.1953125, + "learning_rate": 5.689491888145811e-05, + "loss": 4.5806, + "mean_token_accuracy": 0.2477464035153389, + "num_tokens": 19291789.0, + "step": 8590 + }, + { + "entropy": 5.4958906173706055, + "epoch": 9.292049756625202, + "grad_norm": 1.125, + "learning_rate": 5.67899467877433e-05, + "loss": 4.6505, + "mean_token_accuracy": 0.24176725894212722, + "num_tokens": 19301881.0, + "step": 8595 + }, + { + "entropy": 5.414161634445191, + "epoch": 9.297458085451595, + "grad_norm": 1.0, + "learning_rate": 5.668576766986611e-05, + "loss": 4.6152, + "mean_token_accuracy": 0.25279340893030167, + "num_tokens": 19314800.0, + "step": 8600 + }, + { + "entropy": 5.398559617996216, + "epoch": 9.302866414277988, + "grad_norm": 1.171875, + "learning_rate": 5.658238190641378e-05, + "loss": 4.6281, + "mean_token_accuracy": 0.24605038315057753, + "num_tokens": 19325585.0, + "step": 8605 + }, + { + "entropy": 5.445245218276978, + "epoch": 9.30827474310438, + "grad_norm": 1.03125, + "learning_rate": 5.6479789873090273e-05, + "loss": 4.6615, + "mean_token_accuracy": 0.24458087384700775, + "num_tokens": 19337178.0, + "step": 8610 + }, + { + "entropy": 5.38250150680542, + "epoch": 9.313683071930773, + "grad_norm": 1.0625, + "learning_rate": 5.637799194271541e-05, + "loss": 4.5256, + "mean_token_accuracy": 0.2564465910196304, + "num_tokens": 19348196.0, + "step": 8615 + }, + { + "entropy": 5.46012053489685, + "epoch": 9.319091400757166, + "grad_norm": 1.1875, + "learning_rate": 5.6276988485223004e-05, + "loss": 4.6495, + "mean_token_accuracy": 0.24070032835006713, + "num_tokens": 19359198.0, + "step": 8620 + }, + { + "entropy": 5.4416563510894775, + "epoch": 9.32449972958356, + "grad_norm": 1.1484375, + "learning_rate": 5.617677986765987e-05, + "loss": 4.5748, + "mean_token_accuracy": 0.25195776373147966, + "num_tokens": 19369577.0, + "step": 8625 + }, + { + "entropy": 5.484540271759033, + "epoch": 9.329908058409952, + "grad_norm": 1.1015625, + "learning_rate": 5.6077366454184446e-05, + "loss": 4.7251, + "mean_token_accuracy": 0.2414395123720169, + "num_tokens": 19381875.0, + "step": 8630 + }, + { + "entropy": 5.515837144851685, + "epoch": 9.335316387236343, + "grad_norm": 1.0625, + "learning_rate": 5.597874860606521e-05, + "loss": 4.7093, + "mean_token_accuracy": 0.2484044462442398, + "num_tokens": 19393619.0, + "step": 8635 + }, + { + "entropy": 5.377680158615112, + "epoch": 9.340724716062736, + "grad_norm": 1.125, + "learning_rate": 5.5880926681679695e-05, + "loss": 4.6044, + "mean_token_accuracy": 0.24657318145036697, + "num_tokens": 19404011.0, + "step": 8640 + }, + { + "entropy": 5.477707862854004, + "epoch": 9.346133044889129, + "grad_norm": 1.09375, + "learning_rate": 5.578390103651297e-05, + "loss": 4.6995, + "mean_token_accuracy": 0.24455140382051468, + "num_tokens": 19414713.0, + "step": 8645 + }, + { + "entropy": 5.45700216293335, + "epoch": 9.351541373715522, + "grad_norm": 1.109375, + "learning_rate": 5.568767202315647e-05, + "loss": 4.6194, + "mean_token_accuracy": 0.2514105409383774, + "num_tokens": 19425400.0, + "step": 8650 + }, + { + "entropy": 5.449418592453003, + "epoch": 9.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 5.559223999130667e-05, + "loss": 4.593, + "mean_token_accuracy": 0.25208231061697006, + "num_tokens": 19436064.0, + "step": 8655 + }, + { + "entropy": 5.372612380981446, + "epoch": 9.362358031368307, + "grad_norm": 1.109375, + "learning_rate": 5.549760528776376e-05, + "loss": 4.5276, + "mean_token_accuracy": 0.2524605870246887, + "num_tokens": 19446669.0, + "step": 8660 + }, + { + "entropy": 5.497077941894531, + "epoch": 9.3677663601947, + "grad_norm": 1.0078125, + "learning_rate": 5.5403768256430475e-05, + "loss": 4.7123, + "mean_token_accuracy": 0.2496739625930786, + "num_tokens": 19457299.0, + "step": 8665 + }, + { + "entropy": 5.5508674621582035, + "epoch": 9.373174689021093, + "grad_norm": 1.09375, + "learning_rate": 5.5310729238310854e-05, + "loss": 4.7727, + "mean_token_accuracy": 0.2367933690547943, + "num_tokens": 19469181.0, + "step": 8670 + }, + { + "entropy": 5.502329254150391, + "epoch": 9.378583017847484, + "grad_norm": 1.125, + "learning_rate": 5.521848857150884e-05, + "loss": 4.6835, + "mean_token_accuracy": 0.24986590594053268, + "num_tokens": 19480393.0, + "step": 8675 + }, + { + "entropy": 5.4657402515411375, + "epoch": 9.383991346673877, + "grad_norm": 1.1328125, + "learning_rate": 5.512704659122725e-05, + "loss": 4.6301, + "mean_token_accuracy": 0.25207789838314054, + "num_tokens": 19491412.0, + "step": 8680 + }, + { + "entropy": 5.400192451477051, + "epoch": 9.38939967550027, + "grad_norm": 1.0859375, + "learning_rate": 5.503640362976646e-05, + "loss": 4.5772, + "mean_token_accuracy": 0.24962837845087052, + "num_tokens": 19502601.0, + "step": 8685 + }, + { + "entropy": 5.460760641098022, + "epoch": 9.394808004326663, + "grad_norm": 1.1328125, + "learning_rate": 5.4946560016523184e-05, + "loss": 4.6325, + "mean_token_accuracy": 0.24655720442533494, + "num_tokens": 19513985.0, + "step": 8690 + }, + { + "entropy": 5.474077796936035, + "epoch": 9.400216333153056, + "grad_norm": 1.015625, + "learning_rate": 5.485751607798937e-05, + "loss": 4.6622, + "mean_token_accuracy": 0.2437178909778595, + "num_tokens": 19525575.0, + "step": 8695 + }, + { + "entropy": 5.4889716625213625, + "epoch": 9.405624661979449, + "grad_norm": 1.15625, + "learning_rate": 5.4769272137750855e-05, + "loss": 4.7265, + "mean_token_accuracy": 0.23992366939783097, + "num_tokens": 19536130.0, + "step": 8700 + }, + { + "entropy": 5.443988084793091, + "epoch": 9.411032990805841, + "grad_norm": 1.09375, + "learning_rate": 5.468182851648629e-05, + "loss": 4.6104, + "mean_token_accuracy": 0.24249817579984664, + "num_tokens": 19547803.0, + "step": 8705 + }, + { + "entropy": 5.466119003295899, + "epoch": 9.416441319632234, + "grad_norm": 1.1015625, + "learning_rate": 5.4595185531966074e-05, + "loss": 4.6343, + "mean_token_accuracy": 0.24887861609458922, + "num_tokens": 19559622.0, + "step": 8710 + }, + { + "entropy": 5.432012033462525, + "epoch": 9.421849648458625, + "grad_norm": 1.125, + "learning_rate": 5.450934349905094e-05, + "loss": 4.643, + "mean_token_accuracy": 0.2446851685643196, + "num_tokens": 19569914.0, + "step": 8715 + }, + { + "entropy": 5.471200370788575, + "epoch": 9.427257977285018, + "grad_norm": 1.140625, + "learning_rate": 5.44243027296911e-05, + "loss": 4.5949, + "mean_token_accuracy": 0.2439989998936653, + "num_tokens": 19580770.0, + "step": 8720 + }, + { + "entropy": 5.461276531219482, + "epoch": 9.432666306111411, + "grad_norm": 1.109375, + "learning_rate": 5.434006353292485e-05, + "loss": 4.6221, + "mean_token_accuracy": 0.25116735100746157, + "num_tokens": 19591588.0, + "step": 8725 + }, + { + "entropy": 5.491225814819336, + "epoch": 9.438074634937804, + "grad_norm": 1.1171875, + "learning_rate": 5.425662621487766e-05, + "loss": 4.6659, + "mean_token_accuracy": 0.24391200244426728, + "num_tokens": 19602866.0, + "step": 8730 + }, + { + "entropy": 5.4796041488647464, + "epoch": 9.443482963764197, + "grad_norm": 1.140625, + "learning_rate": 5.417399107876092e-05, + "loss": 4.6067, + "mean_token_accuracy": 0.2501275062561035, + "num_tokens": 19613546.0, + "step": 8735 + }, + { + "entropy": 5.517991018295288, + "epoch": 9.44889129259059, + "grad_norm": 1.0625, + "learning_rate": 5.4092158424870936e-05, + "loss": 4.7437, + "mean_token_accuracy": 0.23281113058328629, + "num_tokens": 19626221.0, + "step": 8740 + }, + { + "entropy": 5.461719083786011, + "epoch": 9.454299621416983, + "grad_norm": 1.1875, + "learning_rate": 5.40111285505877e-05, + "loss": 4.7382, + "mean_token_accuracy": 0.23329047858715057, + "num_tokens": 19637166.0, + "step": 8745 + }, + { + "entropy": 5.459234237670898, + "epoch": 9.459707950243375, + "grad_norm": 1.0703125, + "learning_rate": 5.393090175037399e-05, + "loss": 4.6512, + "mean_token_accuracy": 0.25019672363996504, + "num_tokens": 19648448.0, + "step": 8750 + }, + { + "entropy": 5.472616815567017, + "epoch": 9.465116279069768, + "grad_norm": 1.0625, + "learning_rate": 5.385147831577424e-05, + "loss": 4.6448, + "mean_token_accuracy": 0.2528526455163956, + "num_tokens": 19660282.0, + "step": 8755 + }, + { + "entropy": 5.475557041168213, + "epoch": 9.47052460789616, + "grad_norm": 1.203125, + "learning_rate": 5.377285853541332e-05, + "loss": 4.6828, + "mean_token_accuracy": 0.24167207330465318, + "num_tokens": 19670672.0, + "step": 8760 + }, + { + "entropy": 5.466441297531128, + "epoch": 9.475932936722552, + "grad_norm": 1.03125, + "learning_rate": 5.369504269499574e-05, + "loss": 4.6538, + "mean_token_accuracy": 0.24787724167108535, + "num_tokens": 19682894.0, + "step": 8765 + }, + { + "entropy": 5.512633275985718, + "epoch": 9.481341265548945, + "grad_norm": 1.0859375, + "learning_rate": 5.3618031077304406e-05, + "loss": 4.6526, + "mean_token_accuracy": 0.25008216202259065, + "num_tokens": 19693743.0, + "step": 8770 + }, + { + "entropy": 5.437808418273926, + "epoch": 9.486749594375338, + "grad_norm": 1.125, + "learning_rate": 5.354182396219974e-05, + "loss": 4.6714, + "mean_token_accuracy": 0.2538447692990303, + "num_tokens": 19703891.0, + "step": 8775 + }, + { + "entropy": 5.485371351242065, + "epoch": 9.49215792320173, + "grad_norm": 1.21875, + "learning_rate": 5.3466421626618573e-05, + "loss": 4.6527, + "mean_token_accuracy": 0.252787709236145, + "num_tokens": 19714163.0, + "step": 8780 + }, + { + "entropy": 5.483297872543335, + "epoch": 9.497566252028124, + "grad_norm": 1.0859375, + "learning_rate": 5.339182434457314e-05, + "loss": 4.6554, + "mean_token_accuracy": 0.2414626508951187, + "num_tokens": 19725750.0, + "step": 8785 + }, + { + "entropy": 5.489177989959717, + "epoch": 9.502974580854517, + "grad_norm": 0.9453125, + "learning_rate": 5.3318032387150165e-05, + "loss": 4.6578, + "mean_token_accuracy": 0.24737905859947204, + "num_tokens": 19737120.0, + "step": 8790 + }, + { + "entropy": 5.454617691040039, + "epoch": 9.50838290968091, + "grad_norm": 1.2109375, + "learning_rate": 5.324504602250981e-05, + "loss": 4.6724, + "mean_token_accuracy": 0.24410795718431472, + "num_tokens": 19748568.0, + "step": 8795 + }, + { + "entropy": 5.4756224155426025, + "epoch": 9.5137912385073, + "grad_norm": 1.125, + "learning_rate": 5.317286551588464e-05, + "loss": 4.635, + "mean_token_accuracy": 0.2503379836678505, + "num_tokens": 19760786.0, + "step": 8800 + }, + { + "entropy": 5.436118221282959, + "epoch": 9.519199567333693, + "grad_norm": 1.1484375, + "learning_rate": 5.310149112957882e-05, + "loss": 4.6435, + "mean_token_accuracy": 0.2574490621685982, + "num_tokens": 19771519.0, + "step": 8805 + }, + { + "entropy": 5.495423984527588, + "epoch": 9.524607896160086, + "grad_norm": 1.140625, + "learning_rate": 5.3030923122967036e-05, + "loss": 4.6097, + "mean_token_accuracy": 0.25485946983098984, + "num_tokens": 19782010.0, + "step": 8810 + }, + { + "entropy": 5.417821216583252, + "epoch": 9.530016224986479, + "grad_norm": 1.0078125, + "learning_rate": 5.296116175249357e-05, + "loss": 4.6528, + "mean_token_accuracy": 0.24572969377040862, + "num_tokens": 19793436.0, + "step": 8815 + }, + { + "entropy": 5.413254308700561, + "epoch": 9.535424553812872, + "grad_norm": 1.0859375, + "learning_rate": 5.289220727167139e-05, + "loss": 4.6549, + "mean_token_accuracy": 0.24831525087356568, + "num_tokens": 19805005.0, + "step": 8820 + }, + { + "entropy": 5.3797554016113285, + "epoch": 9.540832882639265, + "grad_norm": 1.1953125, + "learning_rate": 5.282405993108127e-05, + "loss": 4.6243, + "mean_token_accuracy": 0.2492424175143242, + "num_tokens": 19816200.0, + "step": 8825 + }, + { + "entropy": 5.493478059768677, + "epoch": 9.546241211465658, + "grad_norm": 1.1640625, + "learning_rate": 5.2756719978370794e-05, + "loss": 4.6715, + "mean_token_accuracy": 0.2574515029788017, + "num_tokens": 19826919.0, + "step": 8830 + }, + { + "entropy": 5.511475610733032, + "epoch": 9.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 5.2690187658253525e-05, + "loss": 4.7394, + "mean_token_accuracy": 0.23909560292959214, + "num_tokens": 19838852.0, + "step": 8835 + }, + { + "entropy": 5.513745832443237, + "epoch": 9.557057869118442, + "grad_norm": 1.0859375, + "learning_rate": 5.262446321250803e-05, + "loss": 4.6743, + "mean_token_accuracy": 0.2477165475487709, + "num_tokens": 19850748.0, + "step": 8840 + }, + { + "entropy": 5.442627429962158, + "epoch": 9.562466197944834, + "grad_norm": 0.96484375, + "learning_rate": 5.2559546879977084e-05, + "loss": 4.6905, + "mean_token_accuracy": 0.23939739316701888, + "num_tokens": 19862599.0, + "step": 8845 + }, + { + "entropy": 5.422875022888183, + "epoch": 9.567874526771227, + "grad_norm": 1.296875, + "learning_rate": 5.2495438896566854e-05, + "loss": 4.6324, + "mean_token_accuracy": 0.2445455089211464, + "num_tokens": 19872573.0, + "step": 8850 + }, + { + "entropy": 5.443650245666504, + "epoch": 9.57328285559762, + "grad_norm": 1.1328125, + "learning_rate": 5.2432139495245855e-05, + "loss": 4.5618, + "mean_token_accuracy": 0.2563523814082146, + "num_tokens": 19883859.0, + "step": 8855 + }, + { + "entropy": 5.426159954071045, + "epoch": 9.578691184424013, + "grad_norm": 1.21875, + "learning_rate": 5.236964890604426e-05, + "loss": 4.6051, + "mean_token_accuracy": 0.25159233063459396, + "num_tokens": 19895552.0, + "step": 8860 + }, + { + "entropy": 5.4040626049041744, + "epoch": 9.584099513250406, + "grad_norm": 1.1171875, + "learning_rate": 5.230796735605304e-05, + "loss": 4.5761, + "mean_token_accuracy": 0.24699845761060715, + "num_tokens": 19905664.0, + "step": 8865 + }, + { + "entropy": 5.444045734405518, + "epoch": 9.589507842076799, + "grad_norm": 1.1796875, + "learning_rate": 5.224709506942305e-05, + "loss": 4.6746, + "mean_token_accuracy": 0.24605967700481415, + "num_tokens": 19916725.0, + "step": 8870 + }, + { + "entropy": 5.4093259334564205, + "epoch": 9.594916170903192, + "grad_norm": 1.1640625, + "learning_rate": 5.218703226736438e-05, + "loss": 4.6441, + "mean_token_accuracy": 0.24932057708501815, + "num_tokens": 19927584.0, + "step": 8875 + }, + { + "entropy": 5.448268842697144, + "epoch": 9.600324499729584, + "grad_norm": 1.0078125, + "learning_rate": 5.212777916814533e-05, + "loss": 4.6323, + "mean_token_accuracy": 0.24981157034635543, + "num_tokens": 19939122.0, + "step": 8880 + }, + { + "entropy": 5.476501035690307, + "epoch": 9.605732828555976, + "grad_norm": 1.1328125, + "learning_rate": 5.206933598709179e-05, + "loss": 4.7091, + "mean_token_accuracy": 0.24469900280237197, + "num_tokens": 19950513.0, + "step": 8885 + }, + { + "entropy": 5.472732162475586, + "epoch": 9.611141157382368, + "grad_norm": 1.0078125, + "learning_rate": 5.20117029365865e-05, + "loss": 4.6402, + "mean_token_accuracy": 0.24906859546899796, + "num_tokens": 19961960.0, + "step": 8890 + }, + { + "entropy": 5.519441366195679, + "epoch": 9.616549486208761, + "grad_norm": 1.125, + "learning_rate": 5.195488022606802e-05, + "loss": 4.6629, + "mean_token_accuracy": 0.25013741850852966, + "num_tokens": 19973222.0, + "step": 8895 + }, + { + "entropy": 5.426929998397827, + "epoch": 9.621957815035154, + "grad_norm": 1.078125, + "learning_rate": 5.189886806203023e-05, + "loss": 4.5978, + "mean_token_accuracy": 0.2521109014749527, + "num_tokens": 19985053.0, + "step": 8900 + }, + { + "entropy": 5.424173307418823, + "epoch": 9.627366143861547, + "grad_norm": 1.03125, + "learning_rate": 5.184366664802149e-05, + "loss": 4.5725, + "mean_token_accuracy": 0.2557208761572838, + "num_tokens": 19996937.0, + "step": 8905 + }, + { + "entropy": 5.4433815479278564, + "epoch": 9.63277447268794, + "grad_norm": 0.9765625, + "learning_rate": 5.178927618464384e-05, + "loss": 4.6048, + "mean_token_accuracy": 0.2559176430106163, + "num_tokens": 20008749.0, + "step": 8910 + }, + { + "entropy": 5.541851902008057, + "epoch": 9.638182801514333, + "grad_norm": 1.0859375, + "learning_rate": 5.1735696869552364e-05, + "loss": 4.7442, + "mean_token_accuracy": 0.23746976107358933, + "num_tokens": 20020279.0, + "step": 8915 + }, + { + "entropy": 5.529015350341797, + "epoch": 9.643591130340724, + "grad_norm": 1.15625, + "learning_rate": 5.1682928897454416e-05, + "loss": 4.752, + "mean_token_accuracy": 0.23895672857761383, + "num_tokens": 20032133.0, + "step": 8920 + }, + { + "entropy": 5.438677549362183, + "epoch": 9.648999459167117, + "grad_norm": 1.0, + "learning_rate": 5.1630972460108904e-05, + "loss": 4.573, + "mean_token_accuracy": 0.25013258010149003, + "num_tokens": 20044253.0, + "step": 8925 + }, + { + "entropy": 5.505651903152466, + "epoch": 9.65440778799351, + "grad_norm": 1.1171875, + "learning_rate": 5.1579827746325694e-05, + "loss": 4.6885, + "mean_token_accuracy": 0.24737086296081542, + "num_tokens": 20055445.0, + "step": 8930 + }, + { + "entropy": 5.540178680419922, + "epoch": 9.659816116819902, + "grad_norm": 1.0703125, + "learning_rate": 5.152949494196472e-05, + "loss": 4.6855, + "mean_token_accuracy": 0.23843573182821273, + "num_tokens": 20067670.0, + "step": 8935 + }, + { + "entropy": 5.487316274642945, + "epoch": 9.665224445646295, + "grad_norm": 1.109375, + "learning_rate": 5.1479974229935575e-05, + "loss": 4.7008, + "mean_token_accuracy": 0.24444413483142852, + "num_tokens": 20079408.0, + "step": 8940 + }, + { + "entropy": 5.424431562423706, + "epoch": 9.670632774472688, + "grad_norm": 1.265625, + "learning_rate": 5.1431265790196583e-05, + "loss": 4.608, + "mean_token_accuracy": 0.2578970596194267, + "num_tokens": 20089371.0, + "step": 8945 + }, + { + "entropy": 5.4797529697418215, + "epoch": 9.676041103299081, + "grad_norm": 1.21875, + "learning_rate": 5.138336979975439e-05, + "loss": 4.6391, + "mean_token_accuracy": 0.23881180584430695, + "num_tokens": 20099521.0, + "step": 8950 + }, + { + "entropy": 5.480092000961304, + "epoch": 9.681449432125474, + "grad_norm": 1.1484375, + "learning_rate": 5.13362864326631e-05, + "loss": 4.6814, + "mean_token_accuracy": 0.2435513660311699, + "num_tokens": 20111087.0, + "step": 8955 + }, + { + "entropy": 5.4894490242004395, + "epoch": 9.686857760951867, + "grad_norm": 0.95703125, + "learning_rate": 5.12900158600238e-05, + "loss": 4.6845, + "mean_token_accuracy": 0.2326431542634964, + "num_tokens": 20122791.0, + "step": 8960 + }, + { + "entropy": 5.434522533416748, + "epoch": 9.692266089778258, + "grad_norm": 1.125, + "learning_rate": 5.12445582499838e-05, + "loss": 4.6002, + "mean_token_accuracy": 0.25133200734853745, + "num_tokens": 20133665.0, + "step": 8965 + }, + { + "entropy": 5.475171089172363, + "epoch": 9.69767441860465, + "grad_norm": 1.1328125, + "learning_rate": 5.119991376773624e-05, + "loss": 4.6916, + "mean_token_accuracy": 0.240267014503479, + "num_tokens": 20144749.0, + "step": 8970 + }, + { + "entropy": 5.413376522064209, + "epoch": 9.703082747431043, + "grad_norm": 1.1484375, + "learning_rate": 5.115608257551923e-05, + "loss": 4.5854, + "mean_token_accuracy": 0.2520302295684814, + "num_tokens": 20154605.0, + "step": 8975 + }, + { + "entropy": 5.4960608959198, + "epoch": 9.708491076257436, + "grad_norm": 1.1171875, + "learning_rate": 5.11130648326154e-05, + "loss": 4.6974, + "mean_token_accuracy": 0.2541967272758484, + "num_tokens": 20165947.0, + "step": 8980 + }, + { + "entropy": 5.500739574432373, + "epoch": 9.71389940508383, + "grad_norm": 1.1953125, + "learning_rate": 5.107086069535136e-05, + "loss": 4.6777, + "mean_token_accuracy": 0.24398757368326188, + "num_tokens": 20176697.0, + "step": 8985 + }, + { + "entropy": 5.442888402938843, + "epoch": 9.719307733910222, + "grad_norm": 1.1015625, + "learning_rate": 5.1029470317097044e-05, + "loss": 4.6313, + "mean_token_accuracy": 0.24862174689769745, + "num_tokens": 20189022.0, + "step": 8990 + }, + { + "entropy": 5.48392686843872, + "epoch": 9.724716062736615, + "grad_norm": 1.09375, + "learning_rate": 5.098889384826519e-05, + "loss": 4.7315, + "mean_token_accuracy": 0.2422761768102646, + "num_tokens": 20200603.0, + "step": 8995 + }, + { + "entropy": 5.481822299957275, + "epoch": 9.730124391563008, + "grad_norm": 1.2734375, + "learning_rate": 5.094913143631073e-05, + "loss": 4.6952, + "mean_token_accuracy": 0.2398435041308403, + "num_tokens": 20212258.0, + "step": 9000 + }, + { + "epoch": 9.730124391563008, + "eval_entropy": 5.354865049232136, + "eval_loss": 5.839512348175049, + "eval_mean_token_accuracy": 0.1842434752563184, + "eval_num_tokens": 20212258.0, + "eval_runtime": 5.0756, + "eval_samples_per_second": 692.532, + "eval_steps_per_second": 86.69, + "step": 9000 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 4686219886510080.0, + "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..fd76eda --- /dev/null +++ b/checkpoint-9000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 diff --git a/checkpoint-9240/added_tokens.json b/checkpoint-9240/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-9240/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 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-9240/config.json b/checkpoint-9240/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-9240/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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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-9240/generation_config.json b/checkpoint-9240/generation_config.json new file mode 100644 index 0000000..26dbfa4 --- /dev/null +++ b/checkpoint-9240/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-9240/model.safetensors b/checkpoint-9240/model.safetensors new file mode 100644 index 0000000..e682374 --- /dev/null +++ b/checkpoint-9240/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aa5802f557ea6c45993bb1332edd55682b0a29af25ce1b914aae1a13e880f725 +size 78179408 diff --git a/checkpoint-9240/rng_state.pth b/checkpoint-9240/rng_state.pth new file mode 100644 index 0000000..8d7e26b --- /dev/null +++ b/checkpoint-9240/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:388b96ecd87d8b26adf7fd749b438bb16efba96dcd92d8004bf51c570bb9ee03 +size 14244 diff --git a/checkpoint-9240/special_tokens_map.json b/checkpoint-9240/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-9240/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": "", + "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": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-9240/spiece.model b/checkpoint-9240/spiece.model new file mode 100644 index 0000000..6bb4e05 --- /dev/null +++ b/checkpoint-9240/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 diff --git a/checkpoint-9240/tokenizer_config.json b/checkpoint-9240/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-9240/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-9240/trainer_state.json b/checkpoint-9240/trainer_state.json new file mode 100644 index 0000000..1668837 --- /dev/null +++ b/checkpoint-9240/trainer_state.json @@ -0,0 +1,18712 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.989724175229854, + "eval_steps": 500, + "global_step": 9240, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.216819477081298, + "epoch": 0.005408328826392645, + "grad_norm": 3.125, + "learning_rate": 2e-06, + "loss": 11.4704, + "mean_token_accuracy": 0.002567927382187918, + "num_tokens": 10942.0, + "step": 5 + }, + { + "entropy": 10.167101860046387, + "epoch": 0.01081665765278529, + "grad_norm": 3.03125, + "learning_rate": 4.5e-06, + "loss": 11.4695, + "mean_token_accuracy": 0.002131140569690615, + "num_tokens": 21887.0, + "step": 10 + }, + { + "entropy": 10.220389270782471, + "epoch": 0.016224986479177934, + "grad_norm": 3.171875, + "learning_rate": 7e-06, + "loss": 11.4794, + "mean_token_accuracy": 0.0033514668932184575, + "num_tokens": 34345.0, + "step": 15 + }, + { + "entropy": 10.243446731567383, + "epoch": 0.02163331530557058, + "grad_norm": 3.53125, + "learning_rate": 9.5e-06, + "loss": 11.4553, + "mean_token_accuracy": 0.0024542414117604493, + "num_tokens": 45445.0, + "step": 20 + }, + { + "entropy": 10.28340311050415, + "epoch": 0.02704164413196322, + "grad_norm": 3.390625, + "learning_rate": 1.2e-05, + "loss": 11.4364, + "mean_token_accuracy": 0.0033778926474042235, + "num_tokens": 58237.0, + "step": 25 + }, + { + "entropy": 10.235557365417481, + "epoch": 0.03244997295835587, + "grad_norm": 3.859375, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.2493, + "mean_token_accuracy": 0.0032004193868488072, + "num_tokens": 68098.0, + "step": 30 + }, + { + "entropy": 10.295963096618653, + "epoch": 0.03785830178474851, + "grad_norm": 3.96875, + "learning_rate": 1.7000000000000003e-05, + "loss": 11.1958, + "mean_token_accuracy": 0.006015744962496683, + "num_tokens": 79867.0, + "step": 35 + }, + { + "entropy": 10.354150295257568, + "epoch": 0.04326663061114116, + "grad_norm": 3.609375, + "learning_rate": 1.95e-05, + "loss": 10.9911, + "mean_token_accuracy": 0.014508522395044566, + "num_tokens": 91257.0, + "step": 40 + }, + { + "entropy": 10.366622924804688, + "epoch": 0.048674959437533805, + "grad_norm": 3.28125, + "learning_rate": 2.2e-05, + "loss": 10.8589, + "mean_token_accuracy": 0.02584882704541087, + "num_tokens": 103474.0, + "step": 45 + }, + { + "entropy": 10.452950763702393, + "epoch": 0.05408328826392644, + "grad_norm": 2.4375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.6675, + "mean_token_accuracy": 0.03272002637386322, + "num_tokens": 114830.0, + "step": 50 + }, + { + "entropy": 10.536296272277832, + "epoch": 0.05949161709031909, + "grad_norm": 2.046875, + "learning_rate": 2.7e-05, + "loss": 10.5343, + "mean_token_accuracy": 0.03166484478861094, + "num_tokens": 126017.0, + "step": 55 + }, + { + "entropy": 10.5467098236084, + "epoch": 0.06489994591671173, + "grad_norm": 2.125, + "learning_rate": 2.95e-05, + "loss": 10.4777, + "mean_token_accuracy": 0.03441474046558142, + "num_tokens": 138509.0, + "step": 60 + }, + { + "entropy": 10.520569229125977, + "epoch": 0.07030827474310439, + "grad_norm": 1.9296875, + "learning_rate": 3.2e-05, + "loss": 10.3714, + "mean_token_accuracy": 0.03507332652807236, + "num_tokens": 148353.0, + "step": 65 + }, + { + "entropy": 10.503596687316895, + "epoch": 0.07571660356949703, + "grad_norm": 1.90625, + "learning_rate": 3.4500000000000005e-05, + "loss": 10.3324, + "mean_token_accuracy": 0.041431845724582674, + "num_tokens": 160269.0, + "step": 70 + }, + { + "entropy": 10.511462497711182, + "epoch": 0.08112493239588967, + "grad_norm": 2.015625, + "learning_rate": 3.7e-05, + "loss": 10.2291, + "mean_token_accuracy": 0.03545696176588535, + "num_tokens": 171568.0, + "step": 75 + }, + { + "entropy": 10.526496124267577, + "epoch": 0.08653326122228232, + "grad_norm": 2.046875, + "learning_rate": 3.95e-05, + "loss": 10.1765, + "mean_token_accuracy": 0.037500371038913724, + "num_tokens": 184243.0, + "step": 80 + }, + { + "entropy": 10.54613437652588, + "epoch": 0.09194159004867496, + "grad_norm": 2.0, + "learning_rate": 4.2000000000000004e-05, + "loss": 10.0784, + "mean_token_accuracy": 0.03511844500899315, + "num_tokens": 194887.0, + "step": 85 + }, + { + "entropy": 10.554924297332764, + "epoch": 0.09734991887506761, + "grad_norm": 1.953125, + "learning_rate": 4.45e-05, + "loss": 9.9905, + "mean_token_accuracy": 0.03714885897934437, + "num_tokens": 206476.0, + "step": 90 + }, + { + "entropy": 10.555365371704102, + "epoch": 0.10275824770146025, + "grad_norm": 1.9453125, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.8628, + "mean_token_accuracy": 0.04239063672721386, + "num_tokens": 216578.0, + "step": 95 + }, + { + "entropy": 10.5505690574646, + "epoch": 0.10816657652785289, + "grad_norm": 1.921875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.7904, + "mean_token_accuracy": 0.0391782708466053, + "num_tokens": 226941.0, + "step": 100 + }, + { + "entropy": 10.55742769241333, + "epoch": 0.11357490535424554, + "grad_norm": 1.890625, + "learning_rate": 5.2e-05, + "loss": 9.6689, + "mean_token_accuracy": 0.041145208105444905, + "num_tokens": 238060.0, + "step": 105 + }, + { + "entropy": 10.557588005065918, + "epoch": 0.11898323418063818, + "grad_norm": 2.0625, + "learning_rate": 5.45e-05, + "loss": 9.5515, + "mean_token_accuracy": 0.040022865682840345, + "num_tokens": 249137.0, + "step": 110 + }, + { + "entropy": 10.552389335632324, + "epoch": 0.12439156300703083, + "grad_norm": 1.96875, + "learning_rate": 5.7e-05, + "loss": 9.4573, + "mean_token_accuracy": 0.0363481679931283, + "num_tokens": 260712.0, + "step": 115 + }, + { + "entropy": 10.550541019439697, + "epoch": 0.12979989183342347, + "grad_norm": 2.015625, + "learning_rate": 5.9499999999999996e-05, + "loss": 9.2967, + "mean_token_accuracy": 0.03613805994391441, + "num_tokens": 271039.0, + "step": 120 + }, + { + "entropy": 10.543986415863037, + "epoch": 0.1352082206598161, + "grad_norm": 2.109375, + "learning_rate": 6.2e-05, + "loss": 9.1758, + "mean_token_accuracy": 0.03463791813701391, + "num_tokens": 281353.0, + "step": 125 + }, + { + "entropy": 10.52222499847412, + "epoch": 0.14061654948620878, + "grad_norm": 1.8515625, + "learning_rate": 6.450000000000001e-05, + "loss": 9.0799, + "mean_token_accuracy": 0.0336436340585351, + "num_tokens": 292221.0, + "step": 130 + }, + { + "entropy": 10.495210266113281, + "epoch": 0.1460248783126014, + "grad_norm": 1.8515625, + "learning_rate": 6.7e-05, + "loss": 8.9689, + "mean_token_accuracy": 0.03860460445284843, + "num_tokens": 303353.0, + "step": 135 + }, + { + "entropy": 10.463899612426758, + "epoch": 0.15143320713899405, + "grad_norm": 1.8046875, + "learning_rate": 6.950000000000001e-05, + "loss": 8.8343, + "mean_token_accuracy": 0.04367244802415371, + "num_tokens": 314165.0, + "step": 140 + }, + { + "entropy": 10.42198667526245, + "epoch": 0.1568415359653867, + "grad_norm": 1.859375, + "learning_rate": 7.2e-05, + "loss": 8.6741, + "mean_token_accuracy": 0.03774042520672083, + "num_tokens": 326387.0, + "step": 145 + }, + { + "entropy": 10.378685760498048, + "epoch": 0.16224986479177933, + "grad_norm": 1.8125, + "learning_rate": 7.45e-05, + "loss": 8.6144, + "mean_token_accuracy": 0.03910857178270817, + "num_tokens": 339155.0, + "step": 150 + }, + { + "entropy": 10.322171592712403, + "epoch": 0.167658193618172, + "grad_norm": 1.8515625, + "learning_rate": 7.7e-05, + "loss": 8.442, + "mean_token_accuracy": 0.04052340723574162, + "num_tokens": 350643.0, + "step": 155 + }, + { + "entropy": 10.243664264678955, + "epoch": 0.17306652244456464, + "grad_norm": 1.7109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.3197, + "mean_token_accuracy": 0.03984756488353014, + "num_tokens": 361977.0, + "step": 160 + }, + { + "entropy": 10.13938636779785, + "epoch": 0.17847485127095727, + "grad_norm": 1.59375, + "learning_rate": 8.2e-05, + "loss": 8.2581, + "mean_token_accuracy": 0.03751962631940842, + "num_tokens": 373604.0, + "step": 165 + }, + { + "entropy": 10.010906314849853, + "epoch": 0.1838831800973499, + "grad_norm": 1.4296875, + "learning_rate": 8.450000000000001e-05, + "loss": 8.1311, + "mean_token_accuracy": 0.03923973124474287, + "num_tokens": 384306.0, + "step": 170 + }, + { + "entropy": 9.842521572113037, + "epoch": 0.18929150892374255, + "grad_norm": 1.34375, + "learning_rate": 8.7e-05, + "loss": 7.9844, + "mean_token_accuracy": 0.0418755117803812, + "num_tokens": 396479.0, + "step": 175 + }, + { + "entropy": 9.654963970184326, + "epoch": 0.19469983775013522, + "grad_norm": 1.25, + "learning_rate": 8.95e-05, + "loss": 7.8669, + "mean_token_accuracy": 0.043255141377449034, + "num_tokens": 408489.0, + "step": 180 + }, + { + "entropy": 9.446887016296387, + "epoch": 0.20010816657652786, + "grad_norm": 1.078125, + "learning_rate": 9.2e-05, + "loss": 7.7954, + "mean_token_accuracy": 0.04363793805241585, + "num_tokens": 419339.0, + "step": 185 + }, + { + "entropy": 9.211331462860107, + "epoch": 0.2055164954029205, + "grad_norm": 0.9296875, + "learning_rate": 9.45e-05, + "loss": 7.7041, + "mean_token_accuracy": 0.043199213966727254, + "num_tokens": 430486.0, + "step": 190 + }, + { + "entropy": 8.930498027801514, + "epoch": 0.21092482422931313, + "grad_norm": 0.85546875, + "learning_rate": 9.7e-05, + "loss": 7.6534, + "mean_token_accuracy": 0.04089142791926861, + "num_tokens": 440414.0, + "step": 195 + }, + { + "entropy": 8.629734897613526, + "epoch": 0.21633315305570577, + "grad_norm": 0.72265625, + "learning_rate": 9.95e-05, + "loss": 7.565, + "mean_token_accuracy": 0.044371229410171506, + "num_tokens": 451475.0, + "step": 200 + }, + { + "entropy": 8.362038612365723, + "epoch": 0.22174148188209844, + "grad_norm": 0.7109375, + "learning_rate": 0.000102, + "loss": 7.5923, + "mean_token_accuracy": 0.0473127044737339, + "num_tokens": 462053.0, + "step": 205 + }, + { + "entropy": 8.213934516906738, + "epoch": 0.22714981070849108, + "grad_norm": 0.6484375, + "learning_rate": 0.00010449999999999999, + "loss": 7.5438, + "mean_token_accuracy": 0.04470139406621456, + "num_tokens": 473207.0, + "step": 210 + }, + { + "entropy": 8.11230001449585, + "epoch": 0.23255813953488372, + "grad_norm": 0.6796875, + "learning_rate": 0.000107, + "loss": 7.5204, + "mean_token_accuracy": 0.04156735874712467, + "num_tokens": 484999.0, + "step": 215 + }, + { + "entropy": 8.029958534240723, + "epoch": 0.23796646836127636, + "grad_norm": 0.6328125, + "learning_rate": 0.0001095, + "loss": 7.5247, + "mean_token_accuracy": 0.045830757543444636, + "num_tokens": 496772.0, + "step": 220 + }, + { + "entropy": 7.934043312072754, + "epoch": 0.24337479718766902, + "grad_norm": 0.6875, + "learning_rate": 0.000112, + "loss": 7.498, + "mean_token_accuracy": 0.043144963681697845, + "num_tokens": 507782.0, + "step": 225 + }, + { + "entropy": 7.86778154373169, + "epoch": 0.24878312601406166, + "grad_norm": 0.81640625, + "learning_rate": 0.0001145, + "loss": 7.4267, + "mean_token_accuracy": 0.052391791343688966, + "num_tokens": 518950.0, + "step": 230 + }, + { + "entropy": 7.84511079788208, + "epoch": 0.2541914548404543, + "grad_norm": 0.65234375, + "learning_rate": 0.00011700000000000001, + "loss": 7.4877, + "mean_token_accuracy": 0.055992310866713524, + "num_tokens": 530795.0, + "step": 235 + }, + { + "entropy": 7.866034030914307, + "epoch": 0.25959978366684694, + "grad_norm": 0.70703125, + "learning_rate": 0.00011949999999999999, + "loss": 7.4986, + "mean_token_accuracy": 0.054794903844594955, + "num_tokens": 542878.0, + "step": 240 + }, + { + "entropy": 7.8260335445404055, + "epoch": 0.2650081124932396, + "grad_norm": 0.63671875, + "learning_rate": 0.000122, + "loss": 7.4095, + "mean_token_accuracy": 0.06074765659868717, + "num_tokens": 553682.0, + "step": 245 + }, + { + "entropy": 7.705665588378906, + "epoch": 0.2704164413196322, + "grad_norm": 0.62890625, + "learning_rate": 0.0001245, + "loss": 7.4244, + "mean_token_accuracy": 0.06472517400979996, + "num_tokens": 564433.0, + "step": 250 + }, + { + "entropy": 7.750538444519043, + "epoch": 0.27582477014602486, + "grad_norm": 0.6484375, + "learning_rate": 0.000127, + "loss": 7.4362, + "mean_token_accuracy": 0.06701958850026131, + "num_tokens": 576001.0, + "step": 255 + }, + { + "entropy": 7.732649183273315, + "epoch": 0.28123309897241755, + "grad_norm": 0.59765625, + "learning_rate": 0.0001295, + "loss": 7.3795, + "mean_token_accuracy": 0.0689960490912199, + "num_tokens": 587138.0, + "step": 260 + }, + { + "entropy": 7.777127647399903, + "epoch": 0.2866414277988102, + "grad_norm": 0.72265625, + "learning_rate": 0.000132, + "loss": 7.3437, + "mean_token_accuracy": 0.07119518890976906, + "num_tokens": 597572.0, + "step": 265 + }, + { + "entropy": 7.722668266296386, + "epoch": 0.2920497566252028, + "grad_norm": 0.7265625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3154, + "mean_token_accuracy": 0.07119804993271828, + "num_tokens": 608879.0, + "step": 270 + }, + { + "entropy": 7.613141679763794, + "epoch": 0.29745808545159547, + "grad_norm": 0.65625, + "learning_rate": 0.00013700000000000002, + "loss": 7.3541, + "mean_token_accuracy": 0.06755611971020699, + "num_tokens": 620439.0, + "step": 275 + }, + { + "entropy": 7.718517589569092, + "epoch": 0.3028664142779881, + "grad_norm": 0.70703125, + "learning_rate": 0.0001395, + "loss": 7.3973, + "mean_token_accuracy": 0.07045769393444061, + "num_tokens": 632543.0, + "step": 280 + }, + { + "entropy": 7.743256139755249, + "epoch": 0.30827474310438074, + "grad_norm": 0.84375, + "learning_rate": 0.00014199999999999998, + "loss": 7.4428, + "mean_token_accuracy": 0.07540748417377471, + "num_tokens": 643369.0, + "step": 285 + }, + { + "entropy": 7.690731143951416, + "epoch": 0.3136830719307734, + "grad_norm": 0.765625, + "learning_rate": 0.0001445, + "loss": 7.3153, + "mean_token_accuracy": 0.07570057697594165, + "num_tokens": 655328.0, + "step": 290 + }, + { + "entropy": 7.686294317245483, + "epoch": 0.319091400757166, + "grad_norm": 0.85546875, + "learning_rate": 0.000147, + "loss": 7.3655, + "mean_token_accuracy": 0.07609904557466507, + "num_tokens": 665780.0, + "step": 295 + }, + { + "entropy": 7.696232032775879, + "epoch": 0.32449972958355866, + "grad_norm": 0.79296875, + "learning_rate": 0.0001495, + "loss": 7.2842, + "mean_token_accuracy": 0.0769994892179966, + "num_tokens": 676566.0, + "step": 300 + }, + { + "entropy": 7.6681499004364015, + "epoch": 0.3299080584099513, + "grad_norm": 0.80859375, + "learning_rate": 0.000152, + "loss": 7.2739, + "mean_token_accuracy": 0.07856337130069732, + "num_tokens": 687407.0, + "step": 305 + }, + { + "entropy": 7.742949819564819, + "epoch": 0.335316387236344, + "grad_norm": 0.74609375, + "learning_rate": 0.00015450000000000001, + "loss": 7.204, + "mean_token_accuracy": 0.08214914500713348, + "num_tokens": 698162.0, + "step": 310 + }, + { + "entropy": 7.601278686523438, + "epoch": 0.34072471606273663, + "grad_norm": 0.68359375, + "learning_rate": 0.000157, + "loss": 7.201, + "mean_token_accuracy": 0.07435800954699516, + "num_tokens": 708743.0, + "step": 315 + }, + { + "entropy": 7.678054904937744, + "epoch": 0.34613304488912927, + "grad_norm": 0.7421875, + "learning_rate": 0.0001595, + "loss": 7.3656, + "mean_token_accuracy": 0.08484909981489182, + "num_tokens": 719828.0, + "step": 320 + }, + { + "entropy": 7.735585069656372, + "epoch": 0.3515413737155219, + "grad_norm": 0.671875, + "learning_rate": 0.000162, + "loss": 7.3253, + "mean_token_accuracy": 0.07948748283088207, + "num_tokens": 732514.0, + "step": 325 + }, + { + "entropy": 7.664690399169922, + "epoch": 0.35694970254191455, + "grad_norm": 0.71484375, + "learning_rate": 0.00016450000000000001, + "loss": 7.1636, + "mean_token_accuracy": 0.08530994355678559, + "num_tokens": 742391.0, + "step": 330 + }, + { + "entropy": 7.560717058181763, + "epoch": 0.3623580313683072, + "grad_norm": 0.98828125, + "learning_rate": 0.00016700000000000002, + "loss": 7.1707, + "mean_token_accuracy": 0.07897167801856994, + "num_tokens": 753638.0, + "step": 335 + }, + { + "entropy": 7.659924840927124, + "epoch": 0.3677663601946998, + "grad_norm": 0.84375, + "learning_rate": 0.00016950000000000003, + "loss": 7.3564, + "mean_token_accuracy": 0.08199642971158028, + "num_tokens": 764850.0, + "step": 340 + }, + { + "entropy": 7.605685758590698, + "epoch": 0.37317468902109246, + "grad_norm": 0.96875, + "learning_rate": 0.00017199999999999998, + "loss": 7.143, + "mean_token_accuracy": 0.08915193602442742, + "num_tokens": 776192.0, + "step": 345 + }, + { + "entropy": 7.580406904220581, + "epoch": 0.3785830178474851, + "grad_norm": 0.93359375, + "learning_rate": 0.00017449999999999999, + "loss": 7.0854, + "mean_token_accuracy": 0.08997164443135261, + "num_tokens": 787051.0, + "step": 350 + }, + { + "entropy": 7.528575992584228, + "epoch": 0.3839913466738778, + "grad_norm": 0.7578125, + "learning_rate": 0.000177, + "loss": 7.1132, + "mean_token_accuracy": 0.08350502476096153, + "num_tokens": 799281.0, + "step": 355 + }, + { + "entropy": 7.5134275436401365, + "epoch": 0.38939967550027044, + "grad_norm": 0.67578125, + "learning_rate": 0.0001795, + "loss": 7.124, + "mean_token_accuracy": 0.08074113614857197, + "num_tokens": 810003.0, + "step": 360 + }, + { + "entropy": 7.528310012817383, + "epoch": 0.3948080043266631, + "grad_norm": 0.8125, + "learning_rate": 0.000182, + "loss": 7.0824, + "mean_token_accuracy": 0.08352047577500343, + "num_tokens": 819749.0, + "step": 365 + }, + { + "entropy": 7.540182399749756, + "epoch": 0.4002163331530557, + "grad_norm": 0.75390625, + "learning_rate": 0.0001845, + "loss": 7.0848, + "mean_token_accuracy": 0.08753013238310814, + "num_tokens": 830552.0, + "step": 370 + }, + { + "entropy": 7.491492366790771, + "epoch": 0.40562466197944835, + "grad_norm": 0.79296875, + "learning_rate": 0.000187, + "loss": 7.1871, + "mean_token_accuracy": 0.08871370777487755, + "num_tokens": 840495.0, + "step": 375 + }, + { + "entropy": 7.468461799621582, + "epoch": 0.411032990805841, + "grad_norm": 0.69140625, + "learning_rate": 0.0001895, + "loss": 7.1005, + "mean_token_accuracy": 0.08377788811922074, + "num_tokens": 852915.0, + "step": 380 + }, + { + "entropy": 7.483887434005737, + "epoch": 0.41644131963223363, + "grad_norm": 0.79296875, + "learning_rate": 0.000192, + "loss": 7.0612, + "mean_token_accuracy": 0.09137825071811675, + "num_tokens": 862762.0, + "step": 385 + }, + { + "entropy": 7.449963474273682, + "epoch": 0.42184964845862627, + "grad_norm": 0.78515625, + "learning_rate": 0.0001945, + "loss": 7.0182, + "mean_token_accuracy": 0.08982106223702431, + "num_tokens": 873023.0, + "step": 390 + }, + { + "entropy": 7.487195777893066, + "epoch": 0.4272579772850189, + "grad_norm": 0.8046875, + "learning_rate": 0.00019700000000000002, + "loss": 7.1135, + "mean_token_accuracy": 0.08343466520309448, + "num_tokens": 885281.0, + "step": 395 + }, + { + "entropy": 7.404913902282715, + "epoch": 0.43266630611141155, + "grad_norm": 0.7265625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1066, + "mean_token_accuracy": 0.09114829823374748, + "num_tokens": 896210.0, + "step": 400 + }, + { + "entropy": 7.482153987884521, + "epoch": 0.43807463493780424, + "grad_norm": 0.68359375, + "learning_rate": 0.000202, + "loss": 7.022, + "mean_token_accuracy": 0.09178107455372811, + "num_tokens": 909028.0, + "step": 405 + }, + { + "entropy": 7.419927978515625, + "epoch": 0.4434829637641969, + "grad_norm": 0.8125, + "learning_rate": 0.00020449999999999998, + "loss": 6.9525, + "mean_token_accuracy": 0.09246442466974258, + "num_tokens": 919710.0, + "step": 410 + }, + { + "entropy": 7.486433124542236, + "epoch": 0.4488912925905895, + "grad_norm": 0.73828125, + "learning_rate": 0.000207, + "loss": 7.0043, + "mean_token_accuracy": 0.09004321321845055, + "num_tokens": 930019.0, + "step": 415 + }, + { + "entropy": 7.388433170318604, + "epoch": 0.45429962141698216, + "grad_norm": 0.796875, + "learning_rate": 0.0002095, + "loss": 6.9292, + "mean_token_accuracy": 0.09662804156541824, + "num_tokens": 940535.0, + "step": 420 + }, + { + "entropy": 7.219930601119995, + "epoch": 0.4597079502433748, + "grad_norm": 0.99609375, + "learning_rate": 0.000212, + "loss": 6.8966, + "mean_token_accuracy": 0.09820497632026673, + "num_tokens": 951390.0, + "step": 425 + }, + { + "entropy": 7.334374332427979, + "epoch": 0.46511627906976744, + "grad_norm": 0.828125, + "learning_rate": 0.0002145, + "loss": 6.9157, + "mean_token_accuracy": 0.0975546158850193, + "num_tokens": 963010.0, + "step": 430 + }, + { + "entropy": 7.2931358337402346, + "epoch": 0.4705246078961601, + "grad_norm": 0.828125, + "learning_rate": 0.00021700000000000002, + "loss": 6.8682, + "mean_token_accuracy": 0.09842227175831794, + "num_tokens": 974032.0, + "step": 435 + }, + { + "entropy": 7.399092769622802, + "epoch": 0.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.0002195, + "loss": 6.9194, + "mean_token_accuracy": 0.10364327356219291, + "num_tokens": 983954.0, + "step": 440 + }, + { + "entropy": 7.277565431594849, + "epoch": 0.48134126554894535, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9341, + "mean_token_accuracy": 0.10381620079278946, + "num_tokens": 994135.0, + "step": 445 + }, + { + "entropy": 7.305540657043457, + "epoch": 0.48674959437533805, + "grad_norm": 0.859375, + "learning_rate": 0.0002245, + "loss": 6.8908, + "mean_token_accuracy": 0.10408909693360328, + "num_tokens": 1006275.0, + "step": 450 + }, + { + "entropy": 7.190761947631836, + "epoch": 0.4921579232017307, + "grad_norm": 0.7890625, + "learning_rate": 0.00022700000000000002, + "loss": 6.7296, + "mean_token_accuracy": 0.11000855416059493, + "num_tokens": 1017767.0, + "step": 455 + }, + { + "entropy": 7.202107238769531, + "epoch": 0.4975662520281233, + "grad_norm": 0.85546875, + "learning_rate": 0.00022950000000000002, + "loss": 6.8501, + "mean_token_accuracy": 0.1077425830066204, + "num_tokens": 1028286.0, + "step": 460 + }, + { + "entropy": 7.2581945896148685, + "epoch": 0.502974580854516, + "grad_norm": 0.8515625, + "learning_rate": 0.00023200000000000003, + "loss": 6.8519, + "mean_token_accuracy": 0.10369035303592682, + "num_tokens": 1040555.0, + "step": 465 + }, + { + "entropy": 7.310864782333374, + "epoch": 0.5083829096809086, + "grad_norm": 0.8046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9436, + "mean_token_accuracy": 0.10092839002609252, + "num_tokens": 1053668.0, + "step": 470 + }, + { + "entropy": 7.198493099212646, + "epoch": 0.5137912385073012, + "grad_norm": 0.85546875, + "learning_rate": 0.000237, + "loss": 6.8919, + "mean_token_accuracy": 0.10193371847271919, + "num_tokens": 1066042.0, + "step": 475 + }, + { + "entropy": 7.229844808578491, + "epoch": 0.5191995673336939, + "grad_norm": 0.921875, + "learning_rate": 0.0002395, + "loss": 6.8927, + "mean_token_accuracy": 0.10288028344511986, + "num_tokens": 1077843.0, + "step": 480 + }, + { + "entropy": 7.212245082855224, + "epoch": 0.5246078961600865, + "grad_norm": 0.8671875, + "learning_rate": 0.000242, + "loss": 6.7852, + "mean_token_accuracy": 0.10650102347135544, + "num_tokens": 1089448.0, + "step": 485 + }, + { + "entropy": 7.108809137344361, + "epoch": 0.5300162249864792, + "grad_norm": 0.84375, + "learning_rate": 0.0002445, + "loss": 6.8789, + "mean_token_accuracy": 0.10020507723093033, + "num_tokens": 1100989.0, + "step": 490 + }, + { + "entropy": 7.3636938571929935, + "epoch": 0.5354245538128718, + "grad_norm": 0.7734375, + "learning_rate": 0.000247, + "loss": 6.9124, + "mean_token_accuracy": 0.10427305847406387, + "num_tokens": 1113012.0, + "step": 495 + }, + { + "entropy": 7.121536731719971, + "epoch": 0.5408328826392644, + "grad_norm": 0.80078125, + "learning_rate": 0.0002495, + "loss": 6.8686, + "mean_token_accuracy": 0.10281460434198379, + "num_tokens": 1123551.0, + "step": 500 + }, + { + "epoch": 0.5408328826392644, + "eval_entropy": 7.235462856292725, + "eval_loss": 7.000098705291748, + "eval_mean_token_accuracy": 0.10328642907975749, + "eval_num_tokens": 1123551.0, + "eval_runtime": 3.6492, + "eval_samples_per_second": 963.223, + "eval_steps_per_second": 120.574, + "step": 500 + }, + { + "entropy": 7.183961009979248, + "epoch": 0.5462412114656571, + "grad_norm": 0.81640625, + "learning_rate": 0.000252, + "loss": 6.781, + "mean_token_accuracy": 0.10652425587177276, + "num_tokens": 1133838.0, + "step": 505 + }, + { + "entropy": 7.226875591278076, + "epoch": 0.5516495402920497, + "grad_norm": 0.9140625, + "learning_rate": 0.0002545, + "loss": 6.814, + "mean_token_accuracy": 0.10197880044579506, + "num_tokens": 1146005.0, + "step": 510 + }, + { + "entropy": 7.15813946723938, + "epoch": 0.5570578691184424, + "grad_norm": 0.890625, + "learning_rate": 0.000257, + "loss": 6.8962, + "mean_token_accuracy": 0.10023846477270126, + "num_tokens": 1157328.0, + "step": 515 + }, + { + "entropy": 7.096353960037232, + "epoch": 0.5624661979448351, + "grad_norm": 0.74609375, + "learning_rate": 0.0002595, + "loss": 6.7064, + "mean_token_accuracy": 0.11231652200222016, + "num_tokens": 1168592.0, + "step": 520 + }, + { + "entropy": 7.194019794464111, + "epoch": 0.5678745267712277, + "grad_norm": 0.90625, + "learning_rate": 0.000262, + "loss": 6.8205, + "mean_token_accuracy": 0.10801674649119378, + "num_tokens": 1178680.0, + "step": 525 + }, + { + "entropy": 7.094686985015869, + "epoch": 0.5732828555976204, + "grad_norm": 0.828125, + "learning_rate": 0.00026450000000000003, + "loss": 6.7643, + "mean_token_accuracy": 0.11055622547864914, + "num_tokens": 1188825.0, + "step": 530 + }, + { + "entropy": 7.117889642715454, + "epoch": 0.578691184424013, + "grad_norm": 0.703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.802, + "mean_token_accuracy": 0.10735909044742584, + "num_tokens": 1201375.0, + "step": 535 + }, + { + "entropy": 7.267568588256836, + "epoch": 0.5840995132504057, + "grad_norm": 0.84375, + "learning_rate": 0.00026950000000000005, + "loss": 6.9092, + "mean_token_accuracy": 0.10683771148324013, + "num_tokens": 1211915.0, + "step": 540 + }, + { + "entropy": 7.125114440917969, + "epoch": 0.5895078420767983, + "grad_norm": 0.84765625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8284, + "mean_token_accuracy": 0.11069979071617127, + "num_tokens": 1223151.0, + "step": 545 + }, + { + "entropy": 7.086154651641846, + "epoch": 0.5949161709031909, + "grad_norm": 0.921875, + "learning_rate": 0.0002745, + "loss": 6.7564, + "mean_token_accuracy": 0.1088243767619133, + "num_tokens": 1234229.0, + "step": 550 + }, + { + "entropy": 7.090384912490845, + "epoch": 0.6003244997295836, + "grad_norm": 0.76953125, + "learning_rate": 0.000277, + "loss": 6.7558, + "mean_token_accuracy": 0.11664472594857216, + "num_tokens": 1245298.0, + "step": 555 + }, + { + "entropy": 7.033158445358277, + "epoch": 0.6057328285559762, + "grad_norm": 0.8359375, + "learning_rate": 0.0002795, + "loss": 6.7494, + "mean_token_accuracy": 0.1083575077354908, + "num_tokens": 1256154.0, + "step": 560 + }, + { + "entropy": 7.113464641571045, + "epoch": 0.6111411573823688, + "grad_norm": 0.859375, + "learning_rate": 0.00028199999999999997, + "loss": 6.6708, + "mean_token_accuracy": 0.11131817921996116, + "num_tokens": 1267404.0, + "step": 565 + }, + { + "entropy": 7.056666231155395, + "epoch": 0.6165494862087615, + "grad_norm": 0.78515625, + "learning_rate": 0.0002845, + "loss": 6.7204, + "mean_token_accuracy": 0.11155360341072082, + "num_tokens": 1278894.0, + "step": 570 + }, + { + "entropy": 7.0011985301971436, + "epoch": 0.6219578150351541, + "grad_norm": 0.94921875, + "learning_rate": 0.000287, + "loss": 6.698, + "mean_token_accuracy": 0.11561334431171418, + "num_tokens": 1290408.0, + "step": 575 + }, + { + "entropy": 7.103354215621948, + "epoch": 0.6273661438615468, + "grad_norm": 0.91015625, + "learning_rate": 0.0002895, + "loss": 6.7649, + "mean_token_accuracy": 0.11274085119366646, + "num_tokens": 1301508.0, + "step": 580 + }, + { + "entropy": 7.132675695419311, + "epoch": 0.6327744726879394, + "grad_norm": 0.88671875, + "learning_rate": 0.000292, + "loss": 6.7385, + "mean_token_accuracy": 0.11607649326324462, + "num_tokens": 1312551.0, + "step": 585 + }, + { + "entropy": 7.114047622680664, + "epoch": 0.638182801514332, + "grad_norm": 0.80859375, + "learning_rate": 0.0002945, + "loss": 6.8501, + "mean_token_accuracy": 0.10954068154096604, + "num_tokens": 1324876.0, + "step": 590 + }, + { + "entropy": 7.035396909713745, + "epoch": 0.6435911303407247, + "grad_norm": 0.7890625, + "learning_rate": 0.000297, + "loss": 6.7259, + "mean_token_accuracy": 0.11332784742116928, + "num_tokens": 1335401.0, + "step": 595 + }, + { + "entropy": 6.929111957550049, + "epoch": 0.6489994591671173, + "grad_norm": 0.91015625, + "learning_rate": 0.0002995, + "loss": 6.6573, + "mean_token_accuracy": 0.113351521641016, + "num_tokens": 1348265.0, + "step": 600 + }, + { + "entropy": 7.042233514785766, + "epoch": 0.65440778799351, + "grad_norm": 0.859375, + "learning_rate": 0.000302, + "loss": 6.6259, + "mean_token_accuracy": 0.11777078881859779, + "num_tokens": 1359078.0, + "step": 605 + }, + { + "entropy": 6.8026378631591795, + "epoch": 0.6598161168199026, + "grad_norm": 0.8203125, + "learning_rate": 0.0003045, + "loss": 6.5128, + "mean_token_accuracy": 0.11638505533337593, + "num_tokens": 1369499.0, + "step": 610 + }, + { + "entropy": 6.9526762008667, + "epoch": 0.6652244456462953, + "grad_norm": 0.828125, + "learning_rate": 0.000307, + "loss": 6.6241, + "mean_token_accuracy": 0.11522940248250961, + "num_tokens": 1380329.0, + "step": 615 + }, + { + "entropy": 6.96287784576416, + "epoch": 0.670632774472688, + "grad_norm": 0.78515625, + "learning_rate": 0.0003095, + "loss": 6.6931, + "mean_token_accuracy": 0.11117734163999557, + "num_tokens": 1393047.0, + "step": 620 + }, + { + "entropy": 6.956924057006836, + "epoch": 0.6760411032990806, + "grad_norm": 0.890625, + "learning_rate": 0.000312, + "loss": 6.6917, + "mean_token_accuracy": 0.11352601423859596, + "num_tokens": 1405600.0, + "step": 625 + }, + { + "entropy": 6.947170162200928, + "epoch": 0.6814494321254733, + "grad_norm": 0.92578125, + "learning_rate": 0.0003145, + "loss": 6.6206, + "mean_token_accuracy": 0.1178322158753872, + "num_tokens": 1416670.0, + "step": 630 + }, + { + "entropy": 6.968237590789795, + "epoch": 0.6868577609518659, + "grad_norm": 0.8515625, + "learning_rate": 0.000317, + "loss": 6.6379, + "mean_token_accuracy": 0.11947860792279244, + "num_tokens": 1428929.0, + "step": 635 + }, + { + "entropy": 6.879861640930176, + "epoch": 0.6922660897782585, + "grad_norm": 0.97265625, + "learning_rate": 0.0003195, + "loss": 6.5854, + "mean_token_accuracy": 0.11590865403413772, + "num_tokens": 1439298.0, + "step": 640 + }, + { + "entropy": 6.971583414077759, + "epoch": 0.6976744186046512, + "grad_norm": 0.828125, + "learning_rate": 0.000322, + "loss": 6.6593, + "mean_token_accuracy": 0.12206053733825684, + "num_tokens": 1449853.0, + "step": 645 + }, + { + "entropy": 6.976396465301514, + "epoch": 0.7030827474310438, + "grad_norm": 0.95703125, + "learning_rate": 0.00032450000000000003, + "loss": 6.7355, + "mean_token_accuracy": 0.11254098638892174, + "num_tokens": 1460816.0, + "step": 650 + }, + { + "entropy": 6.860588884353637, + "epoch": 0.7084910762574365, + "grad_norm": 0.8359375, + "learning_rate": 0.00032700000000000003, + "loss": 6.5909, + "mean_token_accuracy": 0.1176596887409687, + "num_tokens": 1473003.0, + "step": 655 + }, + { + "entropy": 6.978535223007202, + "epoch": 0.7138994050838291, + "grad_norm": 0.96875, + "learning_rate": 0.00032950000000000004, + "loss": 6.7073, + "mean_token_accuracy": 0.11083203330636024, + "num_tokens": 1484745.0, + "step": 660 + }, + { + "entropy": 6.940826559066773, + "epoch": 0.7193077339102217, + "grad_norm": 0.921875, + "learning_rate": 0.00033200000000000005, + "loss": 6.5861, + "mean_token_accuracy": 0.11994393318891525, + "num_tokens": 1495803.0, + "step": 665 + }, + { + "entropy": 6.849512815475464, + "epoch": 0.7247160627366144, + "grad_norm": 0.90625, + "learning_rate": 0.00033450000000000005, + "loss": 6.5984, + "mean_token_accuracy": 0.1257324993610382, + "num_tokens": 1507504.0, + "step": 670 + }, + { + "entropy": 7.007606935501099, + "epoch": 0.730124391563007, + "grad_norm": 0.7734375, + "learning_rate": 0.000337, + "loss": 6.6877, + "mean_token_accuracy": 0.11458093971014023, + "num_tokens": 1518765.0, + "step": 675 + }, + { + "entropy": 6.8483922481536865, + "epoch": 0.7355327203893997, + "grad_norm": 0.83203125, + "learning_rate": 0.0003395, + "loss": 6.5605, + "mean_token_accuracy": 0.12220490351319313, + "num_tokens": 1529481.0, + "step": 680 + }, + { + "entropy": 6.830742645263672, + "epoch": 0.7409410492157923, + "grad_norm": 0.95703125, + "learning_rate": 0.000342, + "loss": 6.5844, + "mean_token_accuracy": 0.12169603258371353, + "num_tokens": 1539612.0, + "step": 685 + }, + { + "entropy": 6.952711391448974, + "epoch": 0.7463493780421849, + "grad_norm": 0.78515625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7252, + "mean_token_accuracy": 0.1164122186601162, + "num_tokens": 1551370.0, + "step": 690 + }, + { + "entropy": 6.95903000831604, + "epoch": 0.7517577068685776, + "grad_norm": 0.859375, + "learning_rate": 0.000347, + "loss": 6.6168, + "mean_token_accuracy": 0.1276045598089695, + "num_tokens": 1561662.0, + "step": 695 + }, + { + "entropy": 6.883334970474243, + "epoch": 0.7571660356949702, + "grad_norm": 0.8046875, + "learning_rate": 0.0003495, + "loss": 6.5939, + "mean_token_accuracy": 0.12063917517662048, + "num_tokens": 1573479.0, + "step": 700 + }, + { + "entropy": 6.813182020187378, + "epoch": 0.7625743645213628, + "grad_norm": 0.96875, + "learning_rate": 0.000352, + "loss": 6.5471, + "mean_token_accuracy": 0.12155145853757858, + "num_tokens": 1583684.0, + "step": 705 + }, + { + "entropy": 6.886851835250854, + "epoch": 0.7679826933477556, + "grad_norm": 0.83203125, + "learning_rate": 0.0003545, + "loss": 6.5924, + "mean_token_accuracy": 0.11929144784808159, + "num_tokens": 1595694.0, + "step": 710 + }, + { + "entropy": 6.864528703689575, + "epoch": 0.7733910221741482, + "grad_norm": 0.90234375, + "learning_rate": 0.000357, + "loss": 6.5786, + "mean_token_accuracy": 0.11884318962693215, + "num_tokens": 1606104.0, + "step": 715 + }, + { + "entropy": 6.854226732254029, + "epoch": 0.7787993510005409, + "grad_norm": 0.890625, + "learning_rate": 0.0003595, + "loss": 6.6524, + "mean_token_accuracy": 0.12053779140114784, + "num_tokens": 1617368.0, + "step": 720 + }, + { + "entropy": 6.926800298690796, + "epoch": 0.7842076798269335, + "grad_norm": 0.86328125, + "learning_rate": 0.000362, + "loss": 6.6771, + "mean_token_accuracy": 0.11467185989022255, + "num_tokens": 1630485.0, + "step": 725 + }, + { + "entropy": 6.893377113342285, + "epoch": 0.7896160086533262, + "grad_norm": 0.859375, + "learning_rate": 0.0003645, + "loss": 6.5096, + "mean_token_accuracy": 0.12203627899289131, + "num_tokens": 1641411.0, + "step": 730 + }, + { + "entropy": 6.7226519107818605, + "epoch": 0.7950243374797188, + "grad_norm": 0.84765625, + "learning_rate": 0.000367, + "loss": 6.5406, + "mean_token_accuracy": 0.1242325022816658, + "num_tokens": 1653737.0, + "step": 735 + }, + { + "entropy": 6.925417041778564, + "epoch": 0.8004326663061114, + "grad_norm": 1.1015625, + "learning_rate": 0.0003695, + "loss": 6.7243, + "mean_token_accuracy": 0.11538803800940514, + "num_tokens": 1665910.0, + "step": 740 + }, + { + "entropy": 6.879580736160278, + "epoch": 0.8058409951325041, + "grad_norm": 0.83984375, + "learning_rate": 0.000372, + "loss": 6.4739, + "mean_token_accuracy": 0.1237889863550663, + "num_tokens": 1676927.0, + "step": 745 + }, + { + "entropy": 6.77749228477478, + "epoch": 0.8112493239588967, + "grad_norm": 0.9453125, + "learning_rate": 0.0003745, + "loss": 6.5252, + "mean_token_accuracy": 0.1222883902490139, + "num_tokens": 1688167.0, + "step": 750 + }, + { + "entropy": 6.693407392501831, + "epoch": 0.8166576527852893, + "grad_norm": 0.82421875, + "learning_rate": 0.000377, + "loss": 6.6017, + "mean_token_accuracy": 0.12450111284852028, + "num_tokens": 1699899.0, + "step": 755 + }, + { + "entropy": 6.863288259506225, + "epoch": 0.822065981611682, + "grad_norm": 0.93359375, + "learning_rate": 0.0003795, + "loss": 6.5193, + "mean_token_accuracy": 0.12551374658942221, + "num_tokens": 1709862.0, + "step": 760 + }, + { + "entropy": 6.761876726150513, + "epoch": 0.8274743104380746, + "grad_norm": 0.94921875, + "learning_rate": 0.000382, + "loss": 6.4988, + "mean_token_accuracy": 0.12482719644904136, + "num_tokens": 1719902.0, + "step": 765 + }, + { + "entropy": 6.813378047943115, + "epoch": 0.8328826392644673, + "grad_norm": 0.80859375, + "learning_rate": 0.0003845, + "loss": 6.5149, + "mean_token_accuracy": 0.12510257288813592, + "num_tokens": 1730351.0, + "step": 770 + }, + { + "entropy": 6.691298294067383, + "epoch": 0.8382909680908599, + "grad_norm": 0.8125, + "learning_rate": 0.00038700000000000003, + "loss": 6.4878, + "mean_token_accuracy": 0.12052481323480606, + "num_tokens": 1741783.0, + "step": 775 + }, + { + "entropy": 6.732113790512085, + "epoch": 0.8436992969172525, + "grad_norm": 0.82421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.5123, + "mean_token_accuracy": 0.12696686387062073, + "num_tokens": 1752952.0, + "step": 780 + }, + { + "entropy": 6.788561725616455, + "epoch": 0.8491076257436452, + "grad_norm": 0.890625, + "learning_rate": 0.00039200000000000004, + "loss": 6.5427, + "mean_token_accuracy": 0.1241848573088646, + "num_tokens": 1764014.0, + "step": 785 + }, + { + "entropy": 6.777952671051025, + "epoch": 0.8545159545700378, + "grad_norm": 0.8125, + "learning_rate": 0.00039450000000000005, + "loss": 6.5151, + "mean_token_accuracy": 0.12806738466024398, + "num_tokens": 1776154.0, + "step": 790 + }, + { + "entropy": 6.786651563644409, + "epoch": 0.8599242833964305, + "grad_norm": 0.78515625, + "learning_rate": 0.00039700000000000005, + "loss": 6.5609, + "mean_token_accuracy": 0.1211055114865303, + "num_tokens": 1787292.0, + "step": 795 + }, + { + "entropy": 6.721488761901855, + "epoch": 0.8653326122228231, + "grad_norm": 0.8125, + "learning_rate": 0.0003995, + "loss": 6.5258, + "mean_token_accuracy": 0.12567294761538506, + "num_tokens": 1799469.0, + "step": 800 + }, + { + "entropy": 6.660627269744873, + "epoch": 0.8707409410492158, + "grad_norm": 0.88671875, + "learning_rate": 0.000402, + "loss": 6.4041, + "mean_token_accuracy": 0.1303122013807297, + "num_tokens": 1810091.0, + "step": 805 + }, + { + "entropy": 6.775736951828003, + "epoch": 0.8761492698756085, + "grad_norm": 0.85546875, + "learning_rate": 0.0004045, + "loss": 6.5669, + "mean_token_accuracy": 0.12215637862682342, + "num_tokens": 1820835.0, + "step": 810 + }, + { + "entropy": 6.75370192527771, + "epoch": 0.8815575987020011, + "grad_norm": 0.890625, + "learning_rate": 0.00040699999999999997, + "loss": 6.5196, + "mean_token_accuracy": 0.12661589086055755, + "num_tokens": 1831868.0, + "step": 815 + }, + { + "entropy": 6.739461183547974, + "epoch": 0.8869659275283938, + "grad_norm": 0.88671875, + "learning_rate": 0.0004095, + "loss": 6.4906, + "mean_token_accuracy": 0.12791995331645012, + "num_tokens": 1842040.0, + "step": 820 + }, + { + "entropy": 6.805172634124756, + "epoch": 0.8923742563547864, + "grad_norm": 0.77734375, + "learning_rate": 0.000412, + "loss": 6.5726, + "mean_token_accuracy": 0.12422277256846428, + "num_tokens": 1853765.0, + "step": 825 + }, + { + "entropy": 6.756449556350708, + "epoch": 0.897782585181179, + "grad_norm": 0.8125, + "learning_rate": 0.0004145, + "loss": 6.5716, + "mean_token_accuracy": 0.12897725030779839, + "num_tokens": 1866081.0, + "step": 830 + }, + { + "entropy": 6.707052612304688, + "epoch": 0.9031909140075717, + "grad_norm": 0.921875, + "learning_rate": 0.000417, + "loss": 6.469, + "mean_token_accuracy": 0.1314797580242157, + "num_tokens": 1876754.0, + "step": 835 + }, + { + "entropy": 6.833410263061523, + "epoch": 0.9085992428339643, + "grad_norm": 0.828125, + "learning_rate": 0.0004195, + "loss": 6.5774, + "mean_token_accuracy": 0.1273835837841034, + "num_tokens": 1888299.0, + "step": 840 + }, + { + "entropy": 6.547404336929321, + "epoch": 0.914007571660357, + "grad_norm": 0.9296875, + "learning_rate": 0.000422, + "loss": 6.3498, + "mean_token_accuracy": 0.13612620383501053, + "num_tokens": 1899027.0, + "step": 845 + }, + { + "entropy": 6.767558288574219, + "epoch": 0.9194159004867496, + "grad_norm": 0.81640625, + "learning_rate": 0.0004245, + "loss": 6.4976, + "mean_token_accuracy": 0.12598962038755418, + "num_tokens": 1911043.0, + "step": 850 + }, + { + "entropy": 6.700322914123535, + "epoch": 0.9248242293131422, + "grad_norm": 0.875, + "learning_rate": 0.000427, + "loss": 6.4153, + "mean_token_accuracy": 0.12619624137878419, + "num_tokens": 1921295.0, + "step": 855 + }, + { + "entropy": 6.681533527374268, + "epoch": 0.9302325581395349, + "grad_norm": 0.87109375, + "learning_rate": 0.0004295, + "loss": 6.5112, + "mean_token_accuracy": 0.12896694540977477, + "num_tokens": 1932944.0, + "step": 860 + }, + { + "entropy": 6.636178922653198, + "epoch": 0.9356408869659275, + "grad_norm": 0.84375, + "learning_rate": 0.000432, + "loss": 6.4548, + "mean_token_accuracy": 0.12324619740247726, + "num_tokens": 1944072.0, + "step": 865 + }, + { + "entropy": 6.706494665145874, + "epoch": 0.9410492157923201, + "grad_norm": 0.90234375, + "learning_rate": 0.0004345, + "loss": 6.4454, + "mean_token_accuracy": 0.13123676255345346, + "num_tokens": 1954798.0, + "step": 870 + }, + { + "entropy": 6.63202395439148, + "epoch": 0.9464575446187128, + "grad_norm": 0.8359375, + "learning_rate": 0.000437, + "loss": 6.4004, + "mean_token_accuracy": 0.13771043270826339, + "num_tokens": 1965304.0, + "step": 875 + }, + { + "entropy": 6.687908601760864, + "epoch": 0.9518658734451054, + "grad_norm": 0.9140625, + "learning_rate": 0.0004395, + "loss": 6.4533, + "mean_token_accuracy": 0.12809950411319732, + "num_tokens": 1976797.0, + "step": 880 + }, + { + "entropy": 6.68499231338501, + "epoch": 0.9572742022714981, + "grad_norm": 0.765625, + "learning_rate": 0.000442, + "loss": 6.465, + "mean_token_accuracy": 0.13124867752194405, + "num_tokens": 1987448.0, + "step": 885 + }, + { + "entropy": 6.453022909164429, + "epoch": 0.9626825310978907, + "grad_norm": 0.79296875, + "learning_rate": 0.0004445, + "loss": 6.3035, + "mean_token_accuracy": 0.12852491885423661, + "num_tokens": 2000948.0, + "step": 890 + }, + { + "entropy": 6.707898950576782, + "epoch": 0.9680908599242833, + "grad_norm": 0.8984375, + "learning_rate": 0.000447, + "loss": 6.4053, + "mean_token_accuracy": 0.13699749186635019, + "num_tokens": 2011807.0, + "step": 895 + }, + { + "entropy": 6.635624694824219, + "epoch": 0.9734991887506761, + "grad_norm": 0.890625, + "learning_rate": 0.00044950000000000003, + "loss": 6.485, + "mean_token_accuracy": 0.12594227939844133, + "num_tokens": 2022835.0, + "step": 900 + }, + { + "entropy": 6.493094444274902, + "epoch": 0.9789075175770687, + "grad_norm": 0.796875, + "learning_rate": 0.00045200000000000004, + "loss": 6.3887, + "mean_token_accuracy": 0.13212062120437623, + "num_tokens": 2034331.0, + "step": 905 + }, + { + "entropy": 6.793362283706665, + "epoch": 0.9843158464034614, + "grad_norm": 0.890625, + "learning_rate": 0.00045450000000000004, + "loss": 6.4011, + "mean_token_accuracy": 0.12509146854281425, + "num_tokens": 2047002.0, + "step": 910 + }, + { + "entropy": 6.472154426574707, + "epoch": 0.989724175229854, + "grad_norm": 0.91796875, + "learning_rate": 0.00045700000000000005, + "loss": 6.3309, + "mean_token_accuracy": 0.13486048579216003, + "num_tokens": 2056299.0, + "step": 915 + }, + { + "entropy": 6.6369061946868895, + "epoch": 0.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.00045950000000000006, + "loss": 6.4731, + "mean_token_accuracy": 0.12534581273794174, + "num_tokens": 2068031.0, + "step": 920 + }, + { + "entropy": 6.65595801671346, + "epoch": 1.0, + "grad_norm": 1.5859375, + "learning_rate": 0.000462, + "loss": 6.3882, + "mean_token_accuracy": 0.13124301036198935, + "num_tokens": 2076889.0, + "step": 925 + }, + { + "entropy": 6.586441087722778, + "epoch": 1.0054083288263926, + "grad_norm": 0.890625, + "learning_rate": 0.0004645, + "loss": 6.2891, + "mean_token_accuracy": 0.13704440146684646, + "num_tokens": 2087316.0, + "step": 930 + }, + { + "entropy": 6.637719631195068, + "epoch": 1.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.000467, + "loss": 6.3095, + "mean_token_accuracy": 0.12899292260408401, + "num_tokens": 2098522.0, + "step": 935 + }, + { + "entropy": 6.479368448257446, + "epoch": 1.016224986479178, + "grad_norm": 0.99609375, + "learning_rate": 0.0004695, + "loss": 6.2677, + "mean_token_accuracy": 0.13769578710198402, + "num_tokens": 2110015.0, + "step": 940 + }, + { + "entropy": 6.62018051147461, + "epoch": 1.0216333153055706, + "grad_norm": 0.8828125, + "learning_rate": 0.000472, + "loss": 6.3805, + "mean_token_accuracy": 0.1309829458594322, + "num_tokens": 2121333.0, + "step": 945 + }, + { + "entropy": 6.606573867797851, + "epoch": 1.0270416441319632, + "grad_norm": 0.83203125, + "learning_rate": 0.0004745, + "loss": 6.2564, + "mean_token_accuracy": 0.14038568511605262, + "num_tokens": 2131385.0, + "step": 950 + }, + { + "entropy": 6.51173095703125, + "epoch": 1.0324499729583558, + "grad_norm": 0.83984375, + "learning_rate": 0.000477, + "loss": 6.3255, + "mean_token_accuracy": 0.13718775436282157, + "num_tokens": 2143274.0, + "step": 955 + }, + { + "entropy": 6.524426651000977, + "epoch": 1.0378583017847485, + "grad_norm": 0.83203125, + "learning_rate": 0.0004795, + "loss": 6.1832, + "mean_token_accuracy": 0.14308830797672273, + "num_tokens": 2154529.0, + "step": 960 + }, + { + "entropy": 6.507630968093872, + "epoch": 1.043266630611141, + "grad_norm": 0.81640625, + "learning_rate": 0.000482, + "loss": 6.3404, + "mean_token_accuracy": 0.13590393140912055, + "num_tokens": 2165949.0, + "step": 965 + }, + { + "entropy": 6.510678100585937, + "epoch": 1.0486749594375337, + "grad_norm": 0.8671875, + "learning_rate": 0.0004845, + "loss": 6.301, + "mean_token_accuracy": 0.13782548978924752, + "num_tokens": 2176710.0, + "step": 970 + }, + { + "entropy": 6.57047290802002, + "epoch": 1.0540832882639264, + "grad_norm": 0.89453125, + "learning_rate": 0.000487, + "loss": 6.3054, + "mean_token_accuracy": 0.1405063934624195, + "num_tokens": 2189470.0, + "step": 975 + }, + { + "entropy": 6.468301725387573, + "epoch": 1.059491617090319, + "grad_norm": 0.83203125, + "learning_rate": 0.0004895, + "loss": 6.2417, + "mean_token_accuracy": 0.1447782188653946, + "num_tokens": 2200266.0, + "step": 980 + }, + { + "entropy": 6.555663108825684, + "epoch": 1.0648999459167117, + "grad_norm": 0.92578125, + "learning_rate": 0.000492, + "loss": 6.2552, + "mean_token_accuracy": 0.13506530076265336, + "num_tokens": 2210736.0, + "step": 985 + }, + { + "entropy": 6.565949821472168, + "epoch": 1.0703082747431043, + "grad_norm": 0.8828125, + "learning_rate": 0.0004945, + "loss": 6.3632, + "mean_token_accuracy": 0.13319521099328996, + "num_tokens": 2221057.0, + "step": 990 + }, + { + "entropy": 6.469114494323731, + "epoch": 1.075716603569497, + "grad_norm": 0.9140625, + "learning_rate": 0.000497, + "loss": 6.3534, + "mean_token_accuracy": 0.13533424213528633, + "num_tokens": 2232352.0, + "step": 995 + }, + { + "entropy": 6.635223293304444, + "epoch": 1.0811249323958896, + "grad_norm": 0.7890625, + "learning_rate": 0.0004995, + "loss": 6.2648, + "mean_token_accuracy": 0.14019849002361298, + "num_tokens": 2244655.0, + "step": 1000 + }, + { + "epoch": 1.0811249323958896, + "eval_entropy": 6.261687904054468, + "eval_loss": 6.522247314453125, + "eval_mean_token_accuracy": 0.13498601920225403, + "eval_num_tokens": 2244655.0, + "eval_runtime": 3.5336, + "eval_samples_per_second": 994.742, + "eval_steps_per_second": 124.52, + "step": 1000 + }, + { + "entropy": 6.392566728591919, + "epoch": 1.0865332612222822, + "grad_norm": 0.9375, + "learning_rate": 0.0004999997383518051, + "loss": 6.2215, + "mean_token_accuracy": 0.14575545713305474, + "num_tokens": 2255699.0, + "step": 1005 + }, + { + "entropy": 6.515384817123413, + "epoch": 1.0919415900486749, + "grad_norm": 0.96484375, + "learning_rate": 0.0004999986754070562, + "loss": 6.215, + "mean_token_accuracy": 0.14548230916261673, + "num_tokens": 2266627.0, + "step": 1010 + }, + { + "entropy": 6.574292850494385, + "epoch": 1.0973499188750675, + "grad_norm": 1.0234375, + "learning_rate": 0.0004999967948166009, + "loss": 6.3975, + "mean_token_accuracy": 0.13272227719426155, + "num_tokens": 2277814.0, + "step": 1015 + }, + { + "entropy": 6.601232385635376, + "epoch": 1.1027582477014604, + "grad_norm": 0.953125, + "learning_rate": 0.0004999940965872734, + "loss": 6.3337, + "mean_token_accuracy": 0.13475676402449607, + "num_tokens": 2287344.0, + "step": 1020 + }, + { + "entropy": 6.318281745910644, + "epoch": 1.1081665765278528, + "grad_norm": 0.89453125, + "learning_rate": 0.0004999905807288788, + "loss": 6.1409, + "mean_token_accuracy": 0.1440238431096077, + "num_tokens": 2298332.0, + "step": 1025 + }, + { + "entropy": 6.4605019092559814, + "epoch": 1.1135749053542456, + "grad_norm": 0.9140625, + "learning_rate": 0.000499986247254194, + "loss": 6.2482, + "mean_token_accuracy": 0.13886248245835303, + "num_tokens": 2309161.0, + "step": 1030 + }, + { + "entropy": 6.49772047996521, + "epoch": 1.1189832341806383, + "grad_norm": 0.9765625, + "learning_rate": 0.0004999810961789667, + "loss": 6.2395, + "mean_token_accuracy": 0.14152603298425676, + "num_tokens": 2319516.0, + "step": 1035 + }, + { + "entropy": 6.387350988388062, + "epoch": 1.124391563007031, + "grad_norm": 0.77734375, + "learning_rate": 0.000499975127521916, + "loss": 6.1364, + "mean_token_accuracy": 0.14436752647161483, + "num_tokens": 2330441.0, + "step": 1040 + }, + { + "entropy": 6.414741897583008, + "epoch": 1.1297998918334236, + "grad_norm": 0.90234375, + "learning_rate": 0.0004999683413047319, + "loss": 6.1448, + "mean_token_accuracy": 0.14739955514669417, + "num_tokens": 2340524.0, + "step": 1045 + }, + { + "entropy": 6.413249206542969, + "epoch": 1.1352082206598162, + "grad_norm": 0.77734375, + "learning_rate": 0.0004999607375520759, + "loss": 6.1574, + "mean_token_accuracy": 0.1391792982816696, + "num_tokens": 2353379.0, + "step": 1050 + }, + { + "entropy": 6.415913724899292, + "epoch": 1.1406165494862088, + "grad_norm": 0.84375, + "learning_rate": 0.0004999523162915794, + "loss": 6.3375, + "mean_token_accuracy": 0.13021384850144385, + "num_tokens": 2365708.0, + "step": 1055 + }, + { + "entropy": 6.4221429347991945, + "epoch": 1.1460248783126015, + "grad_norm": 0.91015625, + "learning_rate": 0.0004999430775538459, + "loss": 6.2353, + "mean_token_accuracy": 0.14104826971888543, + "num_tokens": 2375630.0, + "step": 1060 + }, + { + "entropy": 6.410649967193604, + "epoch": 1.151433207138994, + "grad_norm": 0.91796875, + "learning_rate": 0.0004999330213724487, + "loss": 6.2265, + "mean_token_accuracy": 0.13970739394426346, + "num_tokens": 2386885.0, + "step": 1065 + }, + { + "entropy": 6.3925048351287845, + "epoch": 1.1568415359653867, + "grad_norm": 0.87890625, + "learning_rate": 0.0004999221477839319, + "loss": 6.2582, + "mean_token_accuracy": 0.14038242176175117, + "num_tokens": 2397676.0, + "step": 1070 + }, + { + "entropy": 6.471703100204468, + "epoch": 1.1622498647917794, + "grad_norm": 0.828125, + "learning_rate": 0.0004999104568278104, + "loss": 6.2718, + "mean_token_accuracy": 0.13743244409561156, + "num_tokens": 2409039.0, + "step": 1075 + }, + { + "entropy": 6.462762975692749, + "epoch": 1.167658193618172, + "grad_norm": 0.86328125, + "learning_rate": 0.000499897948546569, + "loss": 6.3006, + "mean_token_accuracy": 0.13881117701530457, + "num_tokens": 2420103.0, + "step": 1080 + }, + { + "entropy": 6.446409559249878, + "epoch": 1.1730665224445647, + "grad_norm": 0.75390625, + "learning_rate": 0.0004998846229856629, + "loss": 6.2219, + "mean_token_accuracy": 0.14210361912846564, + "num_tokens": 2430792.0, + "step": 1085 + }, + { + "entropy": 6.448412847518921, + "epoch": 1.1784748512709573, + "grad_norm": 0.828125, + "learning_rate": 0.0004998704801935171, + "loss": 6.2317, + "mean_token_accuracy": 0.1363034226000309, + "num_tokens": 2442165.0, + "step": 1090 + }, + { + "entropy": 6.411017274856567, + "epoch": 1.18388318009735, + "grad_norm": 0.87109375, + "learning_rate": 0.0004998555202215267, + "loss": 6.1392, + "mean_token_accuracy": 0.14295777827501296, + "num_tokens": 2454231.0, + "step": 1095 + }, + { + "entropy": 6.395845222473144, + "epoch": 1.1892915089237426, + "grad_norm": 0.921875, + "learning_rate": 0.0004998397431240561, + "loss": 6.1973, + "mean_token_accuracy": 0.14889837354421614, + "num_tokens": 2464828.0, + "step": 1100 + }, + { + "entropy": 6.362335443496704, + "epoch": 1.1946998377501352, + "grad_norm": 0.8203125, + "learning_rate": 0.0004998231489584395, + "loss": 6.247, + "mean_token_accuracy": 0.13055480644106865, + "num_tokens": 2476144.0, + "step": 1105 + }, + { + "entropy": 6.556964492797851, + "epoch": 1.2001081665765279, + "grad_norm": 0.7890625, + "learning_rate": 0.00049980573778498, + "loss": 6.4243, + "mean_token_accuracy": 0.13321975469589234, + "num_tokens": 2489116.0, + "step": 1110 + }, + { + "entropy": 6.495721340179443, + "epoch": 1.2055164954029205, + "grad_norm": 0.7421875, + "learning_rate": 0.0004997875096669498, + "loss": 6.2709, + "mean_token_accuracy": 0.1425547793507576, + "num_tokens": 2501609.0, + "step": 1115 + }, + { + "entropy": 6.316252708435059, + "epoch": 1.2109248242293131, + "grad_norm": 0.7578125, + "learning_rate": 0.0004997684646705901, + "loss": 6.1623, + "mean_token_accuracy": 0.14786348417401313, + "num_tokens": 2513338.0, + "step": 1120 + }, + { + "entropy": 6.502756214141845, + "epoch": 1.2163331530557058, + "grad_norm": 0.875, + "learning_rate": 0.0004997486028651103, + "loss": 6.1935, + "mean_token_accuracy": 0.14928646236658097, + "num_tokens": 2523199.0, + "step": 1125 + }, + { + "entropy": 6.430925273895264, + "epoch": 1.2217414818820984, + "grad_norm": 0.875, + "learning_rate": 0.0004997279243226884, + "loss": 6.2268, + "mean_token_accuracy": 0.13952379450201988, + "num_tokens": 2535136.0, + "step": 1130 + }, + { + "entropy": 6.347667121887207, + "epoch": 1.227149810708491, + "grad_norm": 0.875, + "learning_rate": 0.0004997064291184701, + "loss": 6.1183, + "mean_token_accuracy": 0.1378582313656807, + "num_tokens": 2546428.0, + "step": 1135 + }, + { + "entropy": 6.522240066528321, + "epoch": 1.2325581395348837, + "grad_norm": 0.8046875, + "learning_rate": 0.0004996841173305691, + "loss": 6.2987, + "mean_token_accuracy": 0.13986383080482484, + "num_tokens": 2558304.0, + "step": 1140 + }, + { + "entropy": 6.215605926513672, + "epoch": 1.2379664683612763, + "grad_norm": 0.84375, + "learning_rate": 0.0004996609890400665, + "loss": 5.9978, + "mean_token_accuracy": 0.14998608231544494, + "num_tokens": 2568717.0, + "step": 1145 + }, + { + "entropy": 6.445933389663696, + "epoch": 1.243374797187669, + "grad_norm": 0.9140625, + "learning_rate": 0.0004996370443310107, + "loss": 6.2162, + "mean_token_accuracy": 0.13953494057059287, + "num_tokens": 2578748.0, + "step": 1150 + }, + { + "entropy": 6.396315002441407, + "epoch": 1.2487831260140616, + "grad_norm": 0.7734375, + "learning_rate": 0.0004996122832904165, + "loss": 6.1849, + "mean_token_accuracy": 0.1391325779259205, + "num_tokens": 2590095.0, + "step": 1155 + }, + { + "entropy": 6.419918870925903, + "epoch": 1.2541914548404542, + "grad_norm": 0.95703125, + "learning_rate": 0.0004995867060082658, + "loss": 6.2344, + "mean_token_accuracy": 0.14044754207134247, + "num_tokens": 2600929.0, + "step": 1160 + }, + { + "entropy": 6.391916799545288, + "epoch": 1.2595997836668469, + "grad_norm": 0.80078125, + "learning_rate": 0.0004995603125775065, + "loss": 6.2334, + "mean_token_accuracy": 0.14248308837413787, + "num_tokens": 2611830.0, + "step": 1165 + }, + { + "entropy": 6.340531587600708, + "epoch": 1.2650081124932395, + "grad_norm": 0.859375, + "learning_rate": 0.0004995331030940523, + "loss": 6.1622, + "mean_token_accuracy": 0.14207693040370942, + "num_tokens": 2623177.0, + "step": 1170 + }, + { + "entropy": 6.31855001449585, + "epoch": 1.2704164413196322, + "grad_norm": 0.90234375, + "learning_rate": 0.0004995050776567826, + "loss": 6.1629, + "mean_token_accuracy": 0.14008935093879699, + "num_tokens": 2635563.0, + "step": 1175 + }, + { + "entropy": 6.418999481201172, + "epoch": 1.2758247701460248, + "grad_norm": 0.765625, + "learning_rate": 0.0004994762363675421, + "loss": 6.1535, + "mean_token_accuracy": 0.15044649839401245, + "num_tokens": 2647157.0, + "step": 1180 + }, + { + "entropy": 6.273387622833252, + "epoch": 1.2812330989724177, + "grad_norm": 0.91796875, + "learning_rate": 0.0004994465793311396, + "loss": 6.1151, + "mean_token_accuracy": 0.15164786130189895, + "num_tokens": 2658175.0, + "step": 1185 + }, + { + "entropy": 6.34501576423645, + "epoch": 1.28664142779881, + "grad_norm": 0.828125, + "learning_rate": 0.0004994161066553493, + "loss": 6.0843, + "mean_token_accuracy": 0.1456107623875141, + "num_tokens": 2669458.0, + "step": 1190 + }, + { + "entropy": 6.4375499248504635, + "epoch": 1.292049756625203, + "grad_norm": 1.046875, + "learning_rate": 0.0004993848184509086, + "loss": 6.2834, + "mean_token_accuracy": 0.14490200877189635, + "num_tokens": 2679727.0, + "step": 1195 + }, + { + "entropy": 6.378272485733032, + "epoch": 1.2974580854515954, + "grad_norm": 0.84375, + "learning_rate": 0.0004993527148315193, + "loss": 6.2372, + "mean_token_accuracy": 0.1412258230149746, + "num_tokens": 2691031.0, + "step": 1200 + }, + { + "entropy": 6.2971197128295895, + "epoch": 1.3028664142779882, + "grad_norm": 0.8125, + "learning_rate": 0.0004993197959138458, + "loss": 6.0328, + "mean_token_accuracy": 0.15455402433872223, + "num_tokens": 2701699.0, + "step": 1205 + }, + { + "entropy": 6.32627272605896, + "epoch": 1.3082747431043806, + "grad_norm": 0.77734375, + "learning_rate": 0.0004992860618175156, + "loss": 6.0922, + "mean_token_accuracy": 0.14536757618188859, + "num_tokens": 2713038.0, + "step": 1210 + }, + { + "entropy": 6.282141542434692, + "epoch": 1.3136830719307735, + "grad_norm": 0.80078125, + "learning_rate": 0.0004992515126651184, + "loss": 6.095, + "mean_token_accuracy": 0.144093357026577, + "num_tokens": 2723685.0, + "step": 1215 + }, + { + "entropy": 6.338719892501831, + "epoch": 1.319091400757166, + "grad_norm": 0.86328125, + "learning_rate": 0.0004992161485822059, + "loss": 6.1619, + "mean_token_accuracy": 0.14463287889957427, + "num_tokens": 2735341.0, + "step": 1220 + }, + { + "entropy": 6.319677209854126, + "epoch": 1.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004991799696972913, + "loss": 6.0942, + "mean_token_accuracy": 0.15070197135210037, + "num_tokens": 2746052.0, + "step": 1225 + }, + { + "entropy": 6.301837205886841, + "epoch": 1.3299080584099512, + "grad_norm": 0.859375, + "learning_rate": 0.0004991429761418488, + "loss": 6.0911, + "mean_token_accuracy": 0.14471486508846282, + "num_tokens": 2757155.0, + "step": 1230 + }, + { + "entropy": 6.300720977783203, + "epoch": 1.335316387236344, + "grad_norm": 0.953125, + "learning_rate": 0.000499105168050313, + "loss": 6.1586, + "mean_token_accuracy": 0.14146095067262648, + "num_tokens": 2769631.0, + "step": 1235 + }, + { + "entropy": 6.46447868347168, + "epoch": 1.3407247160627367, + "grad_norm": 0.94921875, + "learning_rate": 0.0004990665455600787, + "loss": 6.2484, + "mean_token_accuracy": 0.1465391218662262, + "num_tokens": 2780797.0, + "step": 1240 + }, + { + "entropy": 6.2404039859771725, + "epoch": 1.3461330448891293, + "grad_norm": 0.8359375, + "learning_rate": 0.0004990271088114999, + "loss": 6.0971, + "mean_token_accuracy": 0.1423661321401596, + "num_tokens": 2792721.0, + "step": 1245 + }, + { + "entropy": 6.312399816513062, + "epoch": 1.351541373715522, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989868579478901, + "loss": 6.1613, + "mean_token_accuracy": 0.15470626205205917, + "num_tokens": 2804531.0, + "step": 1250 + }, + { + "entropy": 6.421265363693237, + "epoch": 1.3569497025419146, + "grad_norm": 0.83203125, + "learning_rate": 0.0004989457931155209, + "loss": 6.1487, + "mean_token_accuracy": 0.1429950214922428, + "num_tokens": 2816666.0, + "step": 1255 + }, + { + "entropy": 6.304442501068115, + "epoch": 1.3623580313683072, + "grad_norm": 0.8203125, + "learning_rate": 0.0004989039144636219, + "loss": 6.1735, + "mean_token_accuracy": 0.151274611055851, + "num_tokens": 2827977.0, + "step": 1260 + }, + { + "entropy": 6.348642826080322, + "epoch": 1.3677663601946999, + "grad_norm": 0.9296875, + "learning_rate": 0.0004988612221443804, + "loss": 6.1448, + "mean_token_accuracy": 0.1445183590054512, + "num_tokens": 2839069.0, + "step": 1265 + }, + { + "entropy": 6.365104818344117, + "epoch": 1.3731746890210925, + "grad_norm": 0.87890625, + "learning_rate": 0.0004988177163129403, + "loss": 6.2275, + "mean_token_accuracy": 0.13933413326740265, + "num_tokens": 2850632.0, + "step": 1270 + }, + { + "entropy": 6.286058044433593, + "epoch": 1.3785830178474852, + "grad_norm": 0.8046875, + "learning_rate": 0.0004987733971274018, + "loss": 6.1057, + "mean_token_accuracy": 0.1429712951183319, + "num_tokens": 2862204.0, + "step": 1275 + }, + { + "entropy": 6.296426582336426, + "epoch": 1.3839913466738778, + "grad_norm": 0.90234375, + "learning_rate": 0.0004987282647488211, + "loss": 6.0879, + "mean_token_accuracy": 0.15390856564044952, + "num_tokens": 2874010.0, + "step": 1280 + }, + { + "entropy": 6.331337833404541, + "epoch": 1.3893996755002704, + "grad_norm": 0.953125, + "learning_rate": 0.0004986823193412093, + "loss": 6.1274, + "mean_token_accuracy": 0.15620552152395248, + "num_tokens": 2884315.0, + "step": 1285 + }, + { + "entropy": 6.407461166381836, + "epoch": 1.394808004326663, + "grad_norm": 0.77734375, + "learning_rate": 0.000498635561071532, + "loss": 6.2916, + "mean_token_accuracy": 0.1400587186217308, + "num_tokens": 2896327.0, + "step": 1290 + }, + { + "entropy": 6.271218967437744, + "epoch": 1.4002163331530557, + "grad_norm": 0.8671875, + "learning_rate": 0.000498587990109709, + "loss": 6.0528, + "mean_token_accuracy": 0.14465109407901763, + "num_tokens": 2907007.0, + "step": 1295 + }, + { + "entropy": 6.302019453048706, + "epoch": 1.4056246619794484, + "grad_norm": 0.8203125, + "learning_rate": 0.0004985396066286133, + "loss": 6.1003, + "mean_token_accuracy": 0.1535784885287285, + "num_tokens": 2918852.0, + "step": 1300 + }, + { + "entropy": 6.250105190277099, + "epoch": 1.411032990805841, + "grad_norm": 0.87109375, + "learning_rate": 0.0004984904108040706, + "loss": 6.0081, + "mean_token_accuracy": 0.15070367753505706, + "num_tokens": 2929948.0, + "step": 1305 + }, + { + "entropy": 6.244026756286621, + "epoch": 1.4164413196322336, + "grad_norm": 0.828125, + "learning_rate": 0.0004984404028148585, + "loss": 6.0828, + "mean_token_accuracy": 0.15208643525838852, + "num_tokens": 2941299.0, + "step": 1310 + }, + { + "entropy": 6.181199932098389, + "epoch": 1.4218496484586263, + "grad_norm": 0.91015625, + "learning_rate": 0.0004983895828427062, + "loss": 6.0191, + "mean_token_accuracy": 0.14539152830839158, + "num_tokens": 2952283.0, + "step": 1315 + }, + { + "entropy": 6.554185962677002, + "epoch": 1.427257977285019, + "grad_norm": 1.1328125, + "learning_rate": 0.0004983379510722935, + "loss": 6.3791, + "mean_token_accuracy": 0.1393312931060791, + "num_tokens": 2962241.0, + "step": 1320 + }, + { + "entropy": 6.257846307754517, + "epoch": 1.4326663061114115, + "grad_norm": 0.78125, + "learning_rate": 0.0004982855076912506, + "loss": 6.1338, + "mean_token_accuracy": 0.14794275015592576, + "num_tokens": 2973408.0, + "step": 1325 + }, + { + "entropy": 6.329844570159912, + "epoch": 1.4380746349378042, + "grad_norm": 1.03125, + "learning_rate": 0.0004982322528901568, + "loss": 6.1686, + "mean_token_accuracy": 0.14748868122696876, + "num_tokens": 2985877.0, + "step": 1330 + }, + { + "entropy": 6.380424976348877, + "epoch": 1.4434829637641968, + "grad_norm": 0.78515625, + "learning_rate": 0.00049817818686254, + "loss": 6.1645, + "mean_token_accuracy": 0.1469645656645298, + "num_tokens": 2996935.0, + "step": 1335 + }, + { + "entropy": 6.20194149017334, + "epoch": 1.4488912925905895, + "grad_norm": 0.77734375, + "learning_rate": 0.0004981233098048765, + "loss": 6.044, + "mean_token_accuracy": 0.15571995675563813, + "num_tokens": 3007932.0, + "step": 1340 + }, + { + "entropy": 6.381639242172241, + "epoch": 1.454299621416982, + "grad_norm": 0.79296875, + "learning_rate": 0.0004980676219165894, + "loss": 6.1396, + "mean_token_accuracy": 0.14735481142997742, + "num_tokens": 3019368.0, + "step": 1345 + }, + { + "entropy": 6.361180973052979, + "epoch": 1.4597079502433747, + "grad_norm": 0.80859375, + "learning_rate": 0.000498011123400049, + "loss": 6.1941, + "mean_token_accuracy": 0.1442886658012867, + "num_tokens": 3029787.0, + "step": 1350 + }, + { + "entropy": 6.15062255859375, + "epoch": 1.4651162790697674, + "grad_norm": 0.80859375, + "learning_rate": 0.0004979538144605707, + "loss": 6.1244, + "mean_token_accuracy": 0.1482379414141178, + "num_tokens": 3042100.0, + "step": 1355 + }, + { + "entropy": 6.291181373596191, + "epoch": 1.47052460789616, + "grad_norm": 0.92578125, + "learning_rate": 0.0004978956953064154, + "loss": 6.1695, + "mean_token_accuracy": 0.14743669778108598, + "num_tokens": 3054160.0, + "step": 1360 + }, + { + "entropy": 6.321239900588989, + "epoch": 1.4759329367225527, + "grad_norm": 0.86328125, + "learning_rate": 0.0004978367661487883, + "loss": 6.1274, + "mean_token_accuracy": 0.14769912362098694, + "num_tokens": 3065401.0, + "step": 1365 + }, + { + "entropy": 6.224961471557617, + "epoch": 1.4813412655489453, + "grad_norm": 0.92578125, + "learning_rate": 0.0004977770272018379, + "loss": 6.0394, + "mean_token_accuracy": 0.1538393899798393, + "num_tokens": 3076137.0, + "step": 1370 + }, + { + "entropy": 6.356675624847412, + "epoch": 1.486749594375338, + "grad_norm": 0.82421875, + "learning_rate": 0.000497716478682656, + "loss": 6.1769, + "mean_token_accuracy": 0.15344239473342897, + "num_tokens": 3087274.0, + "step": 1375 + }, + { + "entropy": 6.313038015365601, + "epoch": 1.4921579232017308, + "grad_norm": 0.9453125, + "learning_rate": 0.0004976551208112759, + "loss": 6.0709, + "mean_token_accuracy": 0.14906611144542695, + "num_tokens": 3098476.0, + "step": 1380 + }, + { + "entropy": 6.2663798332214355, + "epoch": 1.4975662520281232, + "grad_norm": 0.875, + "learning_rate": 0.0004975929538106721, + "loss": 6.0968, + "mean_token_accuracy": 0.14780760034918786, + "num_tokens": 3110060.0, + "step": 1385 + }, + { + "entropy": 6.143105459213257, + "epoch": 1.502974580854516, + "grad_norm": 0.87109375, + "learning_rate": 0.0004975299779067598, + "loss": 5.991, + "mean_token_accuracy": 0.1502829059958458, + "num_tokens": 3121032.0, + "step": 1390 + }, + { + "entropy": 6.303813886642456, + "epoch": 1.5083829096809085, + "grad_norm": 0.8359375, + "learning_rate": 0.0004974661933283936, + "loss": 6.0284, + "mean_token_accuracy": 0.1546885773539543, + "num_tokens": 3131999.0, + "step": 1395 + }, + { + "entropy": 6.118764638900757, + "epoch": 1.5137912385073014, + "grad_norm": 0.86328125, + "learning_rate": 0.0004974016003073667, + "loss": 5.9459, + "mean_token_accuracy": 0.15407799631357194, + "num_tokens": 3142693.0, + "step": 1400 + }, + { + "entropy": 6.180855655670166, + "epoch": 1.5191995673336938, + "grad_norm": 0.796875, + "learning_rate": 0.0004973361990784104, + "loss": 5.9153, + "mean_token_accuracy": 0.14824497997760772, + "num_tokens": 3154179.0, + "step": 1405 + }, + { + "entropy": 6.272782230377198, + "epoch": 1.5246078961600866, + "grad_norm": 0.87109375, + "learning_rate": 0.0004972699898791927, + "loss": 6.0198, + "mean_token_accuracy": 0.15759131461381912, + "num_tokens": 3165314.0, + "step": 1410 + }, + { + "entropy": 6.201319456100464, + "epoch": 1.530016224986479, + "grad_norm": 0.734375, + "learning_rate": 0.0004972029729503182, + "loss": 6.1189, + "mean_token_accuracy": 0.15706945806741715, + "num_tokens": 3177646.0, + "step": 1415 + }, + { + "entropy": 6.315565681457519, + "epoch": 1.535424553812872, + "grad_norm": 0.8828125, + "learning_rate": 0.0004971351485353265, + "loss": 6.1126, + "mean_token_accuracy": 0.15531182885169983, + "num_tokens": 3188401.0, + "step": 1420 + }, + { + "entropy": 6.154540348052978, + "epoch": 1.5408328826392643, + "grad_norm": 0.8828125, + "learning_rate": 0.0004970665168806917, + "loss": 5.9911, + "mean_token_accuracy": 0.15018533393740655, + "num_tokens": 3200206.0, + "step": 1425 + }, + { + "entropy": 6.307532501220703, + "epoch": 1.5462412114656572, + "grad_norm": 0.80078125, + "learning_rate": 0.0004969970782358214, + "loss": 6.1091, + "mean_token_accuracy": 0.14888520240783693, + "num_tokens": 3211981.0, + "step": 1430 + }, + { + "entropy": 6.18949179649353, + "epoch": 1.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.0004969268328530557, + "loss": 6.1167, + "mean_token_accuracy": 0.14888323992490768, + "num_tokens": 3221997.0, + "step": 1435 + }, + { + "entropy": 6.322359466552735, + "epoch": 1.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.0004968557809876666, + "loss": 6.0598, + "mean_token_accuracy": 0.14826754182577134, + "num_tokens": 3234333.0, + "step": 1440 + }, + { + "entropy": 6.197854804992676, + "epoch": 1.562466197944835, + "grad_norm": 0.90234375, + "learning_rate": 0.0004967839228978568, + "loss": 6.1046, + "mean_token_accuracy": 0.1452392354607582, + "num_tokens": 3245083.0, + "step": 1445 + }, + { + "entropy": 6.279910755157471, + "epoch": 1.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004967112588447585, + "loss": 5.9312, + "mean_token_accuracy": 0.157687509059906, + "num_tokens": 3255787.0, + "step": 1450 + }, + { + "entropy": 6.1504504680633545, + "epoch": 1.5732828555976204, + "grad_norm": 0.86328125, + "learning_rate": 0.0004966377890924332, + "loss": 6.1119, + "mean_token_accuracy": 0.14946537464857101, + "num_tokens": 3267793.0, + "step": 1455 + }, + { + "entropy": 6.191984701156616, + "epoch": 1.578691184424013, + "grad_norm": 0.859375, + "learning_rate": 0.0004965635139078704, + "loss": 5.982, + "mean_token_accuracy": 0.15891378968954087, + "num_tokens": 3279100.0, + "step": 1460 + }, + { + "entropy": 6.246756458282471, + "epoch": 1.5840995132504057, + "grad_norm": 0.9609375, + "learning_rate": 0.0004964884335609857, + "loss": 6.1383, + "mean_token_accuracy": 0.15445440858602524, + "num_tokens": 3290251.0, + "step": 1465 + }, + { + "entropy": 6.197033500671386, + "epoch": 1.5895078420767983, + "grad_norm": 0.828125, + "learning_rate": 0.0004964125483246218, + "loss": 6.0118, + "mean_token_accuracy": 0.15319959670305253, + "num_tokens": 3301817.0, + "step": 1470 + }, + { + "entropy": 6.270974349975586, + "epoch": 1.594916170903191, + "grad_norm": 0.83984375, + "learning_rate": 0.0004963358584745457, + "loss": 6.0553, + "mean_token_accuracy": 0.15082636773586272, + "num_tokens": 3313435.0, + "step": 1475 + }, + { + "entropy": 6.237086534500122, + "epoch": 1.6003244997295836, + "grad_norm": 0.84375, + "learning_rate": 0.0004962583642894482, + "loss": 6.1823, + "mean_token_accuracy": 0.14484680742025374, + "num_tokens": 3325489.0, + "step": 1480 + }, + { + "entropy": 6.332687664031982, + "epoch": 1.6057328285559762, + "grad_norm": 0.85546875, + "learning_rate": 0.0004961800660509437, + "loss": 6.0399, + "mean_token_accuracy": 0.1546601414680481, + "num_tokens": 3337030.0, + "step": 1485 + }, + { + "entropy": 6.088555431365966, + "epoch": 1.6111411573823688, + "grad_norm": 0.875, + "learning_rate": 0.000496100964043568, + "loss": 6.0114, + "mean_token_accuracy": 0.15409026592969893, + "num_tokens": 3347766.0, + "step": 1490 + }, + { + "entropy": 6.178443479537964, + "epoch": 1.6165494862087615, + "grad_norm": 0.85546875, + "learning_rate": 0.000496021058554778, + "loss": 5.9097, + "mean_token_accuracy": 0.1566903904080391, + "num_tokens": 3360379.0, + "step": 1495 + }, + { + "entropy": 6.149486923217774, + "epoch": 1.6219578150351541, + "grad_norm": 0.81640625, + "learning_rate": 0.0004959403498749505, + "loss": 6.0586, + "mean_token_accuracy": 0.15657030493021012, + "num_tokens": 3370962.0, + "step": 1500 + }, + { + "epoch": 1.6219578150351541, + "eval_entropy": 6.046384253285148, + "eval_loss": 6.249795913696289, + "eval_mean_token_accuracy": 0.15230790820311416, + "eval_num_tokens": 3370962.0, + "eval_runtime": 3.5261, + "eval_samples_per_second": 996.847, + "eval_steps_per_second": 124.783, + "step": 1500 + }, + { + "entropy": 6.240487289428711, + "epoch": 1.6273661438615468, + "grad_norm": 0.7734375, + "learning_rate": 0.0004958588382973809, + "loss": 5.9793, + "mean_token_accuracy": 0.1554610624909401, + "num_tokens": 3382648.0, + "step": 1505 + }, + { + "entropy": 6.16507658958435, + "epoch": 1.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.0004957765241182826, + "loss": 6.0378, + "mean_token_accuracy": 0.15304033160209657, + "num_tokens": 3393871.0, + "step": 1510 + }, + { + "entropy": 6.113471508026123, + "epoch": 1.638182801514332, + "grad_norm": 0.80078125, + "learning_rate": 0.0004956934076367854, + "loss": 5.9194, + "mean_token_accuracy": 0.15826143324375153, + "num_tokens": 3405148.0, + "step": 1515 + }, + { + "entropy": 6.1743358135223385, + "epoch": 1.6435911303407247, + "grad_norm": 0.8671875, + "learning_rate": 0.000495609489154935, + "loss": 5.9637, + "mean_token_accuracy": 0.16070945411920548, + "num_tokens": 3416647.0, + "step": 1520 + }, + { + "entropy": 6.237698650360107, + "epoch": 1.6489994591671173, + "grad_norm": 0.8203125, + "learning_rate": 0.0004955247689776911, + "loss": 6.0604, + "mean_token_accuracy": 0.1475292205810547, + "num_tokens": 3428331.0, + "step": 1525 + }, + { + "entropy": 6.06461238861084, + "epoch": 1.65440778799351, + "grad_norm": 0.875, + "learning_rate": 0.000495439247412927, + "loss": 5.9116, + "mean_token_accuracy": 0.15969590619206428, + "num_tokens": 3440683.0, + "step": 1530 + }, + { + "entropy": 6.163879871368408, + "epoch": 1.6598161168199026, + "grad_norm": 0.765625, + "learning_rate": 0.0004953529247714285, + "loss": 5.9067, + "mean_token_accuracy": 0.15767832696437836, + "num_tokens": 3452375.0, + "step": 1535 + }, + { + "entropy": 6.1659508228302, + "epoch": 1.6652244456462952, + "grad_norm": 0.78125, + "learning_rate": 0.0004952658013668922, + "loss": 6.0629, + "mean_token_accuracy": 0.14571874141693114, + "num_tokens": 3463255.0, + "step": 1540 + }, + { + "entropy": 6.228959417343139, + "epoch": 1.670632774472688, + "grad_norm": 0.8203125, + "learning_rate": 0.0004951778775159246, + "loss": 6.0125, + "mean_token_accuracy": 0.15071145743131636, + "num_tokens": 3473642.0, + "step": 1545 + }, + { + "entropy": 6.167908191680908, + "epoch": 1.6760411032990805, + "grad_norm": 0.859375, + "learning_rate": 0.0004950891535380414, + "loss": 5.9723, + "mean_token_accuracy": 0.15263262540102004, + "num_tokens": 3484877.0, + "step": 1550 + }, + { + "entropy": 6.128119039535522, + "epoch": 1.6814494321254734, + "grad_norm": 0.87109375, + "learning_rate": 0.0004949996297556656, + "loss": 5.8839, + "mean_token_accuracy": 0.16038721650838852, + "num_tokens": 3495500.0, + "step": 1555 + }, + { + "entropy": 6.181710481643677, + "epoch": 1.6868577609518658, + "grad_norm": 0.8515625, + "learning_rate": 0.0004949093064941268, + "loss": 6.0093, + "mean_token_accuracy": 0.1580350860953331, + "num_tokens": 3508057.0, + "step": 1560 + }, + { + "entropy": 6.178483009338379, + "epoch": 1.6922660897782587, + "grad_norm": 0.828125, + "learning_rate": 0.0004948181840816601, + "loss": 6.1681, + "mean_token_accuracy": 0.1513574853539467, + "num_tokens": 3521110.0, + "step": 1565 + }, + { + "entropy": 6.245854187011719, + "epoch": 1.697674418604651, + "grad_norm": 0.921875, + "learning_rate": 0.0004947262628494045, + "loss": 6.0903, + "mean_token_accuracy": 0.1530960515141487, + "num_tokens": 3530692.0, + "step": 1570 + }, + { + "entropy": 6.209924554824829, + "epoch": 1.703082747431044, + "grad_norm": 0.80859375, + "learning_rate": 0.0004946335431314018, + "loss": 6.0352, + "mean_token_accuracy": 0.1460341766476631, + "num_tokens": 3542195.0, + "step": 1575 + }, + { + "entropy": 6.230369758605957, + "epoch": 1.7084910762574363, + "grad_norm": 0.87890625, + "learning_rate": 0.0004945400252645959, + "loss": 5.935, + "mean_token_accuracy": 0.15976211726665496, + "num_tokens": 3552676.0, + "step": 1580 + }, + { + "entropy": 6.089649963378906, + "epoch": 1.7138994050838292, + "grad_norm": 0.890625, + "learning_rate": 0.0004944457095888308, + "loss": 5.8993, + "mean_token_accuracy": 0.155808487534523, + "num_tokens": 3563308.0, + "step": 1585 + }, + { + "entropy": 6.155344152450562, + "epoch": 1.7193077339102216, + "grad_norm": 0.94140625, + "learning_rate": 0.00049435059644685, + "loss": 5.9277, + "mean_token_accuracy": 0.16010808050632477, + "num_tokens": 3574085.0, + "step": 1590 + }, + { + "entropy": 6.163233900070191, + "epoch": 1.7247160627366145, + "grad_norm": 0.9296875, + "learning_rate": 0.0004942546861842947, + "loss": 5.9989, + "mean_token_accuracy": 0.15085040628910065, + "num_tokens": 3585816.0, + "step": 1595 + }, + { + "entropy": 6.170480680465698, + "epoch": 1.730124391563007, + "grad_norm": 0.93359375, + "learning_rate": 0.0004941579791497032, + "loss": 6.0483, + "mean_token_accuracy": 0.15046859830617904, + "num_tokens": 3597776.0, + "step": 1600 + }, + { + "entropy": 6.253198623657227, + "epoch": 1.7355327203893998, + "grad_norm": 0.8984375, + "learning_rate": 0.0004940604756945091, + "loss": 6.0541, + "mean_token_accuracy": 0.1547902449965477, + "num_tokens": 3607991.0, + "step": 1605 + }, + { + "entropy": 6.138210487365723, + "epoch": 1.7409410492157922, + "grad_norm": 0.94140625, + "learning_rate": 0.0004939621761730399, + "loss": 5.9398, + "mean_token_accuracy": 0.16401894092559816, + "num_tokens": 3618204.0, + "step": 1610 + }, + { + "entropy": 6.10772967338562, + "epoch": 1.746349378042185, + "grad_norm": 0.90234375, + "learning_rate": 0.0004938630809425166, + "loss": 6.0458, + "mean_token_accuracy": 0.15313471108675003, + "num_tokens": 3629558.0, + "step": 1615 + }, + { + "entropy": 6.200343942642212, + "epoch": 1.7517577068685775, + "grad_norm": 0.8046875, + "learning_rate": 0.0004937631903630513, + "loss": 5.9972, + "mean_token_accuracy": 0.1569698140025139, + "num_tokens": 3640773.0, + "step": 1620 + }, + { + "entropy": 6.135195684432984, + "epoch": 1.7571660356949703, + "grad_norm": 0.70703125, + "learning_rate": 0.0004936625047976468, + "loss": 5.902, + "mean_token_accuracy": 0.1601807177066803, + "num_tokens": 3652186.0, + "step": 1625 + }, + { + "entropy": 6.117422199249267, + "epoch": 1.7625743645213627, + "grad_norm": 0.84375, + "learning_rate": 0.0004935610246121944, + "loss": 5.9641, + "mean_token_accuracy": 0.16303962767124175, + "num_tokens": 3663068.0, + "step": 1630 + }, + { + "entropy": 6.162671804428101, + "epoch": 1.7679826933477556, + "grad_norm": 0.859375, + "learning_rate": 0.0004934587501754736, + "loss": 6.1034, + "mean_token_accuracy": 0.14989171624183656, + "num_tokens": 3673803.0, + "step": 1635 + }, + { + "entropy": 6.316601324081421, + "epoch": 1.7733910221741482, + "grad_norm": 0.875, + "learning_rate": 0.0004933556818591498, + "loss": 6.0672, + "mean_token_accuracy": 0.1504330776631832, + "num_tokens": 3685482.0, + "step": 1640 + }, + { + "entropy": 6.123309183120727, + "epoch": 1.7787993510005409, + "grad_norm": 0.76953125, + "learning_rate": 0.0004932518200377736, + "loss": 5.9284, + "mean_token_accuracy": 0.1638890653848648, + "num_tokens": 3697641.0, + "step": 1645 + }, + { + "entropy": 6.133664608001709, + "epoch": 1.7842076798269335, + "grad_norm": 0.91015625, + "learning_rate": 0.0004931471650887789, + "loss": 5.9427, + "mean_token_accuracy": 0.15842915028333665, + "num_tokens": 3709560.0, + "step": 1650 + }, + { + "entropy": 6.200141048431396, + "epoch": 1.7896160086533262, + "grad_norm": 0.8671875, + "learning_rate": 0.0004930417173924822, + "loss": 6.0434, + "mean_token_accuracy": 0.149042746424675, + "num_tokens": 3720422.0, + "step": 1655 + }, + { + "entropy": 6.0688094139099125, + "epoch": 1.7950243374797188, + "grad_norm": 0.83203125, + "learning_rate": 0.0004929354773320806, + "loss": 5.8772, + "mean_token_accuracy": 0.1585821643471718, + "num_tokens": 3731104.0, + "step": 1660 + }, + { + "entropy": 6.127728843688965, + "epoch": 1.8004326663061114, + "grad_norm": 0.84765625, + "learning_rate": 0.0004928284452936506, + "loss": 6.0515, + "mean_token_accuracy": 0.14892184734344482, + "num_tokens": 3742766.0, + "step": 1665 + }, + { + "entropy": 6.21225938796997, + "epoch": 1.805840995132504, + "grad_norm": 0.83984375, + "learning_rate": 0.0004927206216661473, + "loss": 5.9295, + "mean_token_accuracy": 0.1595839112997055, + "num_tokens": 3753064.0, + "step": 1670 + }, + { + "entropy": 6.09962568283081, + "epoch": 1.8112493239588967, + "grad_norm": 0.8984375, + "learning_rate": 0.0004926120068414015, + "loss": 5.973, + "mean_token_accuracy": 0.1538739800453186, + "num_tokens": 3765183.0, + "step": 1675 + }, + { + "entropy": 6.164170360565185, + "epoch": 1.8166576527852893, + "grad_norm": 0.8125, + "learning_rate": 0.0004925026012141201, + "loss": 5.9579, + "mean_token_accuracy": 0.1512836143374443, + "num_tokens": 3777902.0, + "step": 1680 + }, + { + "entropy": 6.080730342864991, + "epoch": 1.822065981611682, + "grad_norm": 0.8203125, + "learning_rate": 0.0004923924051818832, + "loss": 5.9259, + "mean_token_accuracy": 0.15897325575351715, + "num_tokens": 3788461.0, + "step": 1685 + }, + { + "entropy": 6.090081596374512, + "epoch": 1.8274743104380746, + "grad_norm": 0.80859375, + "learning_rate": 0.0004922814191451435, + "loss": 5.858, + "mean_token_accuracy": 0.1614278480410576, + "num_tokens": 3799574.0, + "step": 1690 + }, + { + "entropy": 6.144002056121826, + "epoch": 1.8328826392644673, + "grad_norm": 0.7890625, + "learning_rate": 0.0004921696435072245, + "loss": 6.0176, + "mean_token_accuracy": 0.15314162373542786, + "num_tokens": 3811889.0, + "step": 1695 + }, + { + "entropy": 6.159265851974487, + "epoch": 1.83829096809086, + "grad_norm": 0.82421875, + "learning_rate": 0.0004920570786743191, + "loss": 5.9568, + "mean_token_accuracy": 0.15708799809217452, + "num_tokens": 3822949.0, + "step": 1700 + }, + { + "entropy": 6.123097229003906, + "epoch": 1.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004919437250554882, + "loss": 6.0601, + "mean_token_accuracy": 0.15241828560829163, + "num_tokens": 3834734.0, + "step": 1705 + }, + { + "entropy": 6.17847056388855, + "epoch": 1.8491076257436452, + "grad_norm": 0.98828125, + "learning_rate": 0.0004918295830626592, + "loss": 5.9247, + "mean_token_accuracy": 0.16275494247674943, + "num_tokens": 3845508.0, + "step": 1710 + }, + { + "entropy": 6.1110372066497805, + "epoch": 1.8545159545700378, + "grad_norm": 0.86328125, + "learning_rate": 0.0004917146531106242, + "loss": 5.9003, + "mean_token_accuracy": 0.1607997313141823, + "num_tokens": 3856500.0, + "step": 1715 + }, + { + "entropy": 6.182471418380738, + "epoch": 1.8599242833964305, + "grad_norm": 0.88671875, + "learning_rate": 0.0004915989356170389, + "loss": 5.9822, + "mean_token_accuracy": 0.1572587251663208, + "num_tokens": 3867877.0, + "step": 1720 + }, + { + "entropy": 6.160144996643067, + "epoch": 1.865332612222823, + "grad_norm": 0.8671875, + "learning_rate": 0.0004914824310024213, + "loss": 5.984, + "mean_token_accuracy": 0.16093191802501677, + "num_tokens": 3878613.0, + "step": 1725 + }, + { + "entropy": 6.139301109313965, + "epoch": 1.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0004913651396901489, + "loss": 5.8982, + "mean_token_accuracy": 0.1604979693889618, + "num_tokens": 3888418.0, + "step": 1730 + }, + { + "entropy": 6.104005002975464, + "epoch": 1.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.000491247062106459, + "loss": 5.9607, + "mean_token_accuracy": 0.15970670878887178, + "num_tokens": 3899359.0, + "step": 1735 + }, + { + "entropy": 6.161985731124878, + "epoch": 1.8815575987020012, + "grad_norm": 0.78515625, + "learning_rate": 0.0004911281986804455, + "loss": 6.0492, + "mean_token_accuracy": 0.155263289809227, + "num_tokens": 3911568.0, + "step": 1740 + }, + { + "entropy": 6.086746501922607, + "epoch": 1.8869659275283936, + "grad_norm": 0.86328125, + "learning_rate": 0.0004910085498440587, + "loss": 5.9885, + "mean_token_accuracy": 0.15208180546760558, + "num_tokens": 3921597.0, + "step": 1745 + }, + { + "entropy": 6.106437063217163, + "epoch": 1.8923742563547865, + "grad_norm": 0.90234375, + "learning_rate": 0.0004908881160321025, + "loss": 5.8945, + "mean_token_accuracy": 0.15527794659137725, + "num_tokens": 3933124.0, + "step": 1750 + }, + { + "entropy": 6.101495933532715, + "epoch": 1.897782585181179, + "grad_norm": 0.9375, + "learning_rate": 0.0004907668976822338, + "loss": 5.9075, + "mean_token_accuracy": 0.1635837063193321, + "num_tokens": 3944388.0, + "step": 1755 + }, + { + "entropy": 6.124244594573975, + "epoch": 1.9031909140075718, + "grad_norm": 0.890625, + "learning_rate": 0.0004906448952349603, + "loss": 5.8894, + "mean_token_accuracy": 0.1622192844748497, + "num_tokens": 3955024.0, + "step": 1760 + }, + { + "entropy": 5.979105043411255, + "epoch": 1.9085992428339642, + "grad_norm": 0.828125, + "learning_rate": 0.0004905221091336392, + "loss": 5.8657, + "mean_token_accuracy": 0.16770282983779908, + "num_tokens": 3966029.0, + "step": 1765 + }, + { + "entropy": 6.045361518859863, + "epoch": 1.914007571660357, + "grad_norm": 0.95703125, + "learning_rate": 0.0004903985398244753, + "loss": 5.8343, + "mean_token_accuracy": 0.1611066535115242, + "num_tokens": 3976066.0, + "step": 1770 + }, + { + "entropy": 6.184390306472778, + "epoch": 1.9194159004867495, + "grad_norm": 0.8515625, + "learning_rate": 0.0004902741877565201, + "loss": 6.0466, + "mean_token_accuracy": 0.15331881493330002, + "num_tokens": 3986467.0, + "step": 1775 + }, + { + "entropy": 6.192496967315674, + "epoch": 1.9248242293131423, + "grad_norm": 0.84765625, + "learning_rate": 0.000490149053381669, + "loss": 6.0091, + "mean_token_accuracy": 0.1580958053469658, + "num_tokens": 3998208.0, + "step": 1780 + }, + { + "entropy": 6.161718368530273, + "epoch": 1.9302325581395348, + "grad_norm": 0.9453125, + "learning_rate": 0.0004900231371546608, + "loss": 5.9688, + "mean_token_accuracy": 0.15808582603931426, + "num_tokens": 4008202.0, + "step": 1785 + }, + { + "entropy": 6.006673288345337, + "epoch": 1.9356408869659276, + "grad_norm": 0.9453125, + "learning_rate": 0.0004898964395330753, + "loss": 5.7802, + "mean_token_accuracy": 0.16955413669347763, + "num_tokens": 4019256.0, + "step": 1790 + }, + { + "entropy": 6.0177160739898685, + "epoch": 1.94104921579232, + "grad_norm": 0.8359375, + "learning_rate": 0.0004897689609773318, + "loss": 5.8303, + "mean_token_accuracy": 0.1599978283047676, + "num_tokens": 4029738.0, + "step": 1795 + }, + { + "entropy": 6.115762710571289, + "epoch": 1.946457544618713, + "grad_norm": 0.84375, + "learning_rate": 0.0004896407019506879, + "loss": 6.0592, + "mean_token_accuracy": 0.14657395482063293, + "num_tokens": 4042277.0, + "step": 1800 + }, + { + "entropy": 6.15372142791748, + "epoch": 1.9518658734451053, + "grad_norm": 0.8828125, + "learning_rate": 0.0004895116629192371, + "loss": 5.9099, + "mean_token_accuracy": 0.16865991055965424, + "num_tokens": 4054019.0, + "step": 1805 + }, + { + "entropy": 6.047328758239746, + "epoch": 1.9572742022714982, + "grad_norm": 0.82421875, + "learning_rate": 0.0004893818443519074, + "loss": 5.9918, + "mean_token_accuracy": 0.15915630012750626, + "num_tokens": 4065562.0, + "step": 1810 + }, + { + "entropy": 6.187886524200439, + "epoch": 1.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.00048925124672046, + "loss": 6.0174, + "mean_token_accuracy": 0.15806035250425338, + "num_tokens": 4076617.0, + "step": 1815 + }, + { + "entropy": 6.088625478744507, + "epoch": 1.9680908599242835, + "grad_norm": 0.85546875, + "learning_rate": 0.0004891198704994868, + "loss": 5.8464, + "mean_token_accuracy": 0.16766615808010102, + "num_tokens": 4087191.0, + "step": 1820 + }, + { + "entropy": 6.122962379455567, + "epoch": 1.973499188750676, + "grad_norm": 0.79296875, + "learning_rate": 0.0004889877161664096, + "loss": 5.8828, + "mean_token_accuracy": 0.15968139767646788, + "num_tokens": 4099150.0, + "step": 1825 + }, + { + "entropy": 6.043911170959473, + "epoch": 1.9789075175770687, + "grad_norm": 0.9375, + "learning_rate": 0.0004888547842014771, + "loss": 5.8843, + "mean_token_accuracy": 0.1640367776155472, + "num_tokens": 4110299.0, + "step": 1830 + }, + { + "entropy": 6.044490718841553, + "epoch": 1.9843158464034614, + "grad_norm": 0.86328125, + "learning_rate": 0.0004887210750877648, + "loss": 5.9045, + "mean_token_accuracy": 0.15955243557691573, + "num_tokens": 4121682.0, + "step": 1835 + }, + { + "entropy": 6.088275671005249, + "epoch": 1.989724175229854, + "grad_norm": 0.81640625, + "learning_rate": 0.0004885865893111716, + "loss": 5.8377, + "mean_token_accuracy": 0.16278486102819442, + "num_tokens": 4132914.0, + "step": 1840 + }, + { + "entropy": 6.083577823638916, + "epoch": 1.9951325040562466, + "grad_norm": 0.8515625, + "learning_rate": 0.0004884513273604195, + "loss": 5.9558, + "mean_token_accuracy": 0.15854081958532334, + "num_tokens": 4144213.0, + "step": 1845 + }, + { + "entropy": 6.0928910573323565, + "epoch": 2.0, + "grad_norm": 1.7734375, + "learning_rate": 0.0004883152897270502, + "loss": 5.9708, + "mean_token_accuracy": 0.16234943601820204, + "num_tokens": 4153778.0, + "step": 1850 + }, + { + "entropy": 6.038874340057373, + "epoch": 2.005408328826393, + "grad_norm": 0.84765625, + "learning_rate": 0.0004881784769054253, + "loss": 5.6325, + "mean_token_accuracy": 0.16707420349121094, + "num_tokens": 4165536.0, + "step": 1855 + }, + { + "entropy": 6.132140398025513, + "epoch": 2.0108166576527853, + "grad_norm": 0.77734375, + "learning_rate": 0.0004880408893927226, + "loss": 5.699, + "mean_token_accuracy": 0.16293582916259766, + "num_tokens": 4176182.0, + "step": 1860 + }, + { + "entropy": 5.968934869766235, + "epoch": 2.016224986479178, + "grad_norm": 0.80078125, + "learning_rate": 0.0004879025276889355, + "loss": 5.6808, + "mean_token_accuracy": 0.1741676703095436, + "num_tokens": 4187592.0, + "step": 1865 + }, + { + "entropy": 5.9331096649169925, + "epoch": 2.0216333153055706, + "grad_norm": 0.828125, + "learning_rate": 0.00048776339229687077, + "loss": 5.5039, + "mean_token_accuracy": 0.18047458976507186, + "num_tokens": 4198199.0, + "step": 1870 + }, + { + "entropy": 6.032744646072388, + "epoch": 2.0270416441319634, + "grad_norm": 0.8671875, + "learning_rate": 0.00048762348372214683, + "loss": 5.7308, + "mean_token_accuracy": 0.17150004357099533, + "num_tokens": 4208116.0, + "step": 1875 + }, + { + "entropy": 5.954532957077026, + "epoch": 2.032449972958356, + "grad_norm": 0.8125, + "learning_rate": 0.00048748280247319165, + "loss": 5.51, + "mean_token_accuracy": 0.1745804950594902, + "num_tokens": 4218569.0, + "step": 1880 + }, + { + "entropy": 6.012410497665405, + "epoch": 2.0378583017847487, + "grad_norm": 0.85546875, + "learning_rate": 0.0004873413490612412, + "loss": 5.6683, + "mean_token_accuracy": 0.17654334455728532, + "num_tokens": 4228785.0, + "step": 1885 + }, + { + "entropy": 5.967253875732422, + "epoch": 2.043266630611141, + "grad_norm": 0.96484375, + "learning_rate": 0.00048719912400033757, + "loss": 5.6134, + "mean_token_accuracy": 0.17209813743829727, + "num_tokens": 4238814.0, + "step": 1890 + }, + { + "entropy": 5.937309980392456, + "epoch": 2.048674959437534, + "grad_norm": 0.78125, + "learning_rate": 0.000487056127807327, + "loss": 5.5989, + "mean_token_accuracy": 0.1668916642665863, + "num_tokens": 4250544.0, + "step": 1895 + }, + { + "entropy": 5.972121667861939, + "epoch": 2.0540832882639264, + "grad_norm": 0.94140625, + "learning_rate": 0.00048691236100185795, + "loss": 5.7262, + "mean_token_accuracy": 0.1700291305780411, + "num_tokens": 4261806.0, + "step": 1900 + }, + { + "entropy": 6.081006002426148, + "epoch": 2.0594916170903192, + "grad_norm": 0.9453125, + "learning_rate": 0.0004867678241063792, + "loss": 5.6597, + "mean_token_accuracy": 0.17602354884147645, + "num_tokens": 4272472.0, + "step": 1905 + }, + { + "entropy": 5.96207184791565, + "epoch": 2.0648999459167117, + "grad_norm": 0.86328125, + "learning_rate": 0.00048662251764613833, + "loss": 5.6454, + "mean_token_accuracy": 0.17205152809619903, + "num_tokens": 4283758.0, + "step": 1910 + }, + { + "entropy": 5.960440158843994, + "epoch": 2.0703082747431045, + "grad_norm": 0.81640625, + "learning_rate": 0.0004864764421491793, + "loss": 5.7573, + "mean_token_accuracy": 0.17194358259439468, + "num_tokens": 4295930.0, + "step": 1915 + }, + { + "entropy": 6.125428771972656, + "epoch": 2.075716603569497, + "grad_norm": 0.82421875, + "learning_rate": 0.0004863295981463408, + "loss": 5.685, + "mean_token_accuracy": 0.1795160949230194, + "num_tokens": 4306711.0, + "step": 1920 + }, + { + "entropy": 5.9089724063873295, + "epoch": 2.08112493239589, + "grad_norm": 0.94140625, + "learning_rate": 0.0004861819861712543, + "loss": 5.6524, + "mean_token_accuracy": 0.17312369346618653, + "num_tokens": 4317694.0, + "step": 1925 + }, + { + "entropy": 6.112170314788818, + "epoch": 2.086533261222282, + "grad_norm": 0.88671875, + "learning_rate": 0.00048603360676034203, + "loss": 5.7425, + "mean_token_accuracy": 0.16565849781036376, + "num_tokens": 4329552.0, + "step": 1930 + }, + { + "entropy": 5.929319953918457, + "epoch": 2.091941590048675, + "grad_norm": 0.84765625, + "learning_rate": 0.00048588446045281505, + "loss": 5.6863, + "mean_token_accuracy": 0.16775599867105484, + "num_tokens": 4340479.0, + "step": 1935 + }, + { + "entropy": 5.901368093490601, + "epoch": 2.0973499188750675, + "grad_norm": 0.87890625, + "learning_rate": 0.0004857345477906714, + "loss": 5.5506, + "mean_token_accuracy": 0.17553742080926896, + "num_tokens": 4351147.0, + "step": 1940 + }, + { + "entropy": 5.842008829116821, + "epoch": 2.1027582477014604, + "grad_norm": 0.83203125, + "learning_rate": 0.00048558386931869417, + "loss": 5.558, + "mean_token_accuracy": 0.17481432408094405, + "num_tokens": 4362962.0, + "step": 1945 + }, + { + "entropy": 6.008848047256469, + "epoch": 2.1081665765278528, + "grad_norm": 0.796875, + "learning_rate": 0.0004854324255844492, + "loss": 5.6692, + "mean_token_accuracy": 0.17549348920583724, + "num_tokens": 4373723.0, + "step": 1950 + }, + { + "entropy": 5.859284687042236, + "epoch": 2.1135749053542456, + "grad_norm": 0.9296875, + "learning_rate": 0.00048528021713828336, + "loss": 5.6279, + "mean_token_accuracy": 0.17020242065191268, + "num_tokens": 4383434.0, + "step": 1955 + }, + { + "entropy": 5.940160512924194, + "epoch": 2.118983234180638, + "grad_norm": 0.87109375, + "learning_rate": 0.0004851272445333225, + "loss": 5.5911, + "mean_token_accuracy": 0.17354973703622817, + "num_tokens": 4394847.0, + "step": 1960 + }, + { + "entropy": 5.966811418533325, + "epoch": 2.124391563007031, + "grad_norm": 0.85546875, + "learning_rate": 0.00048497350832546937, + "loss": 5.6989, + "mean_token_accuracy": 0.17423516064882277, + "num_tokens": 4406367.0, + "step": 1965 + }, + { + "entropy": 6.029182243347168, + "epoch": 2.1297998918334233, + "grad_norm": 0.90234375, + "learning_rate": 0.0004848190090734018, + "loss": 5.6875, + "mean_token_accuracy": 0.17333697378635407, + "num_tokens": 4417636.0, + "step": 1970 + }, + { + "entropy": 5.945331001281739, + "epoch": 2.135208220659816, + "grad_norm": 0.828125, + "learning_rate": 0.00048466374733857035, + "loss": 5.702, + "mean_token_accuracy": 0.17600674629211427, + "num_tokens": 4428473.0, + "step": 1975 + }, + { + "entropy": 5.949156856536865, + "epoch": 2.1406165494862086, + "grad_norm": 0.90625, + "learning_rate": 0.0004845077236851966, + "loss": 5.626, + "mean_token_accuracy": 0.17079080790281295, + "num_tokens": 4439780.0, + "step": 1980 + }, + { + "entropy": 5.931070041656494, + "epoch": 2.1460248783126015, + "grad_norm": 0.86328125, + "learning_rate": 0.00048435093868027076, + "loss": 5.5751, + "mean_token_accuracy": 0.1878390669822693, + "num_tokens": 4450929.0, + "step": 1985 + }, + { + "entropy": 5.899034023284912, + "epoch": 2.151433207138994, + "grad_norm": 0.8671875, + "learning_rate": 0.00048419339289354995, + "loss": 5.6144, + "mean_token_accuracy": 0.1744977578520775, + "num_tokens": 4462967.0, + "step": 1990 + }, + { + "entropy": 5.990045833587646, + "epoch": 2.1568415359653867, + "grad_norm": 0.94921875, + "learning_rate": 0.000484035086897556, + "loss": 5.7256, + "mean_token_accuracy": 0.17501339465379714, + "num_tokens": 4473970.0, + "step": 1995 + }, + { + "entropy": 5.987075233459473, + "epoch": 2.162249864791779, + "grad_norm": 0.8515625, + "learning_rate": 0.0004838760212675732, + "loss": 5.6984, + "mean_token_accuracy": 0.1695317879319191, + "num_tokens": 4485660.0, + "step": 2000 + }, + { + "epoch": 2.162249864791779, + "eval_entropy": 5.967337659272281, + "eval_loss": 6.1111321449279785, + "eval_mean_token_accuracy": 0.16192942243916067, + "eval_num_tokens": 4485660.0, + "eval_runtime": 3.531, + "eval_samples_per_second": 995.473, + "eval_steps_per_second": 124.611, + "step": 2000 + }, + { + "entropy": 6.009161901473999, + "epoch": 2.167658193618172, + "grad_norm": 0.8671875, + "learning_rate": 0.0004837161965816464, + "loss": 5.6804, + "mean_token_accuracy": 0.17444284856319428, + "num_tokens": 4497261.0, + "step": 2005 + }, + { + "entropy": 5.890836334228515, + "epoch": 2.1730665224445644, + "grad_norm": 0.859375, + "learning_rate": 0.00048355561342057886, + "loss": 5.5702, + "mean_token_accuracy": 0.18166276961565017, + "num_tokens": 4508120.0, + "step": 2010 + }, + { + "entropy": 5.997749853134155, + "epoch": 2.1784748512709573, + "grad_norm": 0.85546875, + "learning_rate": 0.00048339427236793024, + "loss": 5.6643, + "mean_token_accuracy": 0.17516567558050156, + "num_tokens": 4519286.0, + "step": 2015 + }, + { + "entropy": 5.983465051651001, + "epoch": 2.1838831800973497, + "grad_norm": 0.75, + "learning_rate": 0.0004832321740100143, + "loss": 5.7145, + "mean_token_accuracy": 0.17017477452754975, + "num_tokens": 4531912.0, + "step": 2020 + }, + { + "entropy": 6.05001859664917, + "epoch": 2.1892915089237426, + "grad_norm": 0.90625, + "learning_rate": 0.00048306931893589666, + "loss": 5.7422, + "mean_token_accuracy": 0.170116625726223, + "num_tokens": 4544370.0, + "step": 2025 + }, + { + "entropy": 5.916760873794556, + "epoch": 2.194699837750135, + "grad_norm": 0.8515625, + "learning_rate": 0.00048290570773739327, + "loss": 5.6841, + "mean_token_accuracy": 0.17166270464658737, + "num_tokens": 4556013.0, + "step": 2030 + }, + { + "entropy": 5.9200887203216555, + "epoch": 2.200108166576528, + "grad_norm": 0.87109375, + "learning_rate": 0.00048274134100906747, + "loss": 5.6354, + "mean_token_accuracy": 0.1718206897377968, + "num_tokens": 4566200.0, + "step": 2035 + }, + { + "entropy": 5.96041841506958, + "epoch": 2.2055164954029207, + "grad_norm": 0.83984375, + "learning_rate": 0.00048257621934822835, + "loss": 5.6847, + "mean_token_accuracy": 0.1735834926366806, + "num_tokens": 4576899.0, + "step": 2040 + }, + { + "entropy": 6.021680450439453, + "epoch": 2.210924824229313, + "grad_norm": 0.79296875, + "learning_rate": 0.0004824103433549285, + "loss": 5.668, + "mean_token_accuracy": 0.16992697566747667, + "num_tokens": 4588983.0, + "step": 2045 + }, + { + "entropy": 5.919964599609375, + "epoch": 2.2163331530557056, + "grad_norm": 0.9765625, + "learning_rate": 0.0004822437136319616, + "loss": 5.6343, + "mean_token_accuracy": 0.17985793501138686, + "num_tokens": 4599758.0, + "step": 2050 + }, + { + "entropy": 5.931059885025024, + "epoch": 2.2217414818820984, + "grad_norm": 0.87890625, + "learning_rate": 0.0004820763307848604, + "loss": 5.6744, + "mean_token_accuracy": 0.1735081821680069, + "num_tokens": 4610927.0, + "step": 2055 + }, + { + "entropy": 5.934611368179321, + "epoch": 2.2271498107084913, + "grad_norm": 0.87890625, + "learning_rate": 0.00048190819542189456, + "loss": 5.7026, + "mean_token_accuracy": 0.17243197113275527, + "num_tokens": 4623719.0, + "step": 2060 + }, + { + "entropy": 5.981340122222901, + "epoch": 2.2325581395348837, + "grad_norm": 0.87890625, + "learning_rate": 0.00048173930815406847, + "loss": 5.7642, + "mean_token_accuracy": 0.1689779832959175, + "num_tokens": 4635389.0, + "step": 2065 + }, + { + "entropy": 5.9712042808532715, + "epoch": 2.2379664683612766, + "grad_norm": 0.94921875, + "learning_rate": 0.0004815696695951187, + "loss": 5.7046, + "mean_token_accuracy": 0.1701254963874817, + "num_tokens": 4645093.0, + "step": 2070 + }, + { + "entropy": 5.921566295623779, + "epoch": 2.243374797187669, + "grad_norm": 0.859375, + "learning_rate": 0.0004813992803615123, + "loss": 5.6952, + "mean_token_accuracy": 0.16522742807865143, + "num_tokens": 4656490.0, + "step": 2075 + }, + { + "entropy": 6.0387671947479244, + "epoch": 2.248783126014062, + "grad_norm": 0.921875, + "learning_rate": 0.00048122814107244414, + "loss": 5.7102, + "mean_token_accuracy": 0.17248750180006028, + "num_tokens": 4667603.0, + "step": 2080 + }, + { + "entropy": 5.879037141799927, + "epoch": 2.2541914548404542, + "grad_norm": 0.88671875, + "learning_rate": 0.00048105625234983466, + "loss": 5.6542, + "mean_token_accuracy": 0.16627398133277893, + "num_tokens": 4678669.0, + "step": 2085 + }, + { + "entropy": 5.898302793502808, + "epoch": 2.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 0.00048088361481832807, + "loss": 5.4423, + "mean_token_accuracy": 0.18547236919403076, + "num_tokens": 4689757.0, + "step": 2090 + }, + { + "entropy": 5.818560361862183, + "epoch": 2.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00048071022910528934, + "loss": 5.6272, + "mean_token_accuracy": 0.17067526429891586, + "num_tokens": 4699332.0, + "step": 2095 + }, + { + "entropy": 5.984354543685913, + "epoch": 2.2704164413196324, + "grad_norm": 0.9375, + "learning_rate": 0.00048053609584080274, + "loss": 5.7134, + "mean_token_accuracy": 0.1770985320210457, + "num_tokens": 4709485.0, + "step": 2100 + }, + { + "entropy": 5.869245529174805, + "epoch": 2.275824770146025, + "grad_norm": 0.8515625, + "learning_rate": 0.00048036121565766876, + "loss": 5.6335, + "mean_token_accuracy": 0.17194894403219224, + "num_tokens": 4720935.0, + "step": 2105 + }, + { + "entropy": 5.875689172744751, + "epoch": 2.2812330989724177, + "grad_norm": 0.84375, + "learning_rate": 0.0004801855891914026, + "loss": 5.5988, + "mean_token_accuracy": 0.17105952203273772, + "num_tokens": 4731219.0, + "step": 2110 + }, + { + "entropy": 5.963768005371094, + "epoch": 2.28664142779881, + "grad_norm": 0.921875, + "learning_rate": 0.00048000921708023117, + "loss": 5.7192, + "mean_token_accuracy": 0.17015954703092576, + "num_tokens": 4742637.0, + "step": 2115 + }, + { + "entropy": 5.9226116180419925, + "epoch": 2.292049756625203, + "grad_norm": 0.88671875, + "learning_rate": 0.0004798320999650911, + "loss": 5.6193, + "mean_token_accuracy": 0.1703588470816612, + "num_tokens": 4753341.0, + "step": 2120 + }, + { + "entropy": 6.100405216217041, + "epoch": 2.2974580854515954, + "grad_norm": 0.875, + "learning_rate": 0.00047965423848962636, + "loss": 5.7774, + "mean_token_accuracy": 0.17631693184375763, + "num_tokens": 4765339.0, + "step": 2125 + }, + { + "entropy": 5.9548952102661135, + "epoch": 2.302866414277988, + "grad_norm": 0.79296875, + "learning_rate": 0.000479475633300186, + "loss": 5.6155, + "mean_token_accuracy": 0.1795394852757454, + "num_tokens": 4776149.0, + "step": 2130 + }, + { + "entropy": 5.871384334564209, + "epoch": 2.3082747431043806, + "grad_norm": 0.875, + "learning_rate": 0.00047929628504582173, + "loss": 5.6531, + "mean_token_accuracy": 0.17741299122571946, + "num_tokens": 4788120.0, + "step": 2135 + }, + { + "entropy": 5.998767900466919, + "epoch": 2.3136830719307735, + "grad_norm": 0.88671875, + "learning_rate": 0.0004791161943782856, + "loss": 5.7328, + "mean_token_accuracy": 0.16924816071987153, + "num_tokens": 4799922.0, + "step": 2140 + }, + { + "entropy": 5.823422861099243, + "epoch": 2.319091400757166, + "grad_norm": 0.83203125, + "learning_rate": 0.00047893536195202726, + "loss": 5.6683, + "mean_token_accuracy": 0.169066621363163, + "num_tokens": 4810501.0, + "step": 2145 + }, + { + "entropy": 5.91726450920105, + "epoch": 2.3244997295835588, + "grad_norm": 0.9140625, + "learning_rate": 0.0004787537884241923, + "loss": 5.601, + "mean_token_accuracy": 0.1761727049946785, + "num_tokens": 4820919.0, + "step": 2150 + }, + { + "entropy": 5.978335571289063, + "epoch": 2.329908058409951, + "grad_norm": 0.87890625, + "learning_rate": 0.00047857147445461943, + "loss": 5.7127, + "mean_token_accuracy": 0.17215983420610428, + "num_tokens": 4833298.0, + "step": 2155 + }, + { + "entropy": 5.849052619934082, + "epoch": 2.335316387236344, + "grad_norm": 0.90234375, + "learning_rate": 0.0004783884207058379, + "loss": 5.5755, + "mean_token_accuracy": 0.17292249351739883, + "num_tokens": 4845199.0, + "step": 2160 + }, + { + "entropy": 5.862699031829834, + "epoch": 2.3407247160627365, + "grad_norm": 0.921875, + "learning_rate": 0.00047820462784306555, + "loss": 5.6373, + "mean_token_accuracy": 0.17088074684143068, + "num_tokens": 4856549.0, + "step": 2165 + }, + { + "entropy": 5.923096704483032, + "epoch": 2.3461330448891293, + "grad_norm": 0.890625, + "learning_rate": 0.000478020096534206, + "loss": 5.6859, + "mean_token_accuracy": 0.16967353075742722, + "num_tokens": 4868446.0, + "step": 2170 + }, + { + "entropy": 6.029429006576538, + "epoch": 2.3515413737155217, + "grad_norm": 0.8828125, + "learning_rate": 0.00047783482744984644, + "loss": 5.7257, + "mean_token_accuracy": 0.16710098087787628, + "num_tokens": 4879047.0, + "step": 2175 + }, + { + "entropy": 5.930259323120117, + "epoch": 2.3569497025419146, + "grad_norm": 0.796875, + "learning_rate": 0.00047764882126325527, + "loss": 5.6235, + "mean_token_accuracy": 0.1699826642870903, + "num_tokens": 4891591.0, + "step": 2180 + }, + { + "entropy": 5.901684713363648, + "epoch": 2.362358031368307, + "grad_norm": 0.8046875, + "learning_rate": 0.0004774620786503793, + "loss": 5.6281, + "mean_token_accuracy": 0.17609986066818237, + "num_tokens": 4902710.0, + "step": 2185 + }, + { + "entropy": 5.9096949100494385, + "epoch": 2.3677663601947, + "grad_norm": 0.80078125, + "learning_rate": 0.0004772746002898417, + "loss": 5.7105, + "mean_token_accuracy": 0.17462405413389206, + "num_tokens": 4914668.0, + "step": 2190 + }, + { + "entropy": 6.050159168243408, + "epoch": 2.3731746890210923, + "grad_norm": 0.99609375, + "learning_rate": 0.00047708638686293903, + "loss": 5.8589, + "mean_token_accuracy": 0.16697658449411393, + "num_tokens": 4926684.0, + "step": 2195 + }, + { + "entropy": 6.019222831726074, + "epoch": 2.378583017847485, + "grad_norm": 0.7734375, + "learning_rate": 0.00047689743905363963, + "loss": 5.7189, + "mean_token_accuracy": 0.170701701939106, + "num_tokens": 4938577.0, + "step": 2200 + }, + { + "entropy": 5.828266859054565, + "epoch": 2.383991346673878, + "grad_norm": 0.8984375, + "learning_rate": 0.0004767077575485801, + "loss": 5.5812, + "mean_token_accuracy": 0.1782996416091919, + "num_tokens": 4949070.0, + "step": 2205 + }, + { + "entropy": 5.878254413604736, + "epoch": 2.3893996755002704, + "grad_norm": 0.9140625, + "learning_rate": 0.0004765173430370635, + "loss": 5.6504, + "mean_token_accuracy": 0.17152102589607238, + "num_tokens": 4959558.0, + "step": 2210 + }, + { + "entropy": 5.859272575378418, + "epoch": 2.394808004326663, + "grad_norm": 0.87109375, + "learning_rate": 0.0004763261962110567, + "loss": 5.5225, + "mean_token_accuracy": 0.17889102399349213, + "num_tokens": 4970310.0, + "step": 2215 + }, + { + "entropy": 5.802045440673828, + "epoch": 2.4002163331530557, + "grad_norm": 0.83203125, + "learning_rate": 0.0004761343177651875, + "loss": 5.5992, + "mean_token_accuracy": 0.1725127875804901, + "num_tokens": 4982300.0, + "step": 2220 + }, + { + "entropy": 5.910652208328247, + "epoch": 2.4056246619794486, + "grad_norm": 0.83984375, + "learning_rate": 0.0004759417083967428, + "loss": 5.6301, + "mean_token_accuracy": 0.17524359822273256, + "num_tokens": 4994425.0, + "step": 2225 + }, + { + "entropy": 5.834094285964966, + "epoch": 2.411032990805841, + "grad_norm": 0.80078125, + "learning_rate": 0.00047574836880566544, + "loss": 5.6279, + "mean_token_accuracy": 0.1814741834998131, + "num_tokens": 5005872.0, + "step": 2230 + }, + { + "entropy": 5.86660532951355, + "epoch": 2.4164413196322334, + "grad_norm": 0.875, + "learning_rate": 0.0004755542996945519, + "loss": 5.6812, + "mean_token_accuracy": 0.17532453089952468, + "num_tokens": 5016903.0, + "step": 2235 + }, + { + "entropy": 5.97542290687561, + "epoch": 2.4218496484586263, + "grad_norm": 0.80859375, + "learning_rate": 0.00047535950176864976, + "loss": 5.722, + "mean_token_accuracy": 0.17611724883317947, + "num_tokens": 5028407.0, + "step": 2240 + }, + { + "entropy": 5.881137847900391, + "epoch": 2.427257977285019, + "grad_norm": 0.8359375, + "learning_rate": 0.00047516397573585525, + "loss": 5.7158, + "mean_token_accuracy": 0.17345101535320281, + "num_tokens": 5039693.0, + "step": 2245 + }, + { + "entropy": 5.993742322921753, + "epoch": 2.4326663061114115, + "grad_norm": 0.8828125, + "learning_rate": 0.00047496772230671034, + "loss": 5.6622, + "mean_token_accuracy": 0.17378358244895936, + "num_tokens": 5051279.0, + "step": 2250 + }, + { + "entropy": 5.909454488754273, + "epoch": 2.4380746349378044, + "grad_norm": 0.953125, + "learning_rate": 0.0004747707421944004, + "loss": 5.6179, + "mean_token_accuracy": 0.17530350983142853, + "num_tokens": 5062698.0, + "step": 2255 + }, + { + "entropy": 5.898091793060303, + "epoch": 2.443482963764197, + "grad_norm": 0.79296875, + "learning_rate": 0.0004745730361147517, + "loss": 5.594, + "mean_token_accuracy": 0.1770256981253624, + "num_tokens": 5074927.0, + "step": 2260 + }, + { + "entropy": 5.894674301147461, + "epoch": 2.4488912925905897, + "grad_norm": 0.91796875, + "learning_rate": 0.0004743746047862286, + "loss": 5.7309, + "mean_token_accuracy": 0.1637778252363205, + "num_tokens": 5086298.0, + "step": 2265 + }, + { + "entropy": 5.981807708740234, + "epoch": 2.454299621416982, + "grad_norm": 0.8046875, + "learning_rate": 0.0004741754489299309, + "loss": 5.668, + "mean_token_accuracy": 0.1721787706017494, + "num_tokens": 5098161.0, + "step": 2270 + }, + { + "entropy": 5.831097507476807, + "epoch": 2.459707950243375, + "grad_norm": 0.8359375, + "learning_rate": 0.00047397556926959155, + "loss": 5.6566, + "mean_token_accuracy": 0.1823459669947624, + "num_tokens": 5110743.0, + "step": 2275 + }, + { + "entropy": 5.993427467346192, + "epoch": 2.4651162790697674, + "grad_norm": 0.875, + "learning_rate": 0.00047377496653157374, + "loss": 5.7046, + "mean_token_accuracy": 0.1776488870382309, + "num_tokens": 5121838.0, + "step": 2280 + }, + { + "entropy": 5.861187219619751, + "epoch": 2.4705246078961602, + "grad_norm": 0.921875, + "learning_rate": 0.00047357364144486806, + "loss": 5.6353, + "mean_token_accuracy": 0.17126872688531875, + "num_tokens": 5135047.0, + "step": 2285 + }, + { + "entropy": 5.844826650619507, + "epoch": 2.4759329367225527, + "grad_norm": 0.87109375, + "learning_rate": 0.00047337159474109057, + "loss": 5.6107, + "mean_token_accuracy": 0.17242614775896073, + "num_tokens": 5146329.0, + "step": 2290 + }, + { + "entropy": 5.949182653427124, + "epoch": 2.4813412655489455, + "grad_norm": 0.875, + "learning_rate": 0.00047316882715447934, + "loss": 5.6846, + "mean_token_accuracy": 0.17800829112529754, + "num_tokens": 5157511.0, + "step": 2295 + }, + { + "entropy": 5.8185004711151125, + "epoch": 2.486749594375338, + "grad_norm": 0.9609375, + "learning_rate": 0.0004729653394218922, + "loss": 5.6579, + "mean_token_accuracy": 0.17028010934591292, + "num_tokens": 5168456.0, + "step": 2300 + }, + { + "entropy": 6.005807256698608, + "epoch": 2.492157923201731, + "grad_norm": 0.8671875, + "learning_rate": 0.00047276113228280427, + "loss": 5.7136, + "mean_token_accuracy": 0.17623213529586793, + "num_tokens": 5179294.0, + "step": 2305 + }, + { + "entropy": 5.961325216293335, + "epoch": 2.497566252028123, + "grad_norm": 0.828125, + "learning_rate": 0.0004725562064793045, + "loss": 5.6651, + "mean_token_accuracy": 0.1779454082250595, + "num_tokens": 5190195.0, + "step": 2310 + }, + { + "entropy": 5.758653068542481, + "epoch": 2.502974580854516, + "grad_norm": 0.96875, + "learning_rate": 0.00047235056275609397, + "loss": 5.5326, + "mean_token_accuracy": 0.1819295510649681, + "num_tokens": 5201289.0, + "step": 2315 + }, + { + "entropy": 5.838653421401977, + "epoch": 2.5083829096809085, + "grad_norm": 0.8828125, + "learning_rate": 0.0004721442018604822, + "loss": 5.57, + "mean_token_accuracy": 0.183014440536499, + "num_tokens": 5212295.0, + "step": 2320 + }, + { + "entropy": 5.829467916488648, + "epoch": 2.5137912385073014, + "grad_norm": 0.83984375, + "learning_rate": 0.0004719371245423853, + "loss": 5.5381, + "mean_token_accuracy": 0.18126602470874786, + "num_tokens": 5223144.0, + "step": 2325 + }, + { + "entropy": 5.765709447860718, + "epoch": 2.5191995673336938, + "grad_norm": 0.90234375, + "learning_rate": 0.00047172933155432273, + "loss": 5.5491, + "mean_token_accuracy": 0.17753212600946428, + "num_tokens": 5232840.0, + "step": 2330 + }, + { + "entropy": 5.896287298202514, + "epoch": 2.5246078961600866, + "grad_norm": 0.890625, + "learning_rate": 0.00047152082365141466, + "loss": 5.6568, + "mean_token_accuracy": 0.1709638550877571, + "num_tokens": 5243796.0, + "step": 2335 + }, + { + "entropy": 5.951115417480469, + "epoch": 2.530016224986479, + "grad_norm": 0.90234375, + "learning_rate": 0.0004713116015913794, + "loss": 5.7522, + "mean_token_accuracy": 0.17281907349824904, + "num_tokens": 5255990.0, + "step": 2340 + }, + { + "entropy": 5.9733569622039795, + "epoch": 2.535424553812872, + "grad_norm": 0.8125, + "learning_rate": 0.00047110166613453016, + "loss": 5.7016, + "mean_token_accuracy": 0.17224203944206237, + "num_tokens": 5268134.0, + "step": 2345 + }, + { + "entropy": 5.7451770305633545, + "epoch": 2.5408328826392643, + "grad_norm": 0.875, + "learning_rate": 0.00047089101804377305, + "loss": 5.5472, + "mean_token_accuracy": 0.17507804930210114, + "num_tokens": 5278662.0, + "step": 2350 + }, + { + "entropy": 5.86171588897705, + "epoch": 2.546241211465657, + "grad_norm": 0.953125, + "learning_rate": 0.0004706796580846037, + "loss": 5.6181, + "mean_token_accuracy": 0.17575339525938033, + "num_tokens": 5288382.0, + "step": 2355 + }, + { + "entropy": 5.922559595108032, + "epoch": 2.5516495402920496, + "grad_norm": 0.8671875, + "learning_rate": 0.00047046758702510465, + "loss": 5.6495, + "mean_token_accuracy": 0.1694240838289261, + "num_tokens": 5299769.0, + "step": 2360 + }, + { + "entropy": 5.962764835357666, + "epoch": 2.5570578691184425, + "grad_norm": 0.8203125, + "learning_rate": 0.00047025480563594264, + "loss": 5.6233, + "mean_token_accuracy": 0.17845901548862458, + "num_tokens": 5310662.0, + "step": 2365 + }, + { + "entropy": 5.814746141433716, + "epoch": 2.5624661979448353, + "grad_norm": 0.84765625, + "learning_rate": 0.00047004131469036576, + "loss": 5.593, + "mean_token_accuracy": 0.1722265288233757, + "num_tokens": 5321785.0, + "step": 2370 + }, + { + "entropy": 5.901667499542237, + "epoch": 2.5678745267712277, + "grad_norm": 0.83984375, + "learning_rate": 0.00046982711496420057, + "loss": 5.6242, + "mean_token_accuracy": 0.1716166153550148, + "num_tokens": 5333557.0, + "step": 2375 + }, + { + "entropy": 5.924446439743042, + "epoch": 2.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.00046961220723584925, + "loss": 5.6765, + "mean_token_accuracy": 0.1697666823863983, + "num_tokens": 5344767.0, + "step": 2380 + }, + { + "entropy": 5.874181699752808, + "epoch": 2.578691184424013, + "grad_norm": 0.7734375, + "learning_rate": 0.00046939659228628725, + "loss": 5.5978, + "mean_token_accuracy": 0.1760467231273651, + "num_tokens": 5356673.0, + "step": 2385 + }, + { + "entropy": 5.874102354049683, + "epoch": 2.584099513250406, + "grad_norm": 0.93359375, + "learning_rate": 0.00046918027089905956, + "loss": 5.7119, + "mean_token_accuracy": 0.16885269433259964, + "num_tokens": 5367296.0, + "step": 2390 + }, + { + "entropy": 5.8442058086395265, + "epoch": 2.5895078420767983, + "grad_norm": 0.83984375, + "learning_rate": 0.00046896324386027873, + "loss": 5.5834, + "mean_token_accuracy": 0.1757770448923111, + "num_tokens": 5378081.0, + "step": 2395 + }, + { + "entropy": 5.8963714122772215, + "epoch": 2.5949161709031907, + "grad_norm": 0.859375, + "learning_rate": 0.00046874551195862145, + "loss": 5.6618, + "mean_token_accuracy": 0.17249250411987305, + "num_tokens": 5390244.0, + "step": 2400 + }, + { + "entropy": 5.818678188323974, + "epoch": 2.6003244997295836, + "grad_norm": 0.93359375, + "learning_rate": 0.000468527075985326, + "loss": 5.525, + "mean_token_accuracy": 0.18108315616846085, + "num_tokens": 5400741.0, + "step": 2405 + }, + { + "entropy": 5.944147539138794, + "epoch": 2.6057328285559764, + "grad_norm": 0.8359375, + "learning_rate": 0.00046830793673418924, + "loss": 5.7406, + "mean_token_accuracy": 0.17808103561401367, + "num_tokens": 5411440.0, + "step": 2410 + }, + { + "entropy": 5.851105117797852, + "epoch": 2.611141157382369, + "grad_norm": 0.94140625, + "learning_rate": 0.00046808809500156355, + "loss": 5.5795, + "mean_token_accuracy": 0.17286153137683868, + "num_tokens": 5422472.0, + "step": 2415 + }, + { + "entropy": 5.849776124954223, + "epoch": 2.6165494862087613, + "grad_norm": 0.84375, + "learning_rate": 0.0004678675515863545, + "loss": 5.6645, + "mean_token_accuracy": 0.16712078154087068, + "num_tokens": 5433958.0, + "step": 2420 + }, + { + "entropy": 5.861989068984985, + "epoch": 2.621957815035154, + "grad_norm": 0.91796875, + "learning_rate": 0.0004676463072900173, + "loss": 5.577, + "mean_token_accuracy": 0.18329984545707703, + "num_tokens": 5444343.0, + "step": 2425 + }, + { + "entropy": 5.826681184768677, + "epoch": 2.627366143861547, + "grad_norm": 0.80078125, + "learning_rate": 0.00046742436291655415, + "loss": 5.5761, + "mean_token_accuracy": 0.17418364882469178, + "num_tokens": 5456260.0, + "step": 2430 + }, + { + "entropy": 5.866898536682129, + "epoch": 2.6327744726879394, + "grad_norm": 0.78515625, + "learning_rate": 0.00046720171927251155, + "loss": 5.6709, + "mean_token_accuracy": 0.17819034904241562, + "num_tokens": 5468281.0, + "step": 2435 + }, + { + "entropy": 5.729748725891113, + "epoch": 2.638182801514332, + "grad_norm": 0.8046875, + "learning_rate": 0.0004669783771669769, + "loss": 5.5208, + "mean_token_accuracy": 0.19250661432743071, + "num_tokens": 5480068.0, + "step": 2440 + }, + { + "entropy": 5.784274673461914, + "epoch": 2.6435911303407247, + "grad_norm": 0.88671875, + "learning_rate": 0.000466754337411576, + "loss": 5.5069, + "mean_token_accuracy": 0.1778206929564476, + "num_tokens": 5490932.0, + "step": 2445 + }, + { + "entropy": 5.7609247207641605, + "epoch": 2.6489994591671175, + "grad_norm": 0.859375, + "learning_rate": 0.00046652960082046985, + "loss": 5.6247, + "mean_token_accuracy": 0.17345626205205916, + "num_tokens": 5501787.0, + "step": 2450 + }, + { + "entropy": 5.870206212997436, + "epoch": 2.65440778799351, + "grad_norm": 0.90625, + "learning_rate": 0.00046630416821035164, + "loss": 5.6032, + "mean_token_accuracy": 0.17429625540971755, + "num_tokens": 5513297.0, + "step": 2455 + }, + { + "entropy": 5.817053031921387, + "epoch": 2.6598161168199024, + "grad_norm": 0.87109375, + "learning_rate": 0.0004660780404004441, + "loss": 5.5823, + "mean_token_accuracy": 0.17704997807741166, + "num_tokens": 5523797.0, + "step": 2460 + }, + { + "entropy": 5.779816389083862, + "epoch": 2.6652244456462952, + "grad_norm": 0.82421875, + "learning_rate": 0.00046585121821249623, + "loss": 5.6018, + "mean_token_accuracy": 0.18384530395269394, + "num_tokens": 5535808.0, + "step": 2465 + }, + { + "entropy": 5.941058111190796, + "epoch": 2.670632774472688, + "grad_norm": 0.77734375, + "learning_rate": 0.00046562370247078025, + "loss": 5.693, + "mean_token_accuracy": 0.16583001911640166, + "num_tokens": 5548179.0, + "step": 2470 + }, + { + "entropy": 5.916377401351928, + "epoch": 2.6760411032990805, + "grad_norm": 0.80859375, + "learning_rate": 0.000465395494002089, + "loss": 5.7105, + "mean_token_accuracy": 0.16976383179426194, + "num_tokens": 5559144.0, + "step": 2475 + }, + { + "entropy": 5.826733827590942, + "epoch": 2.6814494321254734, + "grad_norm": 0.796875, + "learning_rate": 0.0004651665936357325, + "loss": 5.592, + "mean_token_accuracy": 0.1779371291399002, + "num_tokens": 5571103.0, + "step": 2480 + }, + { + "entropy": 5.8336090564727785, + "epoch": 2.686857760951866, + "grad_norm": 0.8203125, + "learning_rate": 0.0004649370022035354, + "loss": 5.5323, + "mean_token_accuracy": 0.17698664963245392, + "num_tokens": 5583239.0, + "step": 2485 + }, + { + "entropy": 5.794463396072388, + "epoch": 2.6922660897782587, + "grad_norm": 0.8828125, + "learning_rate": 0.0004647067205398332, + "loss": 5.5076, + "mean_token_accuracy": 0.17905741482973098, + "num_tokens": 5593602.0, + "step": 2490 + }, + { + "entropy": 5.913798856735229, + "epoch": 2.697674418604651, + "grad_norm": 0.87890625, + "learning_rate": 0.00046447574948147027, + "loss": 5.6733, + "mean_token_accuracy": 0.17029502838850022, + "num_tokens": 5604696.0, + "step": 2495 + }, + { + "entropy": 5.788999462127686, + "epoch": 2.703082747431044, + "grad_norm": 0.84765625, + "learning_rate": 0.00046424408986779587, + "loss": 5.6405, + "mean_token_accuracy": 0.16970723271369934, + "num_tokens": 5615668.0, + "step": 2500 + }, + { + "epoch": 2.703082747431044, + "eval_entropy": 5.768812253258445, + "eval_loss": 5.997067451477051, + "eval_mean_token_accuracy": 0.16798656996000896, + "eval_num_tokens": 5615668.0, + "eval_runtime": 3.5301, + "eval_samples_per_second": 995.734, + "eval_steps_per_second": 124.644, + "step": 2500 + }, + { + "entropy": 5.871507740020752, + "epoch": 2.7084910762574363, + "grad_norm": 0.79296875, + "learning_rate": 0.0004640117425406615, + "loss": 5.5861, + "mean_token_accuracy": 0.17402273416519165, + "num_tokens": 5627344.0, + "step": 2505 + }, + { + "entropy": 5.816973114013672, + "epoch": 2.713899405083829, + "grad_norm": 0.875, + "learning_rate": 0.000463778708344418, + "loss": 5.6162, + "mean_token_accuracy": 0.1698262020945549, + "num_tokens": 5637472.0, + "step": 2510 + }, + { + "entropy": 5.838492155075073, + "epoch": 2.7193077339102216, + "grad_norm": 0.921875, + "learning_rate": 0.00046354498812591207, + "loss": 5.593, + "mean_token_accuracy": 0.17822807133197785, + "num_tokens": 5647766.0, + "step": 2515 + }, + { + "entropy": 5.756899166107178, + "epoch": 2.7247160627366145, + "grad_norm": 0.84765625, + "learning_rate": 0.00046331058273448364, + "loss": 5.5315, + "mean_token_accuracy": 0.17876374572515488, + "num_tokens": 5658343.0, + "step": 2520 + }, + { + "entropy": 5.830268621444702, + "epoch": 2.730124391563007, + "grad_norm": 0.97265625, + "learning_rate": 0.0004630754930219624, + "loss": 5.5274, + "mean_token_accuracy": 0.17779684215784072, + "num_tokens": 5669640.0, + "step": 2525 + }, + { + "entropy": 5.722399377822876, + "epoch": 2.7355327203893998, + "grad_norm": 0.85546875, + "learning_rate": 0.0004628397198426648, + "loss": 5.5105, + "mean_token_accuracy": 0.17078663855791093, + "num_tokens": 5682421.0, + "step": 2530 + }, + { + "entropy": 5.80373067855835, + "epoch": 2.740941049215792, + "grad_norm": 0.875, + "learning_rate": 0.00046260326405339126, + "loss": 5.4883, + "mean_token_accuracy": 0.18236415833234787, + "num_tokens": 5692797.0, + "step": 2535 + }, + { + "entropy": 5.822386312484741, + "epoch": 2.746349378042185, + "grad_norm": 0.95703125, + "learning_rate": 0.0004623661265134226, + "loss": 5.6664, + "mean_token_accuracy": 0.17654704302549362, + "num_tokens": 5702779.0, + "step": 2540 + }, + { + "entropy": 5.918497848510742, + "epoch": 2.7517577068685775, + "grad_norm": 0.859375, + "learning_rate": 0.0004621283080845172, + "loss": 5.663, + "mean_token_accuracy": 0.17752265632152558, + "num_tokens": 5714147.0, + "step": 2545 + }, + { + "entropy": 5.775480699539185, + "epoch": 2.7571660356949703, + "grad_norm": 0.76953125, + "learning_rate": 0.00046188980963090783, + "loss": 5.4802, + "mean_token_accuracy": 0.18461580723524093, + "num_tokens": 5725718.0, + "step": 2550 + }, + { + "entropy": 5.782088947296143, + "epoch": 2.7625743645213627, + "grad_norm": 0.8359375, + "learning_rate": 0.00046165063201929825, + "loss": 5.5608, + "mean_token_accuracy": 0.18376427441835402, + "num_tokens": 5737441.0, + "step": 2555 + }, + { + "entropy": 5.866076374053955, + "epoch": 2.7679826933477556, + "grad_norm": 0.9140625, + "learning_rate": 0.00046141077611886074, + "loss": 5.6701, + "mean_token_accuracy": 0.17962786555290222, + "num_tokens": 5748735.0, + "step": 2560 + }, + { + "entropy": 5.876386070251465, + "epoch": 2.773391022174148, + "grad_norm": 0.83984375, + "learning_rate": 0.0004611702428012319, + "loss": 5.7241, + "mean_token_accuracy": 0.17184043377637864, + "num_tokens": 5760262.0, + "step": 2565 + }, + { + "entropy": 5.827700901031494, + "epoch": 2.778799351000541, + "grad_norm": 0.87890625, + "learning_rate": 0.00046092903294051057, + "loss": 5.6277, + "mean_token_accuracy": 0.17197844982147217, + "num_tokens": 5771909.0, + "step": 2570 + }, + { + "entropy": 5.746778774261474, + "epoch": 2.7842076798269337, + "grad_norm": 0.859375, + "learning_rate": 0.00046068714741325385, + "loss": 5.5074, + "mean_token_accuracy": 0.18136420100927353, + "num_tokens": 5782028.0, + "step": 2575 + }, + { + "entropy": 5.926895189285278, + "epoch": 2.789616008653326, + "grad_norm": 0.8984375, + "learning_rate": 0.0004604445870984743, + "loss": 5.6703, + "mean_token_accuracy": 0.17582763284444808, + "num_tokens": 5793641.0, + "step": 2580 + }, + { + "entropy": 5.88707127571106, + "epoch": 2.7950243374797186, + "grad_norm": 0.79296875, + "learning_rate": 0.0004602013528776367, + "loss": 5.6228, + "mean_token_accuracy": 0.17337359935045243, + "num_tokens": 5805392.0, + "step": 2585 + }, + { + "entropy": 5.856297540664673, + "epoch": 2.8004326663061114, + "grad_norm": 0.890625, + "learning_rate": 0.0004599574456346548, + "loss": 5.6008, + "mean_token_accuracy": 0.17427357882261277, + "num_tokens": 5816362.0, + "step": 2590 + }, + { + "entropy": 5.776535749435425, + "epoch": 2.8058409951325043, + "grad_norm": 0.828125, + "learning_rate": 0.00045971286625588796, + "loss": 5.5224, + "mean_token_accuracy": 0.18254357427358628, + "num_tokens": 5827518.0, + "step": 2595 + }, + { + "entropy": 5.925326108932495, + "epoch": 2.8112493239588967, + "grad_norm": 1.0078125, + "learning_rate": 0.0004594676156301383, + "loss": 5.6717, + "mean_token_accuracy": 0.17464789897203445, + "num_tokens": 5838455.0, + "step": 2600 + }, + { + "entropy": 5.769072771072388, + "epoch": 2.816657652785289, + "grad_norm": 0.8515625, + "learning_rate": 0.00045922169464864725, + "loss": 5.533, + "mean_token_accuracy": 0.18585131019353868, + "num_tokens": 5850065.0, + "step": 2605 + }, + { + "entropy": 5.866156673431396, + "epoch": 2.822065981611682, + "grad_norm": 0.87890625, + "learning_rate": 0.000458975104205092, + "loss": 5.6765, + "mean_token_accuracy": 0.16976690292358398, + "num_tokens": 5860444.0, + "step": 2610 + }, + { + "entropy": 5.939409828186035, + "epoch": 2.827474310438075, + "grad_norm": 0.8359375, + "learning_rate": 0.00045872784519558304, + "loss": 5.6545, + "mean_token_accuracy": 0.17222582846879958, + "num_tokens": 5873984.0, + "step": 2615 + }, + { + "entropy": 5.821524620056152, + "epoch": 2.8328826392644673, + "grad_norm": 0.8125, + "learning_rate": 0.0004584799185186599, + "loss": 5.6664, + "mean_token_accuracy": 0.17595746219158173, + "num_tokens": 5885807.0, + "step": 2620 + }, + { + "entropy": 5.802651500701904, + "epoch": 2.8382909680908597, + "grad_norm": 0.87890625, + "learning_rate": 0.00045823132507528903, + "loss": 5.5426, + "mean_token_accuracy": 0.1819417729973793, + "num_tokens": 5897122.0, + "step": 2625 + }, + { + "entropy": 5.7716185569763185, + "epoch": 2.8436992969172525, + "grad_norm": 0.85546875, + "learning_rate": 0.0004579820657688593, + "loss": 5.5491, + "mean_token_accuracy": 0.18012744039297104, + "num_tokens": 5909189.0, + "step": 2630 + }, + { + "entropy": 5.883975315093994, + "epoch": 2.8491076257436454, + "grad_norm": 0.9140625, + "learning_rate": 0.0004577321415051798, + "loss": 5.638, + "mean_token_accuracy": 0.1742127478122711, + "num_tokens": 5920135.0, + "step": 2635 + }, + { + "entropy": 5.859697246551514, + "epoch": 2.854515954570038, + "grad_norm": 0.8125, + "learning_rate": 0.00045748155319247564, + "loss": 5.621, + "mean_token_accuracy": 0.18195434361696244, + "num_tokens": 5932279.0, + "step": 2640 + }, + { + "entropy": 5.780061674118042, + "epoch": 2.8599242833964302, + "grad_norm": 0.84375, + "learning_rate": 0.0004572303017413856, + "loss": 5.5421, + "mean_token_accuracy": 0.17683554887771608, + "num_tokens": 5942082.0, + "step": 2645 + }, + { + "entropy": 5.877644157409668, + "epoch": 2.865332612222823, + "grad_norm": 0.87109375, + "learning_rate": 0.0004569783880649578, + "loss": 5.598, + "mean_token_accuracy": 0.175541952252388, + "num_tokens": 5952856.0, + "step": 2650 + }, + { + "entropy": 5.702970361709594, + "epoch": 2.870740941049216, + "grad_norm": 0.859375, + "learning_rate": 0.0004567258130786474, + "loss": 5.4833, + "mean_token_accuracy": 0.1861475631594658, + "num_tokens": 5963937.0, + "step": 2655 + }, + { + "entropy": 5.803145885467529, + "epoch": 2.8761492698756084, + "grad_norm": 0.94921875, + "learning_rate": 0.00045647257770031215, + "loss": 5.5817, + "mean_token_accuracy": 0.18028615266084672, + "num_tokens": 5974852.0, + "step": 2660 + }, + { + "entropy": 5.8312476634979244, + "epoch": 2.8815575987020012, + "grad_norm": 0.87890625, + "learning_rate": 0.00045621868285021023, + "loss": 5.5892, + "mean_token_accuracy": 0.18228398263454437, + "num_tokens": 5985616.0, + "step": 2665 + }, + { + "entropy": 5.847126150131226, + "epoch": 2.8869659275283936, + "grad_norm": 1.015625, + "learning_rate": 0.00045596412945099615, + "loss": 5.5403, + "mean_token_accuracy": 0.18726042956113814, + "num_tokens": 5997199.0, + "step": 2670 + }, + { + "entropy": 5.786398935317993, + "epoch": 2.8923742563547865, + "grad_norm": 0.81640625, + "learning_rate": 0.00045570891842771727, + "loss": 5.5987, + "mean_token_accuracy": 0.17823826968669892, + "num_tokens": 6008654.0, + "step": 2675 + }, + { + "entropy": 5.820050621032715, + "epoch": 2.897782585181179, + "grad_norm": 0.86328125, + "learning_rate": 0.00045545305070781135, + "loss": 5.6461, + "mean_token_accuracy": 0.17028469890356063, + "num_tokens": 6020662.0, + "step": 2680 + }, + { + "entropy": 5.89305157661438, + "epoch": 2.903190914007572, + "grad_norm": 0.8984375, + "learning_rate": 0.00045519652722110206, + "loss": 5.5322, + "mean_token_accuracy": 0.19578891694545747, + "num_tokens": 6031793.0, + "step": 2685 + }, + { + "entropy": 5.720826578140259, + "epoch": 2.908599242833964, + "grad_norm": 0.93359375, + "learning_rate": 0.00045493934889979655, + "loss": 5.5161, + "mean_token_accuracy": 0.18341525197029113, + "num_tokens": 6042181.0, + "step": 2690 + }, + { + "entropy": 5.687424802780152, + "epoch": 2.914007571660357, + "grad_norm": 0.84375, + "learning_rate": 0.00045468151667848116, + "loss": 5.4899, + "mean_token_accuracy": 0.18657083064317703, + "num_tokens": 6052774.0, + "step": 2695 + }, + { + "entropy": 5.909038496017456, + "epoch": 2.9194159004867495, + "grad_norm": 0.90234375, + "learning_rate": 0.000454423031494119, + "loss": 5.493, + "mean_token_accuracy": 0.1903107300400734, + "num_tokens": 6063273.0, + "step": 2700 + }, + { + "entropy": 5.680450582504273, + "epoch": 2.9248242293131423, + "grad_norm": 0.86328125, + "learning_rate": 0.0004541638942860458, + "loss": 5.4966, + "mean_token_accuracy": 0.18520134687423706, + "num_tokens": 6075121.0, + "step": 2705 + }, + { + "entropy": 5.692252206802368, + "epoch": 2.9302325581395348, + "grad_norm": 0.8203125, + "learning_rate": 0.0004539041059959667, + "loss": 5.4711, + "mean_token_accuracy": 0.18130189329385757, + "num_tokens": 6085666.0, + "step": 2710 + }, + { + "entropy": 5.8206319332122805, + "epoch": 2.9356408869659276, + "grad_norm": 0.90234375, + "learning_rate": 0.00045364366756795295, + "loss": 5.4994, + "mean_token_accuracy": 0.1884692370891571, + "num_tokens": 6096619.0, + "step": 2715 + }, + { + "entropy": 5.84162654876709, + "epoch": 2.94104921579232, + "grad_norm": 0.80859375, + "learning_rate": 0.00045338257994843845, + "loss": 5.6515, + "mean_token_accuracy": 0.1753935068845749, + "num_tokens": 6108800.0, + "step": 2720 + }, + { + "entropy": 5.802308082580566, + "epoch": 2.946457544618713, + "grad_norm": 0.83203125, + "learning_rate": 0.0004531208440862162, + "loss": 5.5638, + "mean_token_accuracy": 0.1790132462978363, + "num_tokens": 6119789.0, + "step": 2725 + }, + { + "entropy": 5.744951248168945, + "epoch": 2.9518658734451053, + "grad_norm": 0.86328125, + "learning_rate": 0.00045285846093243485, + "loss": 5.5479, + "mean_token_accuracy": 0.17773659080266951, + "num_tokens": 6131786.0, + "step": 2730 + }, + { + "entropy": 5.885506057739258, + "epoch": 2.957274202271498, + "grad_norm": 0.8828125, + "learning_rate": 0.00045259543144059557, + "loss": 5.6498, + "mean_token_accuracy": 0.17503989338874817, + "num_tokens": 6143012.0, + "step": 2735 + }, + { + "entropy": 5.773147869110107, + "epoch": 2.9626825310978906, + "grad_norm": 0.84765625, + "learning_rate": 0.0004523317565665479, + "loss": 5.5156, + "mean_token_accuracy": 0.1824488028883934, + "num_tokens": 6153972.0, + "step": 2740 + }, + { + "entropy": 5.858189439773559, + "epoch": 2.9680908599242835, + "grad_norm": 0.81640625, + "learning_rate": 0.00045206743726848716, + "loss": 5.6961, + "mean_token_accuracy": 0.17325770556926728, + "num_tokens": 6166202.0, + "step": 2745 + }, + { + "entropy": 5.743167352676392, + "epoch": 2.973499188750676, + "grad_norm": 0.8125, + "learning_rate": 0.0004518024745069502, + "loss": 5.4152, + "mean_token_accuracy": 0.19447794556617737, + "num_tokens": 6177253.0, + "step": 2750 + }, + { + "entropy": 5.760520029067993, + "epoch": 2.9789075175770687, + "grad_norm": 0.9453125, + "learning_rate": 0.0004515368692448123, + "loss": 5.682, + "mean_token_accuracy": 0.1684027850627899, + "num_tokens": 6188857.0, + "step": 2755 + }, + { + "entropy": 5.894824504852295, + "epoch": 2.9843158464034616, + "grad_norm": 0.9140625, + "learning_rate": 0.00045127062244728353, + "loss": 5.6525, + "mean_token_accuracy": 0.1678069680929184, + "num_tokens": 6199945.0, + "step": 2760 + }, + { + "entropy": 5.790930557250976, + "epoch": 2.989724175229854, + "grad_norm": 0.90625, + "learning_rate": 0.0004510037350819055, + "loss": 5.6274, + "mean_token_accuracy": 0.17852601408958435, + "num_tokens": 6209866.0, + "step": 2765 + }, + { + "entropy": 5.840263795852661, + "epoch": 2.9951325040562464, + "grad_norm": 0.73828125, + "learning_rate": 0.00045073620811854744, + "loss": 5.601, + "mean_token_accuracy": 0.1708589166402817, + "num_tokens": 6221636.0, + "step": 2770 + }, + { + "entropy": 5.786147753397624, + "epoch": 3.0, + "grad_norm": 1.890625, + "learning_rate": 0.00045046804252940294, + "loss": 5.4912, + "mean_token_accuracy": 0.17953668700324166, + "num_tokens": 6230667.0, + "step": 2775 + }, + { + "entropy": 5.775953054428101, + "epoch": 3.005408328826393, + "grad_norm": 0.87890625, + "learning_rate": 0.00045019923928898644, + "loss": 5.3137, + "mean_token_accuracy": 0.19720368832349777, + "num_tokens": 6242242.0, + "step": 2780 + }, + { + "entropy": 5.84576735496521, + "epoch": 3.0108166576527853, + "grad_norm": 0.93359375, + "learning_rate": 0.0004499297993741294, + "loss": 5.3426, + "mean_token_accuracy": 0.19166723936796187, + "num_tokens": 6253337.0, + "step": 2785 + }, + { + "entropy": 5.7105354309082035, + "epoch": 3.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.0004496597237639773, + "loss": 5.2496, + "mean_token_accuracy": 0.19138242602348327, + "num_tokens": 6264582.0, + "step": 2790 + }, + { + "entropy": 5.744516038894654, + "epoch": 3.0216333153055706, + "grad_norm": 0.875, + "learning_rate": 0.00044938901343998536, + "loss": 5.2704, + "mean_token_accuracy": 0.20015280097723007, + "num_tokens": 6276172.0, + "step": 2795 + }, + { + "entropy": 5.702597761154175, + "epoch": 3.0270416441319634, + "grad_norm": 0.9140625, + "learning_rate": 0.0004491176693859156, + "loss": 5.1496, + "mean_token_accuracy": 0.20553621798753738, + "num_tokens": 6286038.0, + "step": 2800 + }, + { + "entropy": 5.674466514587403, + "epoch": 3.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.0004488456925878329, + "loss": 5.2351, + "mean_token_accuracy": 0.19469217211008072, + "num_tokens": 6296546.0, + "step": 2805 + }, + { + "entropy": 5.761750411987305, + "epoch": 3.0378583017847487, + "grad_norm": 0.8515625, + "learning_rate": 0.00044857308403410163, + "loss": 5.3232, + "mean_token_accuracy": 0.19953671097755432, + "num_tokens": 6308001.0, + "step": 2810 + }, + { + "entropy": 5.761521577835083, + "epoch": 3.043266630611141, + "grad_norm": 0.765625, + "learning_rate": 0.00044829984471538183, + "loss": 5.3335, + "mean_token_accuracy": 0.19271712601184846, + "num_tokens": 6320896.0, + "step": 2815 + }, + { + "entropy": 5.754070854187011, + "epoch": 3.048674959437534, + "grad_norm": 0.78515625, + "learning_rate": 0.0004480259756246258, + "loss": 5.3847, + "mean_token_accuracy": 0.18835910707712172, + "num_tokens": 6332710.0, + "step": 2820 + }, + { + "entropy": 5.758888149261475, + "epoch": 3.0540832882639264, + "grad_norm": 0.92578125, + "learning_rate": 0.00044775147775707465, + "loss": 5.2553, + "mean_token_accuracy": 0.19560375809669495, + "num_tokens": 6343563.0, + "step": 2825 + }, + { + "entropy": 5.734629487991333, + "epoch": 3.0594916170903192, + "grad_norm": 0.9375, + "learning_rate": 0.000447476352110254, + "loss": 5.3814, + "mean_token_accuracy": 0.19167284071445465, + "num_tokens": 6354064.0, + "step": 2830 + }, + { + "entropy": 5.698854875564575, + "epoch": 3.0648999459167117, + "grad_norm": 0.8125, + "learning_rate": 0.0004472005996839712, + "loss": 5.2934, + "mean_token_accuracy": 0.19390958547592163, + "num_tokens": 6366551.0, + "step": 2835 + }, + { + "entropy": 5.695221996307373, + "epoch": 3.0703082747431045, + "grad_norm": 0.87890625, + "learning_rate": 0.0004469242214803112, + "loss": 5.2232, + "mean_token_accuracy": 0.19430456012487413, + "num_tokens": 6377086.0, + "step": 2840 + }, + { + "entropy": 5.7700074195861815, + "epoch": 3.075716603569497, + "grad_norm": 0.91015625, + "learning_rate": 0.0004466472185036331, + "loss": 5.328, + "mean_token_accuracy": 0.1926795169711113, + "num_tokens": 6388795.0, + "step": 2845 + }, + { + "entropy": 5.757317638397216, + "epoch": 3.08112493239589, + "grad_norm": 0.91015625, + "learning_rate": 0.0004463695917605663, + "loss": 5.3364, + "mean_token_accuracy": 0.19379594773054123, + "num_tokens": 6400174.0, + "step": 2850 + }, + { + "entropy": 5.687938547134399, + "epoch": 3.086533261222282, + "grad_norm": 0.890625, + "learning_rate": 0.000446091342260007, + "loss": 5.2597, + "mean_token_accuracy": 0.19438011348247528, + "num_tokens": 6411297.0, + "step": 2855 + }, + { + "entropy": 5.699021053314209, + "epoch": 3.091941590048675, + "grad_norm": 0.9140625, + "learning_rate": 0.0004458124710131145, + "loss": 5.2971, + "mean_token_accuracy": 0.1954619586467743, + "num_tokens": 6423487.0, + "step": 2860 + }, + { + "entropy": 5.821798658370971, + "epoch": 3.0973499188750675, + "grad_norm": 0.84765625, + "learning_rate": 0.00044553297903330766, + "loss": 5.5021, + "mean_token_accuracy": 0.18111297935247422, + "num_tokens": 6435460.0, + "step": 2865 + }, + { + "entropy": 5.81842942237854, + "epoch": 3.1027582477014604, + "grad_norm": 0.8984375, + "learning_rate": 0.00044525286733626085, + "loss": 5.4305, + "mean_token_accuracy": 0.19182252883911133, + "num_tokens": 6445664.0, + "step": 2870 + }, + { + "entropy": 5.742527818679809, + "epoch": 3.1081665765278528, + "grad_norm": 0.9921875, + "learning_rate": 0.0004449721369399008, + "loss": 5.2679, + "mean_token_accuracy": 0.19546485245227813, + "num_tokens": 6457182.0, + "step": 2875 + }, + { + "entropy": 5.655294704437256, + "epoch": 3.1135749053542456, + "grad_norm": 0.8359375, + "learning_rate": 0.00044469078886440227, + "loss": 5.1412, + "mean_token_accuracy": 0.20516275316476823, + "num_tokens": 6468378.0, + "step": 2880 + }, + { + "entropy": 5.666563653945923, + "epoch": 3.118983234180638, + "grad_norm": 0.8828125, + "learning_rate": 0.00044440882413218484, + "loss": 5.3755, + "mean_token_accuracy": 0.19009971916675567, + "num_tokens": 6479625.0, + "step": 2885 + }, + { + "entropy": 5.69419755935669, + "epoch": 3.124391563007031, + "grad_norm": 0.92578125, + "learning_rate": 0.00044412624376790905, + "loss": 5.2755, + "mean_token_accuracy": 0.19653896391391754, + "num_tokens": 6490713.0, + "step": 2890 + }, + { + "entropy": 5.609663391113282, + "epoch": 3.1297998918334233, + "grad_norm": 0.84375, + "learning_rate": 0.0004438430487984726, + "loss": 5.3221, + "mean_token_accuracy": 0.18166651725769042, + "num_tokens": 6502161.0, + "step": 2895 + }, + { + "entropy": 5.712747716903687, + "epoch": 3.135208220659816, + "grad_norm": 0.890625, + "learning_rate": 0.0004435592402530066, + "loss": 5.2324, + "mean_token_accuracy": 0.19632606953382492, + "num_tokens": 6513639.0, + "step": 2900 + }, + { + "entropy": 5.653345727920533, + "epoch": 3.1406165494862086, + "grad_norm": 0.91015625, + "learning_rate": 0.000443274819162872, + "loss": 5.2653, + "mean_token_accuracy": 0.19660175293684007, + "num_tokens": 6524893.0, + "step": 2905 + }, + { + "entropy": 5.592651271820069, + "epoch": 3.1460248783126015, + "grad_norm": 0.921875, + "learning_rate": 0.0004429897865616557, + "loss": 5.2409, + "mean_token_accuracy": 0.19942384511232375, + "num_tokens": 6535797.0, + "step": 2910 + }, + { + "entropy": 5.70519790649414, + "epoch": 3.151433207138994, + "grad_norm": 0.84375, + "learning_rate": 0.0004427041434851668, + "loss": 5.3629, + "mean_token_accuracy": 0.1893122002482414, + "num_tokens": 6547117.0, + "step": 2915 + }, + { + "entropy": 5.791764926910401, + "epoch": 3.1568415359653867, + "grad_norm": 0.86328125, + "learning_rate": 0.00044241789097143293, + "loss": 5.3986, + "mean_token_accuracy": 0.19074662029743195, + "num_tokens": 6558771.0, + "step": 2920 + }, + { + "entropy": 5.658868408203125, + "epoch": 3.162249864791779, + "grad_norm": 0.8828125, + "learning_rate": 0.00044213103006069635, + "loss": 5.3344, + "mean_token_accuracy": 0.1919943004846573, + "num_tokens": 6569922.0, + "step": 2925 + }, + { + "entropy": 5.756223583221436, + "epoch": 3.167658193618172, + "grad_norm": 0.953125, + "learning_rate": 0.00044184356179541035, + "loss": 5.3583, + "mean_token_accuracy": 0.19234999716281892, + "num_tokens": 6580561.0, + "step": 2930 + }, + { + "entropy": 5.651391172409058, + "epoch": 3.1730665224445644, + "grad_norm": 0.84375, + "learning_rate": 0.0004415554872202352, + "loss": 5.1829, + "mean_token_accuracy": 0.19829604923725128, + "num_tokens": 6591636.0, + "step": 2935 + }, + { + "entropy": 5.701524543762207, + "epoch": 3.1784748512709573, + "grad_norm": 0.890625, + "learning_rate": 0.00044126680738203466, + "loss": 5.4093, + "mean_token_accuracy": 0.1898488447070122, + "num_tokens": 6603736.0, + "step": 2940 + }, + { + "entropy": 5.842616081237793, + "epoch": 3.1838831800973497, + "grad_norm": 0.859375, + "learning_rate": 0.0004409775233298718, + "loss": 5.3315, + "mean_token_accuracy": 0.19555475413799286, + "num_tokens": 6615415.0, + "step": 2945 + }, + { + "entropy": 5.66992416381836, + "epoch": 3.1892915089237426, + "grad_norm": 0.88671875, + "learning_rate": 0.0004406876361150056, + "loss": 5.3804, + "mean_token_accuracy": 0.1857382357120514, + "num_tokens": 6625970.0, + "step": 2950 + }, + { + "entropy": 5.7360669612884525, + "epoch": 3.194699837750135, + "grad_norm": 0.9296875, + "learning_rate": 0.0004403971467908869, + "loss": 5.3318, + "mean_token_accuracy": 0.18936026096343994, + "num_tokens": 6636326.0, + "step": 2955 + }, + { + "entropy": 5.660694217681884, + "epoch": 3.200108166576528, + "grad_norm": 0.83984375, + "learning_rate": 0.0004401060564131545, + "loss": 5.3429, + "mean_token_accuracy": 0.18854644447565078, + "num_tokens": 6646825.0, + "step": 2960 + }, + { + "entropy": 5.723381900787354, + "epoch": 3.2055164954029207, + "grad_norm": 0.984375, + "learning_rate": 0.0004398143660396315, + "loss": 5.3293, + "mean_token_accuracy": 0.19304709732532502, + "num_tokens": 6657748.0, + "step": 2965 + }, + { + "entropy": 5.667957448959351, + "epoch": 3.210924824229313, + "grad_norm": 0.89453125, + "learning_rate": 0.0004395220767303215, + "loss": 5.2539, + "mean_token_accuracy": 0.1999385714530945, + "num_tokens": 6668422.0, + "step": 2970 + }, + { + "entropy": 5.734276485443115, + "epoch": 3.2163331530557056, + "grad_norm": 0.94921875, + "learning_rate": 0.0004392291895474045, + "loss": 5.3345, + "mean_token_accuracy": 0.18912182450294496, + "num_tokens": 6678898.0, + "step": 2975 + }, + { + "entropy": 5.777085161209106, + "epoch": 3.2217414818820984, + "grad_norm": 0.91796875, + "learning_rate": 0.0004389357055552331, + "loss": 5.3798, + "mean_token_accuracy": 0.1966140851378441, + "num_tokens": 6688691.0, + "step": 2980 + }, + { + "entropy": 5.637375545501709, + "epoch": 3.2271498107084913, + "grad_norm": 0.98828125, + "learning_rate": 0.00043864162582032897, + "loss": 5.2633, + "mean_token_accuracy": 0.2004222169518471, + "num_tokens": 6700279.0, + "step": 2985 + }, + { + "entropy": 5.660527753829956, + "epoch": 3.2325581395348837, + "grad_norm": 1.015625, + "learning_rate": 0.0004383469514113784, + "loss": 5.1931, + "mean_token_accuracy": 0.20055626332759857, + "num_tokens": 6710440.0, + "step": 2990 + }, + { + "entropy": 5.670192289352417, + "epoch": 3.2379664683612766, + "grad_norm": 0.9296875, + "learning_rate": 0.0004380516833992289, + "loss": 5.3683, + "mean_token_accuracy": 0.18947068601846695, + "num_tokens": 6722347.0, + "step": 2995 + }, + { + "entropy": 5.681786155700683, + "epoch": 3.243374797187669, + "grad_norm": 1.0390625, + "learning_rate": 0.000437755822856885, + "loss": 5.4017, + "mean_token_accuracy": 0.1939360350370407, + "num_tokens": 6732936.0, + "step": 3000 + }, + { + "epoch": 3.243374797187669, + "eval_entropy": 5.564755200256001, + "eval_loss": 5.958420753479004, + "eval_mean_token_accuracy": 0.17200287141075188, + "eval_num_tokens": 6732936.0, + "eval_runtime": 3.5257, + "eval_samples_per_second": 996.964, + "eval_steps_per_second": 124.798, + "step": 3000 + }, + { + "entropy": 5.69419264793396, + "epoch": 3.248783126014062, + "grad_norm": 0.890625, + "learning_rate": 0.0004374593708595049, + "loss": 5.4094, + "mean_token_accuracy": 0.19353188574314117, + "num_tokens": 6744552.0, + "step": 3005 + }, + { + "entropy": 5.771547460556031, + "epoch": 3.2541914548404542, + "grad_norm": 0.96875, + "learning_rate": 0.00043716232848439555, + "loss": 5.3354, + "mean_token_accuracy": 0.19333928674459458, + "num_tokens": 6755749.0, + "step": 3010 + }, + { + "entropy": 5.671427249908447, + "epoch": 3.259599783666847, + "grad_norm": 0.94140625, + "learning_rate": 0.00043686469681100985, + "loss": 5.264, + "mean_token_accuracy": 0.195198193192482, + "num_tokens": 6766119.0, + "step": 3015 + }, + { + "entropy": 5.613597774505616, + "epoch": 3.2650081124932395, + "grad_norm": 0.9375, + "learning_rate": 0.00043656647692094186, + "loss": 5.3204, + "mean_token_accuracy": 0.18876274228096007, + "num_tokens": 6776491.0, + "step": 3020 + }, + { + "entropy": 5.795355272293091, + "epoch": 3.2704164413196324, + "grad_norm": 0.90625, + "learning_rate": 0.0004362676698979233, + "loss": 5.4191, + "mean_token_accuracy": 0.1886429339647293, + "num_tokens": 6788795.0, + "step": 3025 + }, + { + "entropy": 5.788425588607788, + "epoch": 3.275824770146025, + "grad_norm": 0.83203125, + "learning_rate": 0.00043596827682781974, + "loss": 5.4312, + "mean_token_accuracy": 0.19093211144208908, + "num_tokens": 6799706.0, + "step": 3030 + }, + { + "entropy": 5.713137865066528, + "epoch": 3.2812330989724177, + "grad_norm": 0.85546875, + "learning_rate": 0.0004356682987986262, + "loss": 5.3456, + "mean_token_accuracy": 0.1885154128074646, + "num_tokens": 6812454.0, + "step": 3035 + }, + { + "entropy": 5.7139589309692385, + "epoch": 3.28664142779881, + "grad_norm": 0.9609375, + "learning_rate": 0.0004353677369004635, + "loss": 5.2795, + "mean_token_accuracy": 0.1961999014019966, + "num_tokens": 6823950.0, + "step": 3040 + }, + { + "entropy": 5.77326455116272, + "epoch": 3.292049756625203, + "grad_norm": 0.92578125, + "learning_rate": 0.00043506659222557426, + "loss": 5.4954, + "mean_token_accuracy": 0.18418579697608947, + "num_tokens": 6835028.0, + "step": 3045 + }, + { + "entropy": 5.659905576705933, + "epoch": 3.2974580854515954, + "grad_norm": 0.83203125, + "learning_rate": 0.000434764865868319, + "loss": 5.3572, + "mean_token_accuracy": 0.1901393324136734, + "num_tokens": 6846316.0, + "step": 3050 + }, + { + "entropy": 5.65548620223999, + "epoch": 3.302866414277988, + "grad_norm": 0.95703125, + "learning_rate": 0.000434462558925172, + "loss": 5.2931, + "mean_token_accuracy": 0.2012960657477379, + "num_tokens": 6856463.0, + "step": 3055 + }, + { + "entropy": 5.724829435348511, + "epoch": 3.3082747431043806, + "grad_norm": 0.8359375, + "learning_rate": 0.00043415967249471734, + "loss": 5.3243, + "mean_token_accuracy": 0.1975801855325699, + "num_tokens": 6867869.0, + "step": 3060 + }, + { + "entropy": 5.6754532814025875, + "epoch": 3.3136830719307735, + "grad_norm": 0.87109375, + "learning_rate": 0.000433856207677645, + "loss": 5.3017, + "mean_token_accuracy": 0.19414029717445375, + "num_tokens": 6878545.0, + "step": 3065 + }, + { + "entropy": 5.621609354019165, + "epoch": 3.319091400757166, + "grad_norm": 0.8359375, + "learning_rate": 0.000433552165576747, + "loss": 5.3517, + "mean_token_accuracy": 0.19075303226709367, + "num_tokens": 6889399.0, + "step": 3070 + }, + { + "entropy": 5.752235174179077, + "epoch": 3.3244997295835588, + "grad_norm": 0.9375, + "learning_rate": 0.00043324754729691275, + "loss": 5.3317, + "mean_token_accuracy": 0.1996409922838211, + "num_tokens": 6900428.0, + "step": 3075 + }, + { + "entropy": 5.820627021789551, + "epoch": 3.329908058409951, + "grad_norm": 0.8671875, + "learning_rate": 0.00043294235394512594, + "loss": 5.4489, + "mean_token_accuracy": 0.18546947836875916, + "num_tokens": 6911112.0, + "step": 3080 + }, + { + "entropy": 5.611655569076538, + "epoch": 3.335316387236344, + "grad_norm": 0.9453125, + "learning_rate": 0.0004326365866304599, + "loss": 5.2095, + "mean_token_accuracy": 0.2032056301832199, + "num_tokens": 6922383.0, + "step": 3085 + }, + { + "entropy": 5.669274568557739, + "epoch": 3.3407247160627365, + "grad_norm": 0.828125, + "learning_rate": 0.0004323302464640738, + "loss": 5.3961, + "mean_token_accuracy": 0.18529124259948732, + "num_tokens": 6935153.0, + "step": 3090 + }, + { + "entropy": 5.8112133026123045, + "epoch": 3.3461330448891293, + "grad_norm": 0.83984375, + "learning_rate": 0.00043202333455920843, + "loss": 5.4514, + "mean_token_accuracy": 0.18703726530075074, + "num_tokens": 6946814.0, + "step": 3095 + }, + { + "entropy": 5.68588342666626, + "epoch": 3.3515413737155217, + "grad_norm": 0.92578125, + "learning_rate": 0.0004317158520311824, + "loss": 5.2956, + "mean_token_accuracy": 0.19330791085958482, + "num_tokens": 6957230.0, + "step": 3100 + }, + { + "entropy": 5.581646871566773, + "epoch": 3.3569497025419146, + "grad_norm": 0.8515625, + "learning_rate": 0.0004314077999973879, + "loss": 5.3052, + "mean_token_accuracy": 0.18773041367530824, + "num_tokens": 6968060.0, + "step": 3105 + }, + { + "entropy": 5.675249195098877, + "epoch": 3.362358031368307, + "grad_norm": 0.90625, + "learning_rate": 0.0004310991795772869, + "loss": 5.2227, + "mean_token_accuracy": 0.19939267337322236, + "num_tokens": 6977782.0, + "step": 3110 + }, + { + "entropy": 5.698951387405396, + "epoch": 3.3677663601947, + "grad_norm": 0.9765625, + "learning_rate": 0.0004307899918924065, + "loss": 5.308, + "mean_token_accuracy": 0.19284514635801314, + "num_tokens": 6988252.0, + "step": 3115 + }, + { + "entropy": 5.711275100708008, + "epoch": 3.3731746890210923, + "grad_norm": 0.984375, + "learning_rate": 0.0004304802380663356, + "loss": 5.3178, + "mean_token_accuracy": 0.19082191735506057, + "num_tokens": 6998523.0, + "step": 3120 + }, + { + "entropy": 5.6842108249664305, + "epoch": 3.378583017847485, + "grad_norm": 0.87109375, + "learning_rate": 0.00043016991922472015, + "loss": 5.3499, + "mean_token_accuracy": 0.18608995378017426, + "num_tokens": 7010058.0, + "step": 3125 + }, + { + "entropy": 5.721271753311157, + "epoch": 3.383991346673878, + "grad_norm": 0.86328125, + "learning_rate": 0.00042985903649525977, + "loss": 5.4426, + "mean_token_accuracy": 0.18295274376869203, + "num_tokens": 7021289.0, + "step": 3130 + }, + { + "entropy": 5.824668645858765, + "epoch": 3.3893996755002704, + "grad_norm": 0.91796875, + "learning_rate": 0.00042954759100770275, + "loss": 5.4721, + "mean_token_accuracy": 0.18034785389900207, + "num_tokens": 7032649.0, + "step": 3135 + }, + { + "entropy": 5.740284824371338, + "epoch": 3.394808004326663, + "grad_norm": 0.9375, + "learning_rate": 0.00042923558389384303, + "loss": 5.3462, + "mean_token_accuracy": 0.19291579276323317, + "num_tokens": 7044120.0, + "step": 3140 + }, + { + "entropy": 5.675812435150147, + "epoch": 3.4002163331530557, + "grad_norm": 0.984375, + "learning_rate": 0.0004289230162875149, + "loss": 5.3373, + "mean_token_accuracy": 0.1933383896946907, + "num_tokens": 7054526.0, + "step": 3145 + }, + { + "entropy": 5.553069257736206, + "epoch": 3.4056246619794486, + "grad_norm": 0.93359375, + "learning_rate": 0.00042860988932458987, + "loss": 5.2047, + "mean_token_accuracy": 0.20529062896966935, + "num_tokens": 7064744.0, + "step": 3150 + }, + { + "entropy": 5.7465972900390625, + "epoch": 3.411032990805841, + "grad_norm": 0.82421875, + "learning_rate": 0.0004282962041429721, + "loss": 5.3288, + "mean_token_accuracy": 0.19247181862592697, + "num_tokens": 7076360.0, + "step": 3155 + }, + { + "entropy": 5.702290821075439, + "epoch": 3.4164413196322334, + "grad_norm": 0.953125, + "learning_rate": 0.00042798196188259427, + "loss": 5.3507, + "mean_token_accuracy": 0.197810398042202, + "num_tokens": 7088114.0, + "step": 3160 + }, + { + "entropy": 5.711839437484741, + "epoch": 3.4218496484586263, + "grad_norm": 0.83203125, + "learning_rate": 0.0004276671636854133, + "loss": 5.382, + "mean_token_accuracy": 0.18595191538333894, + "num_tokens": 7099125.0, + "step": 3165 + }, + { + "entropy": 5.714252567291259, + "epoch": 3.427257977285019, + "grad_norm": 0.82421875, + "learning_rate": 0.00042735181069540677, + "loss": 5.3241, + "mean_token_accuracy": 0.19867067486047746, + "num_tokens": 7109875.0, + "step": 3170 + }, + { + "entropy": 5.679116201400757, + "epoch": 3.4326663061114115, + "grad_norm": 0.828125, + "learning_rate": 0.0004270359040585681, + "loss": 5.3546, + "mean_token_accuracy": 0.19345322698354722, + "num_tokens": 7121388.0, + "step": 3175 + }, + { + "entropy": 5.695175409317017, + "epoch": 3.4380746349378044, + "grad_norm": 0.92578125, + "learning_rate": 0.00042671944492290277, + "loss": 5.3867, + "mean_token_accuracy": 0.18891119360923767, + "num_tokens": 7134161.0, + "step": 3180 + }, + { + "entropy": 5.680855226516724, + "epoch": 3.443482963764197, + "grad_norm": 0.91015625, + "learning_rate": 0.0004264024344384239, + "loss": 5.4019, + "mean_token_accuracy": 0.19104203283786775, + "num_tokens": 7146580.0, + "step": 3185 + }, + { + "entropy": 5.723768138885498, + "epoch": 3.4488912925905897, + "grad_norm": 0.94140625, + "learning_rate": 0.00042608487375714847, + "loss": 5.3258, + "mean_token_accuracy": 0.18677957803010942, + "num_tokens": 7156969.0, + "step": 3190 + }, + { + "entropy": 5.632949686050415, + "epoch": 3.454299621416982, + "grad_norm": 0.921875, + "learning_rate": 0.00042576676403309265, + "loss": 5.2689, + "mean_token_accuracy": 0.2009991616010666, + "num_tokens": 7168687.0, + "step": 3195 + }, + { + "entropy": 5.720569324493408, + "epoch": 3.459707950243375, + "grad_norm": 0.95703125, + "learning_rate": 0.0004254481064222679, + "loss": 5.3618, + "mean_token_accuracy": 0.1992029070854187, + "num_tokens": 7179996.0, + "step": 3200 + }, + { + "entropy": 5.7404012203216555, + "epoch": 3.4651162790697674, + "grad_norm": 0.890625, + "learning_rate": 0.00042512890208267677, + "loss": 5.3843, + "mean_token_accuracy": 0.1858539655804634, + "num_tokens": 7191214.0, + "step": 3205 + }, + { + "entropy": 5.71372799873352, + "epoch": 3.4705246078961602, + "grad_norm": 0.8828125, + "learning_rate": 0.00042480915217430853, + "loss": 5.4083, + "mean_token_accuracy": 0.1886027604341507, + "num_tokens": 7203491.0, + "step": 3210 + }, + { + "entropy": 5.724027013778686, + "epoch": 3.4759329367225527, + "grad_norm": 0.8984375, + "learning_rate": 0.00042448885785913507, + "loss": 5.3434, + "mean_token_accuracy": 0.18529798090457916, + "num_tokens": 7215018.0, + "step": 3215 + }, + { + "entropy": 5.675080108642578, + "epoch": 3.4813412655489455, + "grad_norm": 0.90234375, + "learning_rate": 0.00042416802030110677, + "loss": 5.3058, + "mean_token_accuracy": 0.19982714653015138, + "num_tokens": 7226209.0, + "step": 3220 + }, + { + "entropy": 5.681215381622314, + "epoch": 3.486749594375338, + "grad_norm": 0.890625, + "learning_rate": 0.00042384664066614787, + "loss": 5.3055, + "mean_token_accuracy": 0.19416655153036116, + "num_tokens": 7236505.0, + "step": 3225 + }, + { + "entropy": 5.5543177127838135, + "epoch": 3.492157923201731, + "grad_norm": 0.8125, + "learning_rate": 0.0004235247201221528, + "loss": 5.2026, + "mean_token_accuracy": 0.20201916843652726, + "num_tokens": 7247414.0, + "step": 3230 + }, + { + "entropy": 5.709533786773681, + "epoch": 3.497566252028123, + "grad_norm": 0.87890625, + "learning_rate": 0.0004232022598389816, + "loss": 5.414, + "mean_token_accuracy": 0.18973794132471083, + "num_tokens": 7258666.0, + "step": 3235 + }, + { + "entropy": 5.733735084533691, + "epoch": 3.502974580854516, + "grad_norm": 0.83984375, + "learning_rate": 0.0004228792609884557, + "loss": 5.3322, + "mean_token_accuracy": 0.19570078551769257, + "num_tokens": 7270201.0, + "step": 3240 + }, + { + "entropy": 5.686567735671997, + "epoch": 3.5083829096809085, + "grad_norm": 0.8984375, + "learning_rate": 0.00042255572474435364, + "loss": 5.3867, + "mean_token_accuracy": 0.18971844911575317, + "num_tokens": 7282254.0, + "step": 3245 + }, + { + "entropy": 5.726072883605957, + "epoch": 3.5137912385073014, + "grad_norm": 0.85546875, + "learning_rate": 0.0004222316522824069, + "loss": 5.4209, + "mean_token_accuracy": 0.1875574067234993, + "num_tokens": 7294579.0, + "step": 3250 + }, + { + "entropy": 5.674247169494629, + "epoch": 3.5191995673336938, + "grad_norm": 0.875, + "learning_rate": 0.0004219070447802955, + "loss": 5.3811, + "mean_token_accuracy": 0.18960184305906297, + "num_tokens": 7305822.0, + "step": 3255 + }, + { + "entropy": 5.775310277938843, + "epoch": 3.5246078961600866, + "grad_norm": 0.84765625, + "learning_rate": 0.00042158190341764384, + "loss": 5.4021, + "mean_token_accuracy": 0.18817628771066666, + "num_tokens": 7317543.0, + "step": 3260 + }, + { + "entropy": 5.6781822681427006, + "epoch": 3.530016224986479, + "grad_norm": 0.9140625, + "learning_rate": 0.00042125622937601645, + "loss": 5.3363, + "mean_token_accuracy": 0.1896511659026146, + "num_tokens": 7327804.0, + "step": 3265 + }, + { + "entropy": 5.694125604629517, + "epoch": 3.535424553812872, + "grad_norm": 0.90234375, + "learning_rate": 0.0004209300238389135, + "loss": 5.2936, + "mean_token_accuracy": 0.1985452502965927, + "num_tokens": 7337045.0, + "step": 3270 + }, + { + "entropy": 5.674904012680054, + "epoch": 3.5408328826392643, + "grad_norm": 0.859375, + "learning_rate": 0.0004206032879917667, + "loss": 5.3897, + "mean_token_accuracy": 0.19581838101148605, + "num_tokens": 7348184.0, + "step": 3275 + }, + { + "entropy": 5.6754368305206295, + "epoch": 3.546241211465657, + "grad_norm": 0.9765625, + "learning_rate": 0.0004202760230219348, + "loss": 5.2863, + "mean_token_accuracy": 0.19495007544755935, + "num_tokens": 7359571.0, + "step": 3280 + }, + { + "entropy": 5.638453149795533, + "epoch": 3.5516495402920496, + "grad_norm": 0.9140625, + "learning_rate": 0.00041994823011869955, + "loss": 5.3175, + "mean_token_accuracy": 0.19527029544115065, + "num_tokens": 7370429.0, + "step": 3285 + }, + { + "entropy": 5.66474928855896, + "epoch": 3.5570578691184425, + "grad_norm": 0.87890625, + "learning_rate": 0.00041961991047326116, + "loss": 5.2618, + "mean_token_accuracy": 0.19621153324842452, + "num_tokens": 7381569.0, + "step": 3290 + }, + { + "entropy": 5.630235958099365, + "epoch": 3.5624661979448353, + "grad_norm": 0.83203125, + "learning_rate": 0.0004192910652787338, + "loss": 5.2537, + "mean_token_accuracy": 0.19903503805398942, + "num_tokens": 7392746.0, + "step": 3295 + }, + { + "entropy": 5.699338436126709, + "epoch": 3.5678745267712277, + "grad_norm": 0.84375, + "learning_rate": 0.0004189616957301419, + "loss": 5.3764, + "mean_token_accuracy": 0.18029830902814864, + "num_tokens": 7405520.0, + "step": 3300 + }, + { + "entropy": 5.607436227798462, + "epoch": 3.57328285559762, + "grad_norm": 0.8515625, + "learning_rate": 0.0004186318030244149, + "loss": 5.3223, + "mean_token_accuracy": 0.19025534987449647, + "num_tokens": 7417788.0, + "step": 3305 + }, + { + "entropy": 5.680609178543091, + "epoch": 3.578691184424013, + "grad_norm": 0.984375, + "learning_rate": 0.00041830138836038383, + "loss": 5.4068, + "mean_token_accuracy": 0.1853346049785614, + "num_tokens": 7428912.0, + "step": 3310 + }, + { + "entropy": 5.7111168384552, + "epoch": 3.584099513250406, + "grad_norm": 0.92578125, + "learning_rate": 0.0004179704529387763, + "loss": 5.2737, + "mean_token_accuracy": 0.19536608308553696, + "num_tokens": 7439797.0, + "step": 3315 + }, + { + "entropy": 5.596440601348877, + "epoch": 3.5895078420767983, + "grad_norm": 0.90234375, + "learning_rate": 0.0004176389979622125, + "loss": 5.2704, + "mean_token_accuracy": 0.19136498868465424, + "num_tokens": 7451755.0, + "step": 3320 + }, + { + "entropy": 5.7032252788543705, + "epoch": 3.5949161709031907, + "grad_norm": 0.90234375, + "learning_rate": 0.0004173070246352003, + "loss": 5.3657, + "mean_token_accuracy": 0.19019594490528108, + "num_tokens": 7463393.0, + "step": 3325 + }, + { + "entropy": 5.645083808898926, + "epoch": 3.6003244997295836, + "grad_norm": 0.921875, + "learning_rate": 0.00041697453416413184, + "loss": 5.3032, + "mean_token_accuracy": 0.19092003405094146, + "num_tokens": 7474404.0, + "step": 3330 + }, + { + "entropy": 5.614504718780518, + "epoch": 3.6057328285559764, + "grad_norm": 0.8984375, + "learning_rate": 0.000416641527757278, + "loss": 5.3051, + "mean_token_accuracy": 0.1955208122730255, + "num_tokens": 7485495.0, + "step": 3335 + }, + { + "entropy": 5.602577114105225, + "epoch": 3.611141157382369, + "grad_norm": 0.9296875, + "learning_rate": 0.00041630800662478514, + "loss": 5.2578, + "mean_token_accuracy": 0.1999647542834282, + "num_tokens": 7497305.0, + "step": 3340 + }, + { + "entropy": 5.642804288864136, + "epoch": 3.6165494862087613, + "grad_norm": 0.88671875, + "learning_rate": 0.00041597397197866957, + "loss": 5.2042, + "mean_token_accuracy": 0.2022366017103195, + "num_tokens": 7509008.0, + "step": 3345 + }, + { + "entropy": 5.56644115447998, + "epoch": 3.621957815035154, + "grad_norm": 1.03125, + "learning_rate": 0.0004156394250328141, + "loss": 5.288, + "mean_token_accuracy": 0.19770007729530334, + "num_tokens": 7520079.0, + "step": 3350 + }, + { + "entropy": 5.598038148880005, + "epoch": 3.627366143861547, + "grad_norm": 0.80859375, + "learning_rate": 0.000415304367002963, + "loss": 5.29, + "mean_token_accuracy": 0.19738789498806, + "num_tokens": 7531294.0, + "step": 3355 + }, + { + "entropy": 5.634009170532226, + "epoch": 3.6327744726879394, + "grad_norm": 0.8671875, + "learning_rate": 0.00041496879910671796, + "loss": 5.3231, + "mean_token_accuracy": 0.1974948063492775, + "num_tokens": 7542508.0, + "step": 3360 + }, + { + "entropy": 5.683190965652466, + "epoch": 3.638182801514332, + "grad_norm": 1.0703125, + "learning_rate": 0.0004146327225635336, + "loss": 5.2837, + "mean_token_accuracy": 0.19979180991649628, + "num_tokens": 7553288.0, + "step": 3365 + }, + { + "entropy": 5.681000757217407, + "epoch": 3.6435911303407247, + "grad_norm": 0.96484375, + "learning_rate": 0.0004142961385947127, + "loss": 5.4655, + "mean_token_accuracy": 0.19177876263856888, + "num_tokens": 7564532.0, + "step": 3370 + }, + { + "entropy": 5.6698637962341305, + "epoch": 3.6489994591671175, + "grad_norm": 0.8984375, + "learning_rate": 0.00041395904842340215, + "loss": 5.2805, + "mean_token_accuracy": 0.1996176928281784, + "num_tokens": 7575109.0, + "step": 3375 + }, + { + "entropy": 5.593832540512085, + "epoch": 3.65440778799351, + "grad_norm": 0.84375, + "learning_rate": 0.0004136214532745887, + "loss": 5.2754, + "mean_token_accuracy": 0.1988567069172859, + "num_tokens": 7585871.0, + "step": 3380 + }, + { + "entropy": 5.717426919937134, + "epoch": 3.6598161168199024, + "grad_norm": 0.89453125, + "learning_rate": 0.0004132833543750936, + "loss": 5.3678, + "mean_token_accuracy": 0.19920488446950912, + "num_tokens": 7596821.0, + "step": 3385 + }, + { + "entropy": 5.580592441558838, + "epoch": 3.6652244456462952, + "grad_norm": 0.92578125, + "learning_rate": 0.00041294475295356917, + "loss": 5.2927, + "mean_token_accuracy": 0.1922448143362999, + "num_tokens": 7608101.0, + "step": 3390 + }, + { + "entropy": 5.6851887702941895, + "epoch": 3.670632774472688, + "grad_norm": 0.890625, + "learning_rate": 0.0004126056502404937, + "loss": 5.2963, + "mean_token_accuracy": 0.1860350713133812, + "num_tokens": 7618722.0, + "step": 3395 + }, + { + "entropy": 5.605044364929199, + "epoch": 3.6760411032990805, + "grad_norm": 0.89453125, + "learning_rate": 0.0004122660474681672, + "loss": 5.306, + "mean_token_accuracy": 0.19814881831407546, + "num_tokens": 7630061.0, + "step": 3400 + }, + { + "entropy": 5.663322687149048, + "epoch": 3.6814494321254734, + "grad_norm": 0.8984375, + "learning_rate": 0.00041192594587070706, + "loss": 5.3021, + "mean_token_accuracy": 0.19622568786144257, + "num_tokens": 7641830.0, + "step": 3405 + }, + { + "entropy": 5.652032899856567, + "epoch": 3.686857760951866, + "grad_norm": 0.85546875, + "learning_rate": 0.00041158534668404325, + "loss": 5.3313, + "mean_token_accuracy": 0.1957012414932251, + "num_tokens": 7652750.0, + "step": 3410 + }, + { + "entropy": 5.595523262023926, + "epoch": 3.6922660897782587, + "grad_norm": 0.89453125, + "learning_rate": 0.00041124425114591386, + "loss": 5.2408, + "mean_token_accuracy": 0.20421086102724076, + "num_tokens": 7663405.0, + "step": 3415 + }, + { + "entropy": 5.53755521774292, + "epoch": 3.697674418604651, + "grad_norm": 0.88671875, + "learning_rate": 0.00041090266049586107, + "loss": 5.2454, + "mean_token_accuracy": 0.19019141644239426, + "num_tokens": 7673958.0, + "step": 3420 + }, + { + "entropy": 5.595367527008056, + "epoch": 3.703082747431044, + "grad_norm": 0.828125, + "learning_rate": 0.0004105605759752258, + "loss": 5.2498, + "mean_token_accuracy": 0.19534795880317687, + "num_tokens": 7685475.0, + "step": 3425 + }, + { + "entropy": 5.550297975540161, + "epoch": 3.7084910762574363, + "grad_norm": 0.9296875, + "learning_rate": 0.00041021799882714436, + "loss": 5.2423, + "mean_token_accuracy": 0.19693287312984467, + "num_tokens": 7697296.0, + "step": 3430 + }, + { + "entropy": 5.658037567138672, + "epoch": 3.713899405083829, + "grad_norm": 0.8984375, + "learning_rate": 0.0004098749302965426, + "loss": 5.3877, + "mean_token_accuracy": 0.19491476863622664, + "num_tokens": 7709414.0, + "step": 3435 + }, + { + "entropy": 5.672684621810913, + "epoch": 3.7193077339102216, + "grad_norm": 0.86328125, + "learning_rate": 0.0004095313716301324, + "loss": 5.3649, + "mean_token_accuracy": 0.18477234989404678, + "num_tokens": 7720965.0, + "step": 3440 + }, + { + "entropy": 5.627675580978393, + "epoch": 3.7247160627366145, + "grad_norm": 0.87109375, + "learning_rate": 0.0004091873240764069, + "loss": 5.3158, + "mean_token_accuracy": 0.18891929984092712, + "num_tokens": 7733044.0, + "step": 3445 + }, + { + "entropy": 5.743028783798218, + "epoch": 3.730124391563007, + "grad_norm": 1.046875, + "learning_rate": 0.00040884278888563566, + "loss": 5.3172, + "mean_token_accuracy": 0.1957472950220108, + "num_tokens": 7743878.0, + "step": 3450 + }, + { + "entropy": 5.59826340675354, + "epoch": 3.7355327203893998, + "grad_norm": 0.94921875, + "learning_rate": 0.00040849776730986014, + "loss": 5.3012, + "mean_token_accuracy": 0.1986134171485901, + "num_tokens": 7755445.0, + "step": 3455 + }, + { + "entropy": 5.688895797729492, + "epoch": 3.740941049215792, + "grad_norm": 0.92578125, + "learning_rate": 0.0004081522606028899, + "loss": 5.3763, + "mean_token_accuracy": 0.18677901327610016, + "num_tokens": 7765990.0, + "step": 3460 + }, + { + "entropy": 5.577515697479248, + "epoch": 3.746349378042185, + "grad_norm": 0.8046875, + "learning_rate": 0.00040780627002029674, + "loss": 5.1684, + "mean_token_accuracy": 0.20449962615966796, + "num_tokens": 7777064.0, + "step": 3465 + }, + { + "entropy": 5.500732517242431, + "epoch": 3.7517577068685775, + "grad_norm": 0.86328125, + "learning_rate": 0.0004074597968194116, + "loss": 5.1971, + "mean_token_accuracy": 0.19851535111665725, + "num_tokens": 7788618.0, + "step": 3470 + }, + { + "entropy": 5.651279878616333, + "epoch": 3.7571660356949703, + "grad_norm": 0.93359375, + "learning_rate": 0.0004071128422593186, + "loss": 5.3285, + "mean_token_accuracy": 0.1883489266037941, + "num_tokens": 7798484.0, + "step": 3475 + }, + { + "entropy": 5.662864398956299, + "epoch": 3.7625743645213627, + "grad_norm": 0.921875, + "learning_rate": 0.0004067654076008515, + "loss": 5.2988, + "mean_token_accuracy": 0.19100126326084138, + "num_tokens": 7810270.0, + "step": 3480 + }, + { + "entropy": 5.569951772689819, + "epoch": 3.7679826933477556, + "grad_norm": 0.84765625, + "learning_rate": 0.00040641749410658877, + "loss": 5.3869, + "mean_token_accuracy": 0.18685653656721116, + "num_tokens": 7822616.0, + "step": 3485 + }, + { + "entropy": 5.70475025177002, + "epoch": 3.773391022174148, + "grad_norm": 0.859375, + "learning_rate": 0.0004060691030408487, + "loss": 5.3052, + "mean_token_accuracy": 0.19388724565505983, + "num_tokens": 7834933.0, + "step": 3490 + }, + { + "entropy": 5.707274723052978, + "epoch": 3.778799351000541, + "grad_norm": 0.9140625, + "learning_rate": 0.00040572023566968536, + "loss": 5.339, + "mean_token_accuracy": 0.19112299680709838, + "num_tokens": 7847686.0, + "step": 3495 + }, + { + "entropy": 5.60497555732727, + "epoch": 3.7842076798269337, + "grad_norm": 0.890625, + "learning_rate": 0.00040537089326088345, + "loss": 5.2943, + "mean_token_accuracy": 0.19179562628269195, + "num_tokens": 7859087.0, + "step": 3500 + }, + { + "epoch": 3.7842076798269337, + "eval_entropy": 5.523230028152466, + "eval_loss": 5.890049934387207, + "eval_mean_token_accuracy": 0.1753515634601089, + "eval_num_tokens": 7859087.0, + "eval_runtime": 3.5412, + "eval_samples_per_second": 992.606, + "eval_steps_per_second": 124.252, + "step": 3500 + }, + { + "entropy": 5.651162815093994, + "epoch": 3.789616008653326, + "grad_norm": 0.93359375, + "learning_rate": 0.0004050210770839541, + "loss": 5.3867, + "mean_token_accuracy": 0.1891338646411896, + "num_tokens": 7870684.0, + "step": 3505 + }, + { + "entropy": 5.663752794265747, + "epoch": 3.7950243374797186, + "grad_norm": 0.921875, + "learning_rate": 0.0004046707884101303, + "loss": 5.2793, + "mean_token_accuracy": 0.19717731028795243, + "num_tokens": 7880017.0, + "step": 3510 + }, + { + "entropy": 5.494886875152588, + "epoch": 3.8004326663061114, + "grad_norm": 0.921875, + "learning_rate": 0.00040432002851236164, + "loss": 5.2312, + "mean_token_accuracy": 0.1946556493639946, + "num_tokens": 7891751.0, + "step": 3515 + }, + { + "entropy": 5.730977964401245, + "epoch": 3.8058409951325043, + "grad_norm": 0.90625, + "learning_rate": 0.0004039687986653106, + "loss": 5.3718, + "mean_token_accuracy": 0.19073515385389328, + "num_tokens": 7902602.0, + "step": 3520 + }, + { + "entropy": 5.607116603851319, + "epoch": 3.8112493239588967, + "grad_norm": 0.93359375, + "learning_rate": 0.00040361710014534714, + "loss": 5.2796, + "mean_token_accuracy": 0.19078059792518615, + "num_tokens": 7913548.0, + "step": 3525 + }, + { + "entropy": 5.673289680480957, + "epoch": 3.816657652785289, + "grad_norm": 0.921875, + "learning_rate": 0.0004032649342305445, + "loss": 5.2957, + "mean_token_accuracy": 0.19233772307634353, + "num_tokens": 7925042.0, + "step": 3530 + }, + { + "entropy": 5.711692953109742, + "epoch": 3.822065981611682, + "grad_norm": 0.8515625, + "learning_rate": 0.0004029123022006745, + "loss": 5.3335, + "mean_token_accuracy": 0.18915214389562607, + "num_tokens": 7937113.0, + "step": 3535 + }, + { + "entropy": 5.652947950363159, + "epoch": 3.827474310438075, + "grad_norm": 0.90625, + "learning_rate": 0.0004025592053372027, + "loss": 5.2694, + "mean_token_accuracy": 0.2026963084936142, + "num_tokens": 7947796.0, + "step": 3540 + }, + { + "entropy": 5.623374080657959, + "epoch": 3.8328826392644673, + "grad_norm": 0.98828125, + "learning_rate": 0.0004022056449232839, + "loss": 5.2995, + "mean_token_accuracy": 0.19341660887002946, + "num_tokens": 7959642.0, + "step": 3545 + }, + { + "entropy": 5.640952634811401, + "epoch": 3.8382909680908597, + "grad_norm": 0.8828125, + "learning_rate": 0.0004018516222437575, + "loss": 5.2798, + "mean_token_accuracy": 0.19453998208045958, + "num_tokens": 7969996.0, + "step": 3550 + }, + { + "entropy": 5.581825494766235, + "epoch": 3.8436992969172525, + "grad_norm": 0.8671875, + "learning_rate": 0.0004014971385851428, + "loss": 5.2408, + "mean_token_accuracy": 0.19880991876125337, + "num_tokens": 7980079.0, + "step": 3555 + }, + { + "entropy": 5.623220825195313, + "epoch": 3.8491076257436454, + "grad_norm": 0.90234375, + "learning_rate": 0.000401142195235634, + "loss": 5.325, + "mean_token_accuracy": 0.19438304305076598, + "num_tokens": 7990453.0, + "step": 3560 + }, + { + "entropy": 5.727757740020752, + "epoch": 3.854515954570038, + "grad_norm": 0.95703125, + "learning_rate": 0.0004007867934850963, + "loss": 5.3987, + "mean_token_accuracy": 0.1930052548646927, + "num_tokens": 8001810.0, + "step": 3565 + }, + { + "entropy": 5.698228025436402, + "epoch": 3.8599242833964302, + "grad_norm": 0.921875, + "learning_rate": 0.0004004309346250603, + "loss": 5.3031, + "mean_token_accuracy": 0.20141524076461792, + "num_tokens": 8011821.0, + "step": 3570 + }, + { + "entropy": 5.57270450592041, + "epoch": 3.865332612222823, + "grad_norm": 0.84375, + "learning_rate": 0.0004000746199487181, + "loss": 5.2581, + "mean_token_accuracy": 0.2031795024871826, + "num_tokens": 8024106.0, + "step": 3575 + }, + { + "entropy": 5.552900791168213, + "epoch": 3.870740941049216, + "grad_norm": 0.83984375, + "learning_rate": 0.000399717850750918, + "loss": 5.2672, + "mean_token_accuracy": 0.1990682989358902, + "num_tokens": 8035630.0, + "step": 3580 + }, + { + "entropy": 5.662913036346436, + "epoch": 3.8761492698756084, + "grad_norm": 0.87890625, + "learning_rate": 0.00039936062832816, + "loss": 5.312, + "mean_token_accuracy": 0.19794627726078035, + "num_tokens": 8047130.0, + "step": 3585 + }, + { + "entropy": 5.587694454193115, + "epoch": 3.8815575987020012, + "grad_norm": 0.93359375, + "learning_rate": 0.0003990029539785913, + "loss": 5.2595, + "mean_token_accuracy": 0.19099850654602052, + "num_tokens": 8059484.0, + "step": 3590 + }, + { + "entropy": 5.670936346054077, + "epoch": 3.8869659275283936, + "grad_norm": 0.96484375, + "learning_rate": 0.00039864482900200135, + "loss": 5.363, + "mean_token_accuracy": 0.1892279639840126, + "num_tokens": 8069467.0, + "step": 3595 + }, + { + "entropy": 5.741135978698731, + "epoch": 3.8923742563547865, + "grad_norm": 0.9765625, + "learning_rate": 0.0003982862546998169, + "loss": 5.364, + "mean_token_accuracy": 0.19609155356884003, + "num_tokens": 8081390.0, + "step": 3600 + }, + { + "entropy": 5.568446207046509, + "epoch": 3.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0003979272323750981, + "loss": 5.176, + "mean_token_accuracy": 0.2089977264404297, + "num_tokens": 8091202.0, + "step": 3605 + }, + { + "entropy": 5.581784439086914, + "epoch": 3.903190914007572, + "grad_norm": 0.91796875, + "learning_rate": 0.0003975677633325327, + "loss": 5.291, + "mean_token_accuracy": 0.1949166789650917, + "num_tokens": 8101900.0, + "step": 3610 + }, + { + "entropy": 5.627234554290771, + "epoch": 3.908599242833964, + "grad_norm": 0.87890625, + "learning_rate": 0.0003972078488784321, + "loss": 5.3106, + "mean_token_accuracy": 0.18876059502363204, + "num_tokens": 8114500.0, + "step": 3615 + }, + { + "entropy": 5.599054527282715, + "epoch": 3.914007571660357, + "grad_norm": 0.875, + "learning_rate": 0.0003968474903207263, + "loss": 5.1881, + "mean_token_accuracy": 0.2103382408618927, + "num_tokens": 8125319.0, + "step": 3620 + }, + { + "entropy": 5.667600011825561, + "epoch": 3.9194159004867495, + "grad_norm": 0.8984375, + "learning_rate": 0.0003964866889689592, + "loss": 5.3933, + "mean_token_accuracy": 0.19413406401872635, + "num_tokens": 8137077.0, + "step": 3625 + }, + { + "entropy": 5.561121892929077, + "epoch": 3.9248242293131423, + "grad_norm": 0.9453125, + "learning_rate": 0.0003961254461342834, + "loss": 5.2379, + "mean_token_accuracy": 0.19667590111494065, + "num_tokens": 8148430.0, + "step": 3630 + }, + { + "entropy": 5.592974662780762, + "epoch": 3.9302325581395348, + "grad_norm": 0.83984375, + "learning_rate": 0.0003957637631294566, + "loss": 5.2628, + "mean_token_accuracy": 0.19850500375032426, + "num_tokens": 8159250.0, + "step": 3635 + }, + { + "entropy": 5.667021369934082, + "epoch": 3.9356408869659276, + "grad_norm": 0.953125, + "learning_rate": 0.00039540164126883554, + "loss": 5.3575, + "mean_token_accuracy": 0.1913460075855255, + "num_tokens": 8170177.0, + "step": 3640 + }, + { + "entropy": 5.6899487495422365, + "epoch": 3.94104921579232, + "grad_norm": 0.92578125, + "learning_rate": 0.0003950390818683718, + "loss": 5.2979, + "mean_token_accuracy": 0.19830988496541976, + "num_tokens": 8181351.0, + "step": 3645 + }, + { + "entropy": 5.598061227798462, + "epoch": 3.946457544618713, + "grad_norm": 0.76953125, + "learning_rate": 0.0003946760862456071, + "loss": 5.3059, + "mean_token_accuracy": 0.19724066853523253, + "num_tokens": 8193472.0, + "step": 3650 + }, + { + "entropy": 5.636629962921143, + "epoch": 3.9518658734451053, + "grad_norm": 0.85546875, + "learning_rate": 0.0003943126557196685, + "loss": 5.4095, + "mean_token_accuracy": 0.20111747235059738, + "num_tokens": 8205449.0, + "step": 3655 + }, + { + "entropy": 5.554954242706299, + "epoch": 3.957274202271498, + "grad_norm": 0.859375, + "learning_rate": 0.00039394879161126333, + "loss": 5.1324, + "mean_token_accuracy": 0.2015075147151947, + "num_tokens": 8216520.0, + "step": 3660 + }, + { + "entropy": 5.64744815826416, + "epoch": 3.9626825310978906, + "grad_norm": 0.9296875, + "learning_rate": 0.0003935844952426745, + "loss": 5.3717, + "mean_token_accuracy": 0.18534173518419267, + "num_tokens": 8228727.0, + "step": 3665 + }, + { + "entropy": 5.6714146614074705, + "epoch": 3.9680908599242835, + "grad_norm": 0.94140625, + "learning_rate": 0.00039321976793775586, + "loss": 5.2687, + "mean_token_accuracy": 0.19557962864637374, + "num_tokens": 8240423.0, + "step": 3670 + }, + { + "entropy": 5.5574095249176025, + "epoch": 3.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 0.0003928546110219275, + "loss": 5.2003, + "mean_token_accuracy": 0.19956401586532593, + "num_tokens": 8252757.0, + "step": 3675 + }, + { + "entropy": 5.443890190124511, + "epoch": 3.9789075175770687, + "grad_norm": 0.86328125, + "learning_rate": 0.00039248902582217024, + "loss": 5.1899, + "mean_token_accuracy": 0.198175610601902, + "num_tokens": 8263462.0, + "step": 3680 + }, + { + "entropy": 5.540591049194336, + "epoch": 3.9843158464034616, + "grad_norm": 0.9921875, + "learning_rate": 0.00039212301366702153, + "loss": 5.2527, + "mean_token_accuracy": 0.19623720049858093, + "num_tokens": 8274364.0, + "step": 3685 + }, + { + "entropy": 5.638958740234375, + "epoch": 3.989724175229854, + "grad_norm": 0.84765625, + "learning_rate": 0.00039175657588657063, + "loss": 5.2757, + "mean_token_accuracy": 0.19483605027198792, + "num_tokens": 8286026.0, + "step": 3690 + }, + { + "entropy": 5.681791591644287, + "epoch": 3.9951325040562464, + "grad_norm": 0.87109375, + "learning_rate": 0.0003913897138124531, + "loss": 5.3231, + "mean_token_accuracy": 0.19580954015254975, + "num_tokens": 8297990.0, + "step": 3695 + }, + { + "entropy": 5.670732233259413, + "epoch": 4.0, + "grad_norm": 2.0, + "learning_rate": 0.0003910224287778466, + "loss": 5.3577, + "mean_token_accuracy": 0.18696142733097076, + "num_tokens": 8307556.0, + "step": 3700 + }, + { + "entropy": 5.594685459136963, + "epoch": 4.005408328826393, + "grad_norm": 0.94921875, + "learning_rate": 0.00039065472211746586, + "loss": 5.1159, + "mean_token_accuracy": 0.20600400269031524, + "num_tokens": 8320805.0, + "step": 3705 + }, + { + "entropy": 5.621187353134156, + "epoch": 4.010816657652786, + "grad_norm": 0.9375, + "learning_rate": 0.0003902865951675576, + "loss": 5.1022, + "mean_token_accuracy": 0.20499833077192306, + "num_tokens": 8332390.0, + "step": 3710 + }, + { + "entropy": 5.569980239868164, + "epoch": 4.016224986479178, + "grad_norm": 0.94921875, + "learning_rate": 0.00038991804926589616, + "loss": 5.0016, + "mean_token_accuracy": 0.20818119943141938, + "num_tokens": 8342325.0, + "step": 3715 + }, + { + "entropy": 5.6370457172393795, + "epoch": 4.0216333153055706, + "grad_norm": 0.91796875, + "learning_rate": 0.000389549085751778, + "loss": 5.035, + "mean_token_accuracy": 0.21315674483776093, + "num_tokens": 8352115.0, + "step": 3720 + }, + { + "entropy": 5.6402758121490475, + "epoch": 4.027041644131963, + "grad_norm": 0.921875, + "learning_rate": 0.00038917970596601765, + "loss": 5.1069, + "mean_token_accuracy": 0.21209613382816314, + "num_tokens": 8364265.0, + "step": 3725 + }, + { + "entropy": 5.705170488357544, + "epoch": 4.032449972958356, + "grad_norm": 0.9296875, + "learning_rate": 0.0003888099112509419, + "loss": 5.0779, + "mean_token_accuracy": 0.21012381911277772, + "num_tokens": 8375979.0, + "step": 3730 + }, + { + "entropy": 5.606539535522461, + "epoch": 4.037858301784748, + "grad_norm": 0.875, + "learning_rate": 0.00038843970295038564, + "loss": 5.053, + "mean_token_accuracy": 0.21184056252241135, + "num_tokens": 8387794.0, + "step": 3735 + }, + { + "entropy": 5.565236616134643, + "epoch": 4.043266630611141, + "grad_norm": 0.890625, + "learning_rate": 0.00038806908240968666, + "loss": 4.9683, + "mean_token_accuracy": 0.21545963287353515, + "num_tokens": 8398796.0, + "step": 3740 + }, + { + "entropy": 5.570811939239502, + "epoch": 4.048674959437534, + "grad_norm": 0.921875, + "learning_rate": 0.000387698050975681, + "loss": 5.0575, + "mean_token_accuracy": 0.21631220132112502, + "num_tokens": 8408788.0, + "step": 3745 + }, + { + "entropy": 5.640817546844483, + "epoch": 4.054083288263927, + "grad_norm": 0.91796875, + "learning_rate": 0.0003873266099966976, + "loss": 5.077, + "mean_token_accuracy": 0.20749575942754744, + "num_tokens": 8420373.0, + "step": 3750 + }, + { + "entropy": 5.547187423706054, + "epoch": 4.059491617090319, + "grad_norm": 0.87890625, + "learning_rate": 0.00038695476082255395, + "loss": 5.0635, + "mean_token_accuracy": 0.21502292454242705, + "num_tokens": 8430399.0, + "step": 3755 + }, + { + "entropy": 5.638990688323974, + "epoch": 4.064899945916712, + "grad_norm": 0.81640625, + "learning_rate": 0.0003865825048045507, + "loss": 5.1343, + "mean_token_accuracy": 0.20479972064495086, + "num_tokens": 8442649.0, + "step": 3760 + }, + { + "entropy": 5.746016788482666, + "epoch": 4.0703082747431045, + "grad_norm": 0.88671875, + "learning_rate": 0.0003862098432954672, + "loss": 5.1662, + "mean_token_accuracy": 0.20147386342287063, + "num_tokens": 8453985.0, + "step": 3765 + }, + { + "entropy": 5.646367692947388, + "epoch": 4.075716603569497, + "grad_norm": 0.9375, + "learning_rate": 0.0003858367776495561, + "loss": 5.1866, + "mean_token_accuracy": 0.20267382115125657, + "num_tokens": 8465566.0, + "step": 3770 + }, + { + "entropy": 5.561671733856201, + "epoch": 4.081124932395889, + "grad_norm": 0.96484375, + "learning_rate": 0.00038546330922253886, + "loss": 4.9771, + "mean_token_accuracy": 0.22253454774618148, + "num_tokens": 8477426.0, + "step": 3775 + }, + { + "entropy": 5.550774335861206, + "epoch": 4.086533261222282, + "grad_norm": 0.8515625, + "learning_rate": 0.0003850894393716007, + "loss": 5.0868, + "mean_token_accuracy": 0.20939560383558273, + "num_tokens": 8489654.0, + "step": 3780 + }, + { + "entropy": 5.518771600723267, + "epoch": 4.091941590048675, + "grad_norm": 0.9453125, + "learning_rate": 0.0003847151694553855, + "loss": 5.0456, + "mean_token_accuracy": 0.2071119427680969, + "num_tokens": 8500398.0, + "step": 3785 + }, + { + "entropy": 5.551463937759399, + "epoch": 4.097349918875068, + "grad_norm": 0.87109375, + "learning_rate": 0.0003843405008339908, + "loss": 4.9941, + "mean_token_accuracy": 0.20867300927639007, + "num_tokens": 8511974.0, + "step": 3790 + }, + { + "entropy": 5.594903993606567, + "epoch": 4.10275824770146, + "grad_norm": 1.046875, + "learning_rate": 0.00038396543486896354, + "loss": 5.0787, + "mean_token_accuracy": 0.21112921983003616, + "num_tokens": 8523140.0, + "step": 3795 + }, + { + "entropy": 5.536909532546997, + "epoch": 4.108166576527853, + "grad_norm": 0.8984375, + "learning_rate": 0.00038358997292329406, + "loss": 5.0614, + "mean_token_accuracy": 0.21375230997800826, + "num_tokens": 8534261.0, + "step": 3800 + }, + { + "entropy": 5.646812105178833, + "epoch": 4.113574905354246, + "grad_norm": 0.91015625, + "learning_rate": 0.00038321411636141214, + "loss": 5.1343, + "mean_token_accuracy": 0.20292503237724305, + "num_tokens": 8544620.0, + "step": 3805 + }, + { + "entropy": 5.565939712524414, + "epoch": 4.1189832341806385, + "grad_norm": 0.96484375, + "learning_rate": 0.0003828378665491811, + "loss": 5.086, + "mean_token_accuracy": 0.20964807122945786, + "num_tokens": 8555427.0, + "step": 3810 + }, + { + "entropy": 5.575354290008545, + "epoch": 4.1243915630070305, + "grad_norm": 0.87890625, + "learning_rate": 0.000382461224853894, + "loss": 5.0381, + "mean_token_accuracy": 0.21237004548311234, + "num_tokens": 8566956.0, + "step": 3815 + }, + { + "entropy": 5.618250799179077, + "epoch": 4.129799891833423, + "grad_norm": 0.95703125, + "learning_rate": 0.0003820841926442674, + "loss": 5.2046, + "mean_token_accuracy": 0.20202476978302003, + "num_tokens": 8579373.0, + "step": 3820 + }, + { + "entropy": 5.526768350601197, + "epoch": 4.135208220659816, + "grad_norm": 0.8828125, + "learning_rate": 0.0003817067712904372, + "loss": 5.0021, + "mean_token_accuracy": 0.2116176024079323, + "num_tokens": 8590979.0, + "step": 3825 + }, + { + "entropy": 5.543919229507447, + "epoch": 4.140616549486209, + "grad_norm": 0.91015625, + "learning_rate": 0.00038132896216395355, + "loss": 5.0554, + "mean_token_accuracy": 0.20776492953300477, + "num_tokens": 8602514.0, + "step": 3830 + }, + { + "entropy": 5.5103600025177, + "epoch": 4.146024878312601, + "grad_norm": 1.0390625, + "learning_rate": 0.0003809507666377758, + "loss": 5.0071, + "mean_token_accuracy": 0.21537818014621735, + "num_tokens": 8613766.0, + "step": 3835 + }, + { + "entropy": 5.615996313095093, + "epoch": 4.151433207138994, + "grad_norm": 0.984375, + "learning_rate": 0.00038057218608626714, + "loss": 5.1436, + "mean_token_accuracy": 0.1966433897614479, + "num_tokens": 8625245.0, + "step": 3840 + }, + { + "entropy": 5.632936191558838, + "epoch": 4.156841535965387, + "grad_norm": 0.98046875, + "learning_rate": 0.0003801932218851903, + "loss": 5.0766, + "mean_token_accuracy": 0.21580771505832672, + "num_tokens": 8635653.0, + "step": 3845 + }, + { + "entropy": 5.504722547531128, + "epoch": 4.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.000379813875411702, + "loss": 5.0172, + "mean_token_accuracy": 0.20979683250188827, + "num_tokens": 8646671.0, + "step": 3850 + }, + { + "entropy": 5.506032943725586, + "epoch": 4.167658193618172, + "grad_norm": 0.984375, + "learning_rate": 0.00037943414804434826, + "loss": 4.9794, + "mean_token_accuracy": 0.21566243916749955, + "num_tokens": 8656441.0, + "step": 3855 + }, + { + "entropy": 5.541570949554443, + "epoch": 4.173066522444564, + "grad_norm": 0.953125, + "learning_rate": 0.0003790540411630592, + "loss": 5.0362, + "mean_token_accuracy": 0.21489110291004182, + "num_tokens": 8666632.0, + "step": 3860 + }, + { + "entropy": 5.5245226383209225, + "epoch": 4.178474851270957, + "grad_norm": 0.8984375, + "learning_rate": 0.00037867355614914404, + "loss": 5.1033, + "mean_token_accuracy": 0.21371882557868957, + "num_tokens": 8678269.0, + "step": 3865 + }, + { + "entropy": 5.582470369338989, + "epoch": 4.18388318009735, + "grad_norm": 0.91796875, + "learning_rate": 0.0003782926943852864, + "loss": 5.1114, + "mean_token_accuracy": 0.20679743885993956, + "num_tokens": 8690004.0, + "step": 3870 + }, + { + "entropy": 5.634443712234497, + "epoch": 4.189291508923742, + "grad_norm": 0.98046875, + "learning_rate": 0.00037791145725553853, + "loss": 5.139, + "mean_token_accuracy": 0.20164074897766113, + "num_tokens": 8702306.0, + "step": 3875 + }, + { + "entropy": 5.575648450851441, + "epoch": 4.194699837750135, + "grad_norm": 0.875, + "learning_rate": 0.0003775298461453172, + "loss": 5.1502, + "mean_token_accuracy": 0.20574383735656737, + "num_tokens": 8714070.0, + "step": 3880 + }, + { + "entropy": 5.568425273895263, + "epoch": 4.200108166576528, + "grad_norm": 0.84765625, + "learning_rate": 0.000377147862441398, + "loss": 5.0829, + "mean_token_accuracy": 0.21182692646980286, + "num_tokens": 8724433.0, + "step": 3885 + }, + { + "entropy": 5.552147626876831, + "epoch": 4.205516495402921, + "grad_norm": 0.94140625, + "learning_rate": 0.00037676550753191075, + "loss": 5.0323, + "mean_token_accuracy": 0.2166525885462761, + "num_tokens": 8735485.0, + "step": 3890 + }, + { + "entropy": 5.55499906539917, + "epoch": 4.210924824229313, + "grad_norm": 0.9921875, + "learning_rate": 0.0003763827828063339, + "loss": 5.0562, + "mean_token_accuracy": 0.19902590066194534, + "num_tokens": 8746356.0, + "step": 3895 + }, + { + "entropy": 5.5377504348754885, + "epoch": 4.2163331530557056, + "grad_norm": 0.9296875, + "learning_rate": 0.00037599968965549, + "loss": 5.0751, + "mean_token_accuracy": 0.20463165044784545, + "num_tokens": 8757667.0, + "step": 3900 + }, + { + "entropy": 5.524814605712891, + "epoch": 4.221741481882098, + "grad_norm": 0.921875, + "learning_rate": 0.0003756162294715405, + "loss": 5.0316, + "mean_token_accuracy": 0.21452374905347824, + "num_tokens": 8768565.0, + "step": 3905 + }, + { + "entropy": 5.509193229675293, + "epoch": 4.227149810708491, + "grad_norm": 0.8671875, + "learning_rate": 0.00037523240364798063, + "loss": 5.0591, + "mean_token_accuracy": 0.21244459748268127, + "num_tokens": 8779608.0, + "step": 3910 + }, + { + "entropy": 5.587919759750366, + "epoch": 4.232558139534884, + "grad_norm": 0.859375, + "learning_rate": 0.00037484821357963423, + "loss": 5.1131, + "mean_token_accuracy": 0.2109584853053093, + "num_tokens": 8791492.0, + "step": 3915 + }, + { + "entropy": 5.54430832862854, + "epoch": 4.237966468361276, + "grad_norm": 0.8515625, + "learning_rate": 0.000374463660662649, + "loss": 5.0908, + "mean_token_accuracy": 0.2086695611476898, + "num_tokens": 8803280.0, + "step": 3920 + }, + { + "entropy": 5.554611492156982, + "epoch": 4.243374797187669, + "grad_norm": 0.9296875, + "learning_rate": 0.000374078746294491, + "loss": 5.1382, + "mean_token_accuracy": 0.20818226635456086, + "num_tokens": 8814626.0, + "step": 3925 + }, + { + "entropy": 5.5655842304229735, + "epoch": 4.248783126014062, + "grad_norm": 0.96484375, + "learning_rate": 0.00037369347187393996, + "loss": 4.9754, + "mean_token_accuracy": 0.22211375534534455, + "num_tokens": 8825520.0, + "step": 3930 + }, + { + "entropy": 5.470966577529907, + "epoch": 4.254191454840455, + "grad_norm": 0.92578125, + "learning_rate": 0.0003733078388010842, + "loss": 4.9957, + "mean_token_accuracy": 0.2146727666258812, + "num_tokens": 8835980.0, + "step": 3935 + }, + { + "entropy": 5.611467504501343, + "epoch": 4.259599783666847, + "grad_norm": 0.921875, + "learning_rate": 0.0003729218484773149, + "loss": 5.1723, + "mean_token_accuracy": 0.19957948327064515, + "num_tokens": 8846714.0, + "step": 3940 + }, + { + "entropy": 5.60156774520874, + "epoch": 4.2650081124932395, + "grad_norm": 1.0078125, + "learning_rate": 0.0003725355023053221, + "loss": 5.1058, + "mean_token_accuracy": 0.2070922315120697, + "num_tokens": 8858215.0, + "step": 3945 + }, + { + "entropy": 5.52307276725769, + "epoch": 4.270416441319632, + "grad_norm": 0.84765625, + "learning_rate": 0.0003721488016890884, + "loss": 5.0119, + "mean_token_accuracy": 0.21522187143564225, + "num_tokens": 8870587.0, + "step": 3950 + }, + { + "entropy": 5.427456998825074, + "epoch": 4.275824770146025, + "grad_norm": 1.0390625, + "learning_rate": 0.00037176174803388496, + "loss": 5.0259, + "mean_token_accuracy": 0.2161127045750618, + "num_tokens": 8881335.0, + "step": 3955 + }, + { + "entropy": 5.459418058395386, + "epoch": 4.281233098972417, + "grad_norm": 0.8828125, + "learning_rate": 0.00037137434274626545, + "loss": 5.026, + "mean_token_accuracy": 0.21049747616052628, + "num_tokens": 8893294.0, + "step": 3960 + }, + { + "entropy": 5.628967714309693, + "epoch": 4.28664142779881, + "grad_norm": 0.98828125, + "learning_rate": 0.0003709865872340618, + "loss": 5.1275, + "mean_token_accuracy": 0.2062242344021797, + "num_tokens": 8903914.0, + "step": 3965 + }, + { + "entropy": 5.57897982597351, + "epoch": 4.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0003705984829063782, + "loss": 5.0929, + "mean_token_accuracy": 0.20352874249219893, + "num_tokens": 8915591.0, + "step": 3970 + }, + { + "entropy": 5.537923669815063, + "epoch": 4.297458085451596, + "grad_norm": 0.92578125, + "learning_rate": 0.0003702100311735869, + "loss": 5.0834, + "mean_token_accuracy": 0.20173001438379287, + "num_tokens": 8927031.0, + "step": 3975 + }, + { + "entropy": 5.520787096023559, + "epoch": 4.302866414277988, + "grad_norm": 0.90625, + "learning_rate": 0.00036982123344732223, + "loss": 5.02, + "mean_token_accuracy": 0.21347687095403672, + "num_tokens": 8937220.0, + "step": 3980 + }, + { + "entropy": 5.468257761001587, + "epoch": 4.308274743104381, + "grad_norm": 0.96875, + "learning_rate": 0.00036943209114047613, + "loss": 5.0216, + "mean_token_accuracy": 0.20727793425321578, + "num_tokens": 8948032.0, + "step": 3985 + }, + { + "entropy": 5.512820482254028, + "epoch": 4.3136830719307735, + "grad_norm": 0.84765625, + "learning_rate": 0.0003690426056671926, + "loss": 5.1196, + "mean_token_accuracy": 0.2027975559234619, + "num_tokens": 8960735.0, + "step": 3990 + }, + { + "entropy": 5.467561721801758, + "epoch": 4.319091400757166, + "grad_norm": 0.83984375, + "learning_rate": 0.0003686527784428627, + "loss": 4.9983, + "mean_token_accuracy": 0.21924445480108262, + "num_tokens": 8971801.0, + "step": 3995 + }, + { + "entropy": 5.584245300292968, + "epoch": 4.324499729583558, + "grad_norm": 0.9375, + "learning_rate": 0.00036826261088411955, + "loss": 5.1176, + "mean_token_accuracy": 0.20276290774345399, + "num_tokens": 8983041.0, + "step": 4000 + }, + { + "epoch": 4.324499729583558, + "eval_entropy": 5.478987052223899, + "eval_loss": 5.882231712341309, + "eval_mean_token_accuracy": 0.17786235040561718, + "eval_num_tokens": 8983041.0, + "eval_runtime": 3.5299, + "eval_samples_per_second": 995.782, + "eval_steps_per_second": 124.65, + "step": 4000 + }, + { + "entropy": 5.531061363220215, + "epoch": 4.329908058409951, + "grad_norm": 1.015625, + "learning_rate": 0.0003678721044088329, + "loss": 5.0794, + "mean_token_accuracy": 0.20491101294755937, + "num_tokens": 8993935.0, + "step": 4005 + }, + { + "entropy": 5.514832782745361, + "epoch": 4.335316387236344, + "grad_norm": 0.98046875, + "learning_rate": 0.0003674812604361043, + "loss": 5.0313, + "mean_token_accuracy": 0.20588540881872178, + "num_tokens": 9003896.0, + "step": 4010 + }, + { + "entropy": 5.559433460235596, + "epoch": 4.340724716062737, + "grad_norm": 0.953125, + "learning_rate": 0.0003670900803862615, + "loss": 5.1159, + "mean_token_accuracy": 0.21055326759815216, + "num_tokens": 9014323.0, + "step": 4015 + }, + { + "entropy": 5.556778240203857, + "epoch": 4.346133044889129, + "grad_norm": 1.0, + "learning_rate": 0.0003666985656808537, + "loss": 5.1484, + "mean_token_accuracy": 0.21008240729570388, + "num_tokens": 9024252.0, + "step": 4020 + }, + { + "entropy": 5.585116338729859, + "epoch": 4.351541373715522, + "grad_norm": 0.9296875, + "learning_rate": 0.00036630671774264635, + "loss": 5.1581, + "mean_token_accuracy": 0.20255700051784514, + "num_tokens": 9035178.0, + "step": 4025 + }, + { + "entropy": 5.625777292251587, + "epoch": 4.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.0003659145379956158, + "loss": 5.0538, + "mean_token_accuracy": 0.21197223663330078, + "num_tokens": 9045807.0, + "step": 4030 + }, + { + "entropy": 5.633418416976928, + "epoch": 4.3623580313683075, + "grad_norm": 0.98828125, + "learning_rate": 0.00036552202786494393, + "loss": 5.128, + "mean_token_accuracy": 0.2087592974305153, + "num_tokens": 9056927.0, + "step": 4035 + }, + { + "entropy": 5.499518632888794, + "epoch": 4.367766360194699, + "grad_norm": 0.859375, + "learning_rate": 0.00036512918877701367, + "loss": 5.1006, + "mean_token_accuracy": 0.21158147752285003, + "num_tokens": 9070141.0, + "step": 4040 + }, + { + "entropy": 5.5149468898773195, + "epoch": 4.373174689021092, + "grad_norm": 0.94140625, + "learning_rate": 0.00036473602215940316, + "loss": 4.9999, + "mean_token_accuracy": 0.21572860479354858, + "num_tokens": 9081595.0, + "step": 4045 + }, + { + "entropy": 5.537314939498901, + "epoch": 4.378583017847485, + "grad_norm": 0.8671875, + "learning_rate": 0.0003643425294408807, + "loss": 5.094, + "mean_token_accuracy": 0.20537076890468597, + "num_tokens": 9092158.0, + "step": 4050 + }, + { + "entropy": 5.559205722808838, + "epoch": 4.383991346673878, + "grad_norm": 1.0234375, + "learning_rate": 0.00036394871205139984, + "loss": 5.0904, + "mean_token_accuracy": 0.20810774564743043, + "num_tokens": 9102958.0, + "step": 4055 + }, + { + "entropy": 5.55505781173706, + "epoch": 4.38939967550027, + "grad_norm": 0.96484375, + "learning_rate": 0.0003635545714220938, + "loss": 5.0501, + "mean_token_accuracy": 0.2073355570435524, + "num_tokens": 9113793.0, + "step": 4060 + }, + { + "entropy": 5.590800666809082, + "epoch": 4.394808004326663, + "grad_norm": 0.8515625, + "learning_rate": 0.0003631601089852706, + "loss": 5.1609, + "mean_token_accuracy": 0.20814414769411088, + "num_tokens": 9125149.0, + "step": 4065 + }, + { + "entropy": 5.476324653625488, + "epoch": 4.400216333153056, + "grad_norm": 0.95703125, + "learning_rate": 0.0003627653261744075, + "loss": 4.9524, + "mean_token_accuracy": 0.22145135551691056, + "num_tokens": 9136222.0, + "step": 4070 + }, + { + "entropy": 5.571965456008911, + "epoch": 4.405624661979449, + "grad_norm": 0.796875, + "learning_rate": 0.00036237022442414636, + "loss": 5.1411, + "mean_token_accuracy": 0.20361388623714446, + "num_tokens": 9147933.0, + "step": 4075 + }, + { + "entropy": 5.511048698425293, + "epoch": 4.411032990805841, + "grad_norm": 0.90234375, + "learning_rate": 0.0003619748051702878, + "loss": 5.1336, + "mean_token_accuracy": 0.2095090851187706, + "num_tokens": 9159421.0, + "step": 4080 + }, + { + "entropy": 5.557892847061157, + "epoch": 4.416441319632233, + "grad_norm": 0.8828125, + "learning_rate": 0.0003615790698497862, + "loss": 5.0512, + "mean_token_accuracy": 0.21234578341245652, + "num_tokens": 9170676.0, + "step": 4085 + }, + { + "entropy": 5.5702451229095455, + "epoch": 4.421849648458626, + "grad_norm": 0.94140625, + "learning_rate": 0.00036118301990074463, + "loss": 5.0636, + "mean_token_accuracy": 0.21222918927669526, + "num_tokens": 9181267.0, + "step": 4090 + }, + { + "entropy": 5.501087951660156, + "epoch": 4.427257977285019, + "grad_norm": 1.0, + "learning_rate": 0.0003607866567624097, + "loss": 5.1011, + "mean_token_accuracy": 0.20349736213684083, + "num_tokens": 9192999.0, + "step": 4095 + }, + { + "entropy": 5.544148254394531, + "epoch": 4.432666306111411, + "grad_norm": 0.95703125, + "learning_rate": 0.00036038998187516583, + "loss": 5.0377, + "mean_token_accuracy": 0.20985708236694336, + "num_tokens": 9203778.0, + "step": 4100 + }, + { + "entropy": 5.541201639175415, + "epoch": 4.438074634937804, + "grad_norm": 0.9296875, + "learning_rate": 0.00035999299668053043, + "loss": 5.0731, + "mean_token_accuracy": 0.21160940825939178, + "num_tokens": 9214331.0, + "step": 4105 + }, + { + "entropy": 5.528553581237793, + "epoch": 4.443482963764197, + "grad_norm": 0.98046875, + "learning_rate": 0.0003595957026211487, + "loss": 5.0888, + "mean_token_accuracy": 0.21348123997449875, + "num_tokens": 9224809.0, + "step": 4110 + }, + { + "entropy": 5.615850734710693, + "epoch": 4.44889129259059, + "grad_norm": 0.91015625, + "learning_rate": 0.00035919810114078815, + "loss": 5.2159, + "mean_token_accuracy": 0.20122536420822143, + "num_tokens": 9235852.0, + "step": 4115 + }, + { + "entropy": 5.566235685348511, + "epoch": 4.4542996214169825, + "grad_norm": 1.109375, + "learning_rate": 0.00035880019368433354, + "loss": 5.0755, + "mean_token_accuracy": 0.2152230754494667, + "num_tokens": 9246296.0, + "step": 4120 + }, + { + "entropy": 5.590666007995606, + "epoch": 4.4597079502433745, + "grad_norm": 0.95703125, + "learning_rate": 0.0003584019816977813, + "loss": 5.0692, + "mean_token_accuracy": 0.22279670387506484, + "num_tokens": 9257761.0, + "step": 4125 + }, + { + "entropy": 5.467157554626465, + "epoch": 4.465116279069767, + "grad_norm": 0.95703125, + "learning_rate": 0.00035800346662823493, + "loss": 5.1232, + "mean_token_accuracy": 0.2100720837712288, + "num_tokens": 9268796.0, + "step": 4130 + }, + { + "entropy": 5.622251224517822, + "epoch": 4.47052460789616, + "grad_norm": 1.0078125, + "learning_rate": 0.000357604649923899, + "loss": 5.1783, + "mean_token_accuracy": 0.200840924680233, + "num_tokens": 9280625.0, + "step": 4135 + }, + { + "entropy": 5.54943437576294, + "epoch": 4.475932936722553, + "grad_norm": 0.9609375, + "learning_rate": 0.0003572055330340744, + "loss": 5.0068, + "mean_token_accuracy": 0.21755584180355073, + "num_tokens": 9291096.0, + "step": 4140 + }, + { + "entropy": 5.538061571121216, + "epoch": 4.481341265548945, + "grad_norm": 0.9921875, + "learning_rate": 0.00035680611740915264, + "loss": 5.0488, + "mean_token_accuracy": 0.21059021651744841, + "num_tokens": 9301664.0, + "step": 4145 + }, + { + "entropy": 5.439249086380005, + "epoch": 4.486749594375338, + "grad_norm": 0.86328125, + "learning_rate": 0.0003564064045006113, + "loss": 5.024, + "mean_token_accuracy": 0.20721930414438247, + "num_tokens": 9312907.0, + "step": 4150 + }, + { + "entropy": 5.576662397384643, + "epoch": 4.492157923201731, + "grad_norm": 0.98828125, + "learning_rate": 0.00035600639576100786, + "loss": 5.1467, + "mean_token_accuracy": 0.20236302316188812, + "num_tokens": 9323806.0, + "step": 4155 + }, + { + "entropy": 5.602390193939209, + "epoch": 4.497566252028124, + "grad_norm": 0.91796875, + "learning_rate": 0.00035560609264397497, + "loss": 5.1534, + "mean_token_accuracy": 0.20166585296392442, + "num_tokens": 9336394.0, + "step": 4160 + }, + { + "entropy": 5.504319047927856, + "epoch": 4.502974580854516, + "grad_norm": 0.91796875, + "learning_rate": 0.00035520549660421515, + "loss": 5.0687, + "mean_token_accuracy": 0.21283844709396363, + "num_tokens": 9349177.0, + "step": 4165 + }, + { + "entropy": 5.604043436050415, + "epoch": 4.5083829096809085, + "grad_norm": 0.91015625, + "learning_rate": 0.0003548046090974954, + "loss": 5.1308, + "mean_token_accuracy": 0.2067163184285164, + "num_tokens": 9360033.0, + "step": 4170 + }, + { + "entropy": 5.505042457580567, + "epoch": 4.513791238507301, + "grad_norm": 0.9140625, + "learning_rate": 0.00035440343158064176, + "loss": 5.0874, + "mean_token_accuracy": 0.20834399461746217, + "num_tokens": 9371300.0, + "step": 4175 + }, + { + "entropy": 5.528640604019165, + "epoch": 4.519199567333694, + "grad_norm": 0.82421875, + "learning_rate": 0.0003540019655115341, + "loss": 5.1041, + "mean_token_accuracy": 0.21185071468353273, + "num_tokens": 9383112.0, + "step": 4180 + }, + { + "entropy": 5.483243942260742, + "epoch": 4.524607896160086, + "grad_norm": 0.90625, + "learning_rate": 0.00035360021234910133, + "loss": 4.99, + "mean_token_accuracy": 0.21568265557289124, + "num_tokens": 9394062.0, + "step": 4185 + }, + { + "entropy": 5.555526924133301, + "epoch": 4.530016224986479, + "grad_norm": 0.95703125, + "learning_rate": 0.00035319817355331537, + "loss": 5.1175, + "mean_token_accuracy": 0.2110666811466217, + "num_tokens": 9406016.0, + "step": 4190 + }, + { + "entropy": 5.63165397644043, + "epoch": 4.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0003527958505851858, + "loss": 5.1618, + "mean_token_accuracy": 0.20736465603113174, + "num_tokens": 9417286.0, + "step": 4195 + }, + { + "entropy": 5.510341310501099, + "epoch": 4.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.00035239324490675546, + "loss": 5.0086, + "mean_token_accuracy": 0.21016963869333266, + "num_tokens": 9428794.0, + "step": 4200 + }, + { + "entropy": 5.5268713474273685, + "epoch": 4.546241211465657, + "grad_norm": 0.93359375, + "learning_rate": 0.0003519903579810943, + "loss": 5.1531, + "mean_token_accuracy": 0.20583009719848633, + "num_tokens": 9440524.0, + "step": 4205 + }, + { + "entropy": 5.4855506896972654, + "epoch": 4.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 0.0003515871912722944, + "loss": 5.0154, + "mean_token_accuracy": 0.21542346179485322, + "num_tokens": 9450796.0, + "step": 4210 + }, + { + "entropy": 5.59025011062622, + "epoch": 4.5570578691184425, + "grad_norm": 0.953125, + "learning_rate": 0.0003511837462454643, + "loss": 5.1522, + "mean_token_accuracy": 0.20700487792491912, + "num_tokens": 9462498.0, + "step": 4215 + }, + { + "entropy": 5.5992223739624025, + "epoch": 4.562466197944835, + "grad_norm": 0.9140625, + "learning_rate": 0.00035078002436672443, + "loss": 5.0793, + "mean_token_accuracy": 0.21457747220993043, + "num_tokens": 9473395.0, + "step": 4220 + }, + { + "entropy": 5.5534467697143555, + "epoch": 4.567874526771227, + "grad_norm": 0.9296875, + "learning_rate": 0.0003503760271032007, + "loss": 5.1393, + "mean_token_accuracy": 0.2054167002439499, + "num_tokens": 9485099.0, + "step": 4225 + }, + { + "entropy": 5.612093877792359, + "epoch": 4.57328285559762, + "grad_norm": 0.984375, + "learning_rate": 0.0003499717559230205, + "loss": 5.1223, + "mean_token_accuracy": 0.2043273314833641, + "num_tokens": 9495129.0, + "step": 4230 + }, + { + "entropy": 5.557339811325074, + "epoch": 4.578691184424013, + "grad_norm": 0.99609375, + "learning_rate": 0.00034956721229530586, + "loss": 5.1595, + "mean_token_accuracy": 0.20534357726573943, + "num_tokens": 9506933.0, + "step": 4235 + }, + { + "entropy": 5.529027986526489, + "epoch": 4.584099513250406, + "grad_norm": 0.94140625, + "learning_rate": 0.0003491623976901695, + "loss": 5.0387, + "mean_token_accuracy": 0.21302892416715621, + "num_tokens": 9518262.0, + "step": 4240 + }, + { + "entropy": 5.598697853088379, + "epoch": 4.589507842076799, + "grad_norm": 0.83984375, + "learning_rate": 0.0003487573135787085, + "loss": 5.0785, + "mean_token_accuracy": 0.2066194474697113, + "num_tokens": 9530829.0, + "step": 4245 + }, + { + "entropy": 5.465062379837036, + "epoch": 4.594916170903191, + "grad_norm": 0.96484375, + "learning_rate": 0.00034835196143299956, + "loss": 4.9612, + "mean_token_accuracy": 0.22218543589115142, + "num_tokens": 9541762.0, + "step": 4250 + }, + { + "entropy": 5.507507181167602, + "epoch": 4.600324499729584, + "grad_norm": 0.96484375, + "learning_rate": 0.00034794634272609313, + "loss": 5.0666, + "mean_token_accuracy": 0.21444679349660872, + "num_tokens": 9552344.0, + "step": 4255 + }, + { + "entropy": 5.420781087875366, + "epoch": 4.605732828555976, + "grad_norm": 0.92578125, + "learning_rate": 0.0003475404589320089, + "loss": 4.9647, + "mean_token_accuracy": 0.20661905854940416, + "num_tokens": 9563806.0, + "step": 4260 + }, + { + "entropy": 5.557787322998047, + "epoch": 4.611141157382368, + "grad_norm": 0.91015625, + "learning_rate": 0.0003471343115257291, + "loss": 5.1441, + "mean_token_accuracy": 0.20521425306797028, + "num_tokens": 9575305.0, + "step": 4265 + }, + { + "entropy": 5.640677499771118, + "epoch": 4.616549486208761, + "grad_norm": 0.921875, + "learning_rate": 0.00034672790198319453, + "loss": 5.167, + "mean_token_accuracy": 0.20268668085336686, + "num_tokens": 9586155.0, + "step": 4270 + }, + { + "entropy": 5.572687005996704, + "epoch": 4.621957815035154, + "grad_norm": 0.94921875, + "learning_rate": 0.0003463212317812985, + "loss": 5.1454, + "mean_token_accuracy": 0.20789299607276918, + "num_tokens": 9597731.0, + "step": 4275 + }, + { + "entropy": 5.6729076385498045, + "epoch": 4.627366143861547, + "grad_norm": 1.015625, + "learning_rate": 0.0003459143023978813, + "loss": 5.1317, + "mean_token_accuracy": 0.20901119112968444, + "num_tokens": 9609438.0, + "step": 4280 + }, + { + "entropy": 5.562269020080566, + "epoch": 4.63277447268794, + "grad_norm": 0.9609375, + "learning_rate": 0.0003455071153117252, + "loss": 5.0949, + "mean_token_accuracy": 0.20159664154052734, + "num_tokens": 9620665.0, + "step": 4285 + }, + { + "entropy": 5.539447832107544, + "epoch": 4.638182801514332, + "grad_norm": 0.9140625, + "learning_rate": 0.0003450996720025493, + "loss": 5.1311, + "mean_token_accuracy": 0.20525468587875367, + "num_tokens": 9631868.0, + "step": 4290 + }, + { + "entropy": 5.483764791488648, + "epoch": 4.643591130340725, + "grad_norm": 0.890625, + "learning_rate": 0.00034469197395100323, + "loss": 4.9889, + "mean_token_accuracy": 0.2170760914683342, + "num_tokens": 9643879.0, + "step": 4295 + }, + { + "entropy": 5.5390242576599125, + "epoch": 4.6489994591671175, + "grad_norm": 0.83984375, + "learning_rate": 0.00034428402263866285, + "loss": 5.0369, + "mean_token_accuracy": 0.21911296546459197, + "num_tokens": 9656277.0, + "step": 4300 + }, + { + "entropy": 5.523605394363403, + "epoch": 4.6544077879935095, + "grad_norm": 0.90625, + "learning_rate": 0.00034387581954802406, + "loss": 5.1341, + "mean_token_accuracy": 0.20436792373657225, + "num_tokens": 9666590.0, + "step": 4305 + }, + { + "entropy": 5.575499248504639, + "epoch": 4.659816116819902, + "grad_norm": 0.95703125, + "learning_rate": 0.00034346736616249786, + "loss": 5.1014, + "mean_token_accuracy": 0.2100989818572998, + "num_tokens": 9677248.0, + "step": 4310 + }, + { + "entropy": 5.528906965255738, + "epoch": 4.665224445646295, + "grad_norm": 0.93359375, + "learning_rate": 0.00034305866396640473, + "loss": 5.0628, + "mean_token_accuracy": 0.20571537613868712, + "num_tokens": 9689617.0, + "step": 4315 + }, + { + "entropy": 5.51939058303833, + "epoch": 4.670632774472688, + "grad_norm": 0.921875, + "learning_rate": 0.00034264971444496954, + "loss": 5.1372, + "mean_token_accuracy": 0.20264151841402053, + "num_tokens": 9702663.0, + "step": 4320 + }, + { + "entropy": 5.516185235977173, + "epoch": 4.676041103299081, + "grad_norm": 0.94140625, + "learning_rate": 0.00034224051908431574, + "loss": 5.1636, + "mean_token_accuracy": 0.20523711591958999, + "num_tokens": 9714005.0, + "step": 4325 + }, + { + "entropy": 5.560047626495361, + "epoch": 4.681449432125473, + "grad_norm": 0.91796875, + "learning_rate": 0.0003418310793714602, + "loss": 5.0622, + "mean_token_accuracy": 0.2134099081158638, + "num_tokens": 9724931.0, + "step": 4330 + }, + { + "entropy": 5.5301953792572025, + "epoch": 4.686857760951866, + "grad_norm": 1.0546875, + "learning_rate": 0.0003414213967943077, + "loss": 5.0612, + "mean_token_accuracy": 0.20607510209083557, + "num_tokens": 9734948.0, + "step": 4335 + }, + { + "entropy": 5.487113666534424, + "epoch": 4.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.00034101147284164583, + "loss": 5.0187, + "mean_token_accuracy": 0.2138725608587265, + "num_tokens": 9746424.0, + "step": 4340 + }, + { + "entropy": 5.600327634811402, + "epoch": 4.6976744186046515, + "grad_norm": 0.921875, + "learning_rate": 0.00034060130900313905, + "loss": 5.1805, + "mean_token_accuracy": 0.21004009395837783, + "num_tokens": 9758434.0, + "step": 4345 + }, + { + "entropy": 5.516699647903442, + "epoch": 4.7030827474310435, + "grad_norm": 0.96484375, + "learning_rate": 0.00034019090676932383, + "loss": 5.0387, + "mean_token_accuracy": 0.20620029866695405, + "num_tokens": 9768869.0, + "step": 4350 + }, + { + "entropy": 5.616180181503296, + "epoch": 4.708491076257436, + "grad_norm": 0.9296875, + "learning_rate": 0.0003397802676316027, + "loss": 5.1973, + "mean_token_accuracy": 0.20477681905031203, + "num_tokens": 9780001.0, + "step": 4355 + }, + { + "entropy": 5.56871976852417, + "epoch": 4.713899405083829, + "grad_norm": 0.96875, + "learning_rate": 0.00033936939308223935, + "loss": 5.1394, + "mean_token_accuracy": 0.20348589569330217, + "num_tokens": 9790609.0, + "step": 4360 + }, + { + "entropy": 5.492574024200439, + "epoch": 4.719307733910222, + "grad_norm": 0.98828125, + "learning_rate": 0.00033895828461435275, + "loss": 5.0634, + "mean_token_accuracy": 0.21887852400541305, + "num_tokens": 9802064.0, + "step": 4365 + }, + { + "entropy": 5.544607400894165, + "epoch": 4.724716062736614, + "grad_norm": 1.0, + "learning_rate": 0.0003385469437219121, + "loss": 5.1384, + "mean_token_accuracy": 0.20900798141956328, + "num_tokens": 9812124.0, + "step": 4370 + }, + { + "entropy": 5.5435210227966305, + "epoch": 4.730124391563007, + "grad_norm": 0.9140625, + "learning_rate": 0.00033813537189973105, + "loss": 4.98, + "mean_token_accuracy": 0.2272951290011406, + "num_tokens": 9824371.0, + "step": 4375 + }, + { + "entropy": 5.507232809066773, + "epoch": 4.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00033772357064346266, + "loss": 5.0107, + "mean_token_accuracy": 0.21994542926549912, + "num_tokens": 9834919.0, + "step": 4380 + }, + { + "entropy": 5.493790626525879, + "epoch": 4.740941049215793, + "grad_norm": 0.921875, + "learning_rate": 0.0003373115414495935, + "loss": 5.1082, + "mean_token_accuracy": 0.2011227235198021, + "num_tokens": 9845435.0, + "step": 4385 + }, + { + "entropy": 5.54889178276062, + "epoch": 4.746349378042185, + "grad_norm": 0.91796875, + "learning_rate": 0.0003368992858154389, + "loss": 5.0641, + "mean_token_accuracy": 0.2104277119040489, + "num_tokens": 9856091.0, + "step": 4390 + }, + { + "entropy": 5.479821825027466, + "epoch": 4.7517577068685775, + "grad_norm": 0.9609375, + "learning_rate": 0.00033648680523913643, + "loss": 4.9348, + "mean_token_accuracy": 0.218231301009655, + "num_tokens": 9866861.0, + "step": 4395 + }, + { + "entropy": 5.454116535186768, + "epoch": 4.75716603569497, + "grad_norm": 1.03125, + "learning_rate": 0.0003360741012196417, + "loss": 5.0393, + "mean_token_accuracy": 0.20523456186056138, + "num_tokens": 9877852.0, + "step": 4400 + }, + { + "entropy": 5.534960031509399, + "epoch": 4.762574364521363, + "grad_norm": 0.98046875, + "learning_rate": 0.000335661175256722, + "loss": 4.9843, + "mean_token_accuracy": 0.2199228972196579, + "num_tokens": 9888938.0, + "step": 4405 + }, + { + "entropy": 5.560315465927124, + "epoch": 4.767982693347756, + "grad_norm": 0.84375, + "learning_rate": 0.0003352480288509513, + "loss": 5.0598, + "mean_token_accuracy": 0.219546115398407, + "num_tokens": 9901782.0, + "step": 4410 + }, + { + "entropy": 5.521196699142456, + "epoch": 4.773391022174148, + "grad_norm": 0.86328125, + "learning_rate": 0.00033483466350370445, + "loss": 5.1658, + "mean_token_accuracy": 0.19951529055833817, + "num_tokens": 9913254.0, + "step": 4415 + }, + { + "entropy": 5.502304553985596, + "epoch": 4.778799351000541, + "grad_norm": 0.98828125, + "learning_rate": 0.00033442108071715215, + "loss": 5.0496, + "mean_token_accuracy": 0.2143803671002388, + "num_tokens": 9923170.0, + "step": 4420 + }, + { + "entropy": 5.606217288970948, + "epoch": 4.784207679826934, + "grad_norm": 0.94140625, + "learning_rate": 0.00033400728199425525, + "loss": 5.1021, + "mean_token_accuracy": 0.21283678859472274, + "num_tokens": 9934087.0, + "step": 4425 + }, + { + "entropy": 5.4965592384338375, + "epoch": 4.789616008653326, + "grad_norm": 0.90625, + "learning_rate": 0.00033359326883875917, + "loss": 5.1654, + "mean_token_accuracy": 0.2012577623128891, + "num_tokens": 9945463.0, + "step": 4430 + }, + { + "entropy": 5.501139736175537, + "epoch": 4.795024337479719, + "grad_norm": 1.1328125, + "learning_rate": 0.00033317904275518873, + "loss": 4.9974, + "mean_token_accuracy": 0.20785470306873322, + "num_tokens": 9955602.0, + "step": 4435 + }, + { + "entropy": 5.512185335159302, + "epoch": 4.800432666306111, + "grad_norm": 1.046875, + "learning_rate": 0.0003327646052488425, + "loss": 5.0363, + "mean_token_accuracy": 0.21250054240226746, + "num_tokens": 9965899.0, + "step": 4440 + }, + { + "entropy": 5.591942167282104, + "epoch": 4.805840995132504, + "grad_norm": 0.96875, + "learning_rate": 0.0003323499578257873, + "loss": 5.2056, + "mean_token_accuracy": 0.19892056584358214, + "num_tokens": 9978047.0, + "step": 4445 + }, + { + "entropy": 5.663182115554809, + "epoch": 4.811249323958897, + "grad_norm": 0.95703125, + "learning_rate": 0.00033193510199285286, + "loss": 5.2594, + "mean_token_accuracy": 0.19744797497987748, + "num_tokens": 9991760.0, + "step": 4450 + }, + { + "entropy": 5.5475287437438965, + "epoch": 4.816657652785289, + "grad_norm": 0.97265625, + "learning_rate": 0.00033152003925762615, + "loss": 5.0866, + "mean_token_accuracy": 0.20573129653930664, + "num_tokens": 10002540.0, + "step": 4455 + }, + { + "entropy": 5.551731443405151, + "epoch": 4.822065981611682, + "grad_norm": 1.0703125, + "learning_rate": 0.0003311047711284462, + "loss": 5.1077, + "mean_token_accuracy": 0.2031647101044655, + "num_tokens": 10013955.0, + "step": 4460 + }, + { + "entropy": 5.583474063873291, + "epoch": 4.827474310438075, + "grad_norm": 0.96484375, + "learning_rate": 0.0003306892991143983, + "loss": 5.0944, + "mean_token_accuracy": 0.20376263111829757, + "num_tokens": 10024845.0, + "step": 4465 + }, + { + "entropy": 5.531608533859253, + "epoch": 4.832882639264467, + "grad_norm": 0.91796875, + "learning_rate": 0.0003302736247253087, + "loss": 5.1198, + "mean_token_accuracy": 0.21353143751621245, + "num_tokens": 10036440.0, + "step": 4470 + }, + { + "entropy": 5.582123136520385, + "epoch": 4.83829096809086, + "grad_norm": 0.86328125, + "learning_rate": 0.0003298577494717391, + "loss": 5.1161, + "mean_token_accuracy": 0.2058424174785614, + "num_tokens": 10049891.0, + "step": 4475 + }, + { + "entropy": 5.505520439147949, + "epoch": 4.8436992969172525, + "grad_norm": 0.93359375, + "learning_rate": 0.0003294416748649812, + "loss": 5.0116, + "mean_token_accuracy": 0.21813010573387145, + "num_tokens": 10061105.0, + "step": 4480 + }, + { + "entropy": 5.504058456420898, + "epoch": 4.849107625743645, + "grad_norm": 0.92578125, + "learning_rate": 0.00032902540241705106, + "loss": 5.0819, + "mean_token_accuracy": 0.21307054460048674, + "num_tokens": 10072721.0, + "step": 4485 + }, + { + "entropy": 5.508000802993775, + "epoch": 4.854515954570038, + "grad_norm": 0.9609375, + "learning_rate": 0.0003286089336406837, + "loss": 5.04, + "mean_token_accuracy": 0.21326482594013213, + "num_tokens": 10083288.0, + "step": 4490 + }, + { + "entropy": 5.602752351760865, + "epoch": 4.85992428339643, + "grad_norm": 0.91015625, + "learning_rate": 0.00032819227004932745, + "loss": 5.1096, + "mean_token_accuracy": 0.2064409077167511, + "num_tokens": 10093879.0, + "step": 4495 + }, + { + "entropy": 5.508682727813721, + "epoch": 4.865332612222823, + "grad_norm": 0.96484375, + "learning_rate": 0.000327775413157139, + "loss": 5.0448, + "mean_token_accuracy": 0.20702906399965287, + "num_tokens": 10104861.0, + "step": 4500 + }, + { + "epoch": 4.865332612222823, + "eval_entropy": 5.407308044216849, + "eval_loss": 5.845698356628418, + "eval_mean_token_accuracy": 0.18109293117780578, + "eval_num_tokens": 10104861.0, + "eval_runtime": 3.5424, + "eval_samples_per_second": 992.253, + "eval_steps_per_second": 124.208, + "step": 4500 + }, + { + "entropy": 5.5260412216186525, + "epoch": 4.870740941049216, + "grad_norm": 0.90234375, + "learning_rate": 0.0003273583644789772, + "loss": 5.0416, + "mean_token_accuracy": 0.2119097203016281, + "num_tokens": 10116420.0, + "step": 4505 + }, + { + "entropy": 5.480229425430298, + "epoch": 4.876149269875609, + "grad_norm": 0.984375, + "learning_rate": 0.00032694112553039795, + "loss": 5.0407, + "mean_token_accuracy": 0.20997347682714462, + "num_tokens": 10127289.0, + "step": 4510 + }, + { + "entropy": 5.582333183288574, + "epoch": 4.881557598702001, + "grad_norm": 0.89453125, + "learning_rate": 0.0003265236978276484, + "loss": 5.1776, + "mean_token_accuracy": 0.2014921173453331, + "num_tokens": 10139216.0, + "step": 4515 + }, + { + "entropy": 5.586625242233277, + "epoch": 4.886965927528394, + "grad_norm": 0.9609375, + "learning_rate": 0.00032610608288766185, + "loss": 5.0455, + "mean_token_accuracy": 0.22018371075391768, + "num_tokens": 10150010.0, + "step": 4520 + }, + { + "entropy": 5.507440090179443, + "epoch": 4.8923742563547865, + "grad_norm": 0.93359375, + "learning_rate": 0.00032568828222805216, + "loss": 5.0416, + "mean_token_accuracy": 0.21397803723812103, + "num_tokens": 10161317.0, + "step": 4525 + }, + { + "entropy": 5.520569133758545, + "epoch": 4.897782585181179, + "grad_norm": 1.0390625, + "learning_rate": 0.0003252702973671075, + "loss": 5.0784, + "mean_token_accuracy": 0.22154383063316346, + "num_tokens": 10172681.0, + "step": 4530 + }, + { + "entropy": 5.564612579345703, + "epoch": 4.903190914007571, + "grad_norm": 0.9375, + "learning_rate": 0.00032485212982378615, + "loss": 5.0628, + "mean_token_accuracy": 0.21105246245861053, + "num_tokens": 10184755.0, + "step": 4535 + }, + { + "entropy": 5.513889312744141, + "epoch": 4.908599242833964, + "grad_norm": 1.015625, + "learning_rate": 0.0003244337811177098, + "loss": 5.0479, + "mean_token_accuracy": 0.21932805627584456, + "num_tokens": 10195252.0, + "step": 4540 + }, + { + "entropy": 5.543384790420532, + "epoch": 4.914007571660357, + "grad_norm": 0.97265625, + "learning_rate": 0.0003240152527691586, + "loss": 5.152, + "mean_token_accuracy": 0.1962687239050865, + "num_tokens": 10207660.0, + "step": 4545 + }, + { + "entropy": 5.5311463356018065, + "epoch": 4.91941590048675, + "grad_norm": 0.94140625, + "learning_rate": 0.00032359654629906555, + "loss": 5.0906, + "mean_token_accuracy": 0.21332904547452927, + "num_tokens": 10218154.0, + "step": 4550 + }, + { + "entropy": 5.496583652496338, + "epoch": 4.924824229313142, + "grad_norm": 0.92578125, + "learning_rate": 0.00032317766322901106, + "loss": 5.0363, + "mean_token_accuracy": 0.2050163671374321, + "num_tokens": 10229624.0, + "step": 4555 + }, + { + "entropy": 5.5351176261901855, + "epoch": 4.930232558139535, + "grad_norm": 0.97265625, + "learning_rate": 0.000322758605081217, + "loss": 5.0029, + "mean_token_accuracy": 0.2171091064810753, + "num_tokens": 10240338.0, + "step": 4560 + }, + { + "entropy": 5.489692735671997, + "epoch": 4.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.00032233937337854167, + "loss": 5.0781, + "mean_token_accuracy": 0.21066401302814483, + "num_tokens": 10250721.0, + "step": 4565 + }, + { + "entropy": 5.483132600784302, + "epoch": 4.9410492157923205, + "grad_norm": 0.85546875, + "learning_rate": 0.0003219199696444741, + "loss": 5.1115, + "mean_token_accuracy": 0.20521238595247268, + "num_tokens": 10262596.0, + "step": 4570 + }, + { + "entropy": 5.630878591537476, + "epoch": 4.9464575446187125, + "grad_norm": 0.9375, + "learning_rate": 0.00032150039540312843, + "loss": 5.2161, + "mean_token_accuracy": 0.20218149423599244, + "num_tokens": 10275043.0, + "step": 4575 + }, + { + "entropy": 5.597415924072266, + "epoch": 4.951865873445105, + "grad_norm": 0.86328125, + "learning_rate": 0.00032108065217923836, + "loss": 5.1768, + "mean_token_accuracy": 0.20507008731365203, + "num_tokens": 10286593.0, + "step": 4580 + }, + { + "entropy": 5.684569835662842, + "epoch": 4.957274202271498, + "grad_norm": 0.91796875, + "learning_rate": 0.00032066074149815184, + "loss": 5.1852, + "mean_token_accuracy": 0.20786730647087098, + "num_tokens": 10297459.0, + "step": 4585 + }, + { + "entropy": 5.420581722259522, + "epoch": 4.962682531097891, + "grad_norm": 0.8984375, + "learning_rate": 0.00032024066488582517, + "loss": 4.9087, + "mean_token_accuracy": 0.22307772785425187, + "num_tokens": 10308397.0, + "step": 4590 + }, + { + "entropy": 5.616361284255982, + "epoch": 4.968090859924283, + "grad_norm": 0.9921875, + "learning_rate": 0.0003198204238688178, + "loss": 5.1932, + "mean_token_accuracy": 0.20035981386899948, + "num_tokens": 10319648.0, + "step": 4595 + }, + { + "entropy": 5.652286148071289, + "epoch": 4.973499188750676, + "grad_norm": 0.94140625, + "learning_rate": 0.00031940001997428645, + "loss": 5.1707, + "mean_token_accuracy": 0.2010723575949669, + "num_tokens": 10330922.0, + "step": 4600 + }, + { + "entropy": 5.523626327514648, + "epoch": 4.978907517577069, + "grad_norm": 1.03125, + "learning_rate": 0.00031897945472997996, + "loss": 5.0548, + "mean_token_accuracy": 0.20578106194734574, + "num_tokens": 10341959.0, + "step": 4605 + }, + { + "entropy": 5.5449658870697025, + "epoch": 4.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0003185587296642333, + "loss": 5.1312, + "mean_token_accuracy": 0.21090947985649108, + "num_tokens": 10353125.0, + "step": 4610 + }, + { + "entropy": 5.567223691940308, + "epoch": 4.9897241752298545, + "grad_norm": 1.0546875, + "learning_rate": 0.0003181378463059625, + "loss": 5.155, + "mean_token_accuracy": 0.2045162320137024, + "num_tokens": 10364528.0, + "step": 4615 + }, + { + "entropy": 5.502493953704834, + "epoch": 4.995132504056246, + "grad_norm": 0.8984375, + "learning_rate": 0.0003177168061846584, + "loss": 5.013, + "mean_token_accuracy": 0.21816083341836928, + "num_tokens": 10375252.0, + "step": 4620 + }, + { + "entropy": 5.496442000071208, + "epoch": 5.0, + "grad_norm": 1.84375, + "learning_rate": 0.0003172956108303819, + "loss": 4.9872, + "mean_token_accuracy": 0.216766443517473, + "num_tokens": 10384445.0, + "step": 4625 + }, + { + "entropy": 5.528093242645264, + "epoch": 5.005408328826393, + "grad_norm": 0.88671875, + "learning_rate": 0.0003168742617737579, + "loss": 4.9556, + "mean_token_accuracy": 0.21919166445732116, + "num_tokens": 10396122.0, + "step": 4630 + }, + { + "entropy": 5.603008890151978, + "epoch": 5.010816657652786, + "grad_norm": 0.7890625, + "learning_rate": 0.00031645276054597006, + "loss": 4.9064, + "mean_token_accuracy": 0.2211405813694, + "num_tokens": 10409135.0, + "step": 4635 + }, + { + "entropy": 5.586550092697143, + "epoch": 5.016224986479178, + "grad_norm": 0.88671875, + "learning_rate": 0.00031603110867875435, + "loss": 4.8883, + "mean_token_accuracy": 0.22872422486543656, + "num_tokens": 10421068.0, + "step": 4640 + }, + { + "entropy": 5.501196575164795, + "epoch": 5.0216333153055706, + "grad_norm": 0.953125, + "learning_rate": 0.000315609307704395, + "loss": 4.8529, + "mean_token_accuracy": 0.2281401500105858, + "num_tokens": 10432117.0, + "step": 4645 + }, + { + "entropy": 5.535338020324707, + "epoch": 5.027041644131963, + "grad_norm": 0.8984375, + "learning_rate": 0.0003151873591557176, + "loss": 4.8912, + "mean_token_accuracy": 0.22080296128988267, + "num_tokens": 10443547.0, + "step": 4650 + }, + { + "entropy": 5.5264379501342775, + "epoch": 5.032449972958356, + "grad_norm": 0.8984375, + "learning_rate": 0.00031476526456608415, + "loss": 4.8489, + "mean_token_accuracy": 0.22700522541999818, + "num_tokens": 10455038.0, + "step": 4655 + }, + { + "entropy": 5.550225639343262, + "epoch": 5.037858301784748, + "grad_norm": 0.95703125, + "learning_rate": 0.0003143430254693873, + "loss": 4.9477, + "mean_token_accuracy": 0.21674466133117676, + "num_tokens": 10466682.0, + "step": 4660 + }, + { + "entropy": 5.5271460056304935, + "epoch": 5.043266630611141, + "grad_norm": 1.0078125, + "learning_rate": 0.0003139206434000451, + "loss": 4.9151, + "mean_token_accuracy": 0.22240815162658692, + "num_tokens": 10478575.0, + "step": 4665 + }, + { + "entropy": 5.569495391845703, + "epoch": 5.048674959437534, + "grad_norm": 0.94140625, + "learning_rate": 0.0003134981198929948, + "loss": 4.8959, + "mean_token_accuracy": 0.2266492411494255, + "num_tokens": 10490088.0, + "step": 4670 + }, + { + "entropy": 5.498064756393433, + "epoch": 5.054083288263927, + "grad_norm": 1.0546875, + "learning_rate": 0.00031307545648368777, + "loss": 4.7767, + "mean_token_accuracy": 0.2328466773033142, + "num_tokens": 10499877.0, + "step": 4675 + }, + { + "entropy": 5.46832504272461, + "epoch": 5.059491617090319, + "grad_norm": 0.9765625, + "learning_rate": 0.00031265265470808393, + "loss": 4.7688, + "mean_token_accuracy": 0.23446664959192276, + "num_tokens": 10509830.0, + "step": 4680 + }, + { + "entropy": 5.477397060394287, + "epoch": 5.064899945916712, + "grad_norm": 1.0078125, + "learning_rate": 0.00031222971610264595, + "loss": 4.8014, + "mean_token_accuracy": 0.22999125868082046, + "num_tokens": 10520072.0, + "step": 4685 + }, + { + "entropy": 5.526410722732544, + "epoch": 5.0703082747431045, + "grad_norm": 1.0, + "learning_rate": 0.00031180664220433347, + "loss": 4.9696, + "mean_token_accuracy": 0.22071902453899384, + "num_tokens": 10531260.0, + "step": 4690 + }, + { + "entropy": 5.477414608001709, + "epoch": 5.075716603569497, + "grad_norm": 1.0, + "learning_rate": 0.00031138343455059823, + "loss": 4.8571, + "mean_token_accuracy": 0.22696343213319778, + "num_tokens": 10542971.0, + "step": 4695 + }, + { + "entropy": 5.464529418945313, + "epoch": 5.081124932395889, + "grad_norm": 0.97265625, + "learning_rate": 0.0003109600946793778, + "loss": 4.8392, + "mean_token_accuracy": 0.2284951239824295, + "num_tokens": 10554101.0, + "step": 4700 + }, + { + "entropy": 5.605349922180176, + "epoch": 5.086533261222282, + "grad_norm": 0.94140625, + "learning_rate": 0.00031053662412909024, + "loss": 4.9924, + "mean_token_accuracy": 0.21688981205224991, + "num_tokens": 10565866.0, + "step": 4705 + }, + { + "entropy": 5.453184270858765, + "epoch": 5.091941590048675, + "grad_norm": 0.8671875, + "learning_rate": 0.0003101130244386283, + "loss": 4.8064, + "mean_token_accuracy": 0.23072075247764587, + "num_tokens": 10577276.0, + "step": 4710 + }, + { + "entropy": 5.594261884689331, + "epoch": 5.097349918875068, + "grad_norm": 0.9609375, + "learning_rate": 0.00030968929714735456, + "loss": 5.0054, + "mean_token_accuracy": 0.21874586939811708, + "num_tokens": 10588625.0, + "step": 4715 + }, + { + "entropy": 5.425375604629517, + "epoch": 5.10275824770146, + "grad_norm": 0.96875, + "learning_rate": 0.0003092654437950947, + "loss": 4.8637, + "mean_token_accuracy": 0.22720252275466918, + "num_tokens": 10599833.0, + "step": 4720 + }, + { + "entropy": 5.456516408920288, + "epoch": 5.108166576527853, + "grad_norm": 0.9921875, + "learning_rate": 0.0003088414659221331, + "loss": 4.8677, + "mean_token_accuracy": 0.21797628104686737, + "num_tokens": 10610156.0, + "step": 4725 + }, + { + "entropy": 5.480758142471314, + "epoch": 5.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.000308417365069206, + "loss": 4.8825, + "mean_token_accuracy": 0.22795740216970445, + "num_tokens": 10619839.0, + "step": 4730 + }, + { + "entropy": 5.499576425552368, + "epoch": 5.1189832341806385, + "grad_norm": 0.97265625, + "learning_rate": 0.00030799314277749697, + "loss": 4.8791, + "mean_token_accuracy": 0.22572332620620728, + "num_tokens": 10631671.0, + "step": 4735 + }, + { + "entropy": 5.485957908630371, + "epoch": 5.1243915630070305, + "grad_norm": 1.0, + "learning_rate": 0.00030756880058863085, + "loss": 4.8818, + "mean_token_accuracy": 0.22702433317899703, + "num_tokens": 10642597.0, + "step": 4740 + }, + { + "entropy": 5.547960376739502, + "epoch": 5.129799891833423, + "grad_norm": 1.015625, + "learning_rate": 0.00030714434004466823, + "loss": 4.9414, + "mean_token_accuracy": 0.21335140615701675, + "num_tokens": 10653323.0, + "step": 4745 + }, + { + "entropy": 5.5615216255187985, + "epoch": 5.135208220659816, + "grad_norm": 0.9609375, + "learning_rate": 0.00030671976268809947, + "loss": 4.9737, + "mean_token_accuracy": 0.21917204856872557, + "num_tokens": 10665572.0, + "step": 4750 + }, + { + "entropy": 5.450459241867065, + "epoch": 5.140616549486209, + "grad_norm": 1.09375, + "learning_rate": 0.00030629507006183995, + "loss": 4.8015, + "mean_token_accuracy": 0.22744957357645035, + "num_tokens": 10676686.0, + "step": 4755 + }, + { + "entropy": 5.458092498779297, + "epoch": 5.146024878312601, + "grad_norm": 1.1328125, + "learning_rate": 0.0003058702637092234, + "loss": 4.9562, + "mean_token_accuracy": 0.2186889737844467, + "num_tokens": 10687188.0, + "step": 4760 + }, + { + "entropy": 5.513929224014282, + "epoch": 5.151433207138994, + "grad_norm": 0.95703125, + "learning_rate": 0.00030544534517399724, + "loss": 4.8805, + "mean_token_accuracy": 0.22149462401866912, + "num_tokens": 10698343.0, + "step": 4765 + }, + { + "entropy": 5.509257984161377, + "epoch": 5.156841535965387, + "grad_norm": 0.94921875, + "learning_rate": 0.0003050203160003163, + "loss": 4.8566, + "mean_token_accuracy": 0.2240440934896469, + "num_tokens": 10710732.0, + "step": 4770 + }, + { + "entropy": 5.527531480789184, + "epoch": 5.16224986479178, + "grad_norm": 0.96875, + "learning_rate": 0.0003045951777327377, + "loss": 4.9337, + "mean_token_accuracy": 0.2243843585252762, + "num_tokens": 10722397.0, + "step": 4775 + }, + { + "entropy": 5.396258449554443, + "epoch": 5.167658193618172, + "grad_norm": 0.96484375, + "learning_rate": 0.0003041699319162148, + "loss": 4.8263, + "mean_token_accuracy": 0.221099328994751, + "num_tokens": 10733714.0, + "step": 4780 + }, + { + "entropy": 5.487423133850098, + "epoch": 5.173066522444564, + "grad_norm": 0.921875, + "learning_rate": 0.00030374458009609193, + "loss": 4.9096, + "mean_token_accuracy": 0.22515179812908173, + "num_tokens": 10745748.0, + "step": 4785 + }, + { + "entropy": 5.6112525939941404, + "epoch": 5.178474851270957, + "grad_norm": 1.015625, + "learning_rate": 0.0003033191238180985, + "loss": 4.9403, + "mean_token_accuracy": 0.2272365614771843, + "num_tokens": 10756094.0, + "step": 4790 + }, + { + "entropy": 5.50868330001831, + "epoch": 5.18388318009735, + "grad_norm": 0.9921875, + "learning_rate": 0.0003028935646283438, + "loss": 4.994, + "mean_token_accuracy": 0.21618228554725646, + "num_tokens": 10768068.0, + "step": 4795 + }, + { + "entropy": 5.4779845714569095, + "epoch": 5.189291508923742, + "grad_norm": 1.03125, + "learning_rate": 0.00030246790407331063, + "loss": 4.8476, + "mean_token_accuracy": 0.2233078360557556, + "num_tokens": 10778917.0, + "step": 4800 + }, + { + "entropy": 5.495712518692017, + "epoch": 5.194699837750135, + "grad_norm": 0.99609375, + "learning_rate": 0.00030204214369985066, + "loss": 4.8669, + "mean_token_accuracy": 0.2277569890022278, + "num_tokens": 10790552.0, + "step": 4805 + }, + { + "entropy": 5.527979612350464, + "epoch": 5.200108166576528, + "grad_norm": 0.94140625, + "learning_rate": 0.00030161628505517797, + "loss": 4.9054, + "mean_token_accuracy": 0.21913376003503798, + "num_tokens": 10803199.0, + "step": 4810 + }, + { + "entropy": 5.44367413520813, + "epoch": 5.205516495402921, + "grad_norm": 0.984375, + "learning_rate": 0.00030119032968686397, + "loss": 4.8415, + "mean_token_accuracy": 0.22889240086078644, + "num_tokens": 10814339.0, + "step": 4815 + }, + { + "entropy": 5.460538148880005, + "epoch": 5.210924824229313, + "grad_norm": 0.9140625, + "learning_rate": 0.00030076427914283127, + "loss": 4.9144, + "mean_token_accuracy": 0.21594512164592744, + "num_tokens": 10825776.0, + "step": 4820 + }, + { + "entropy": 5.530256366729736, + "epoch": 5.2163331530557056, + "grad_norm": 0.99609375, + "learning_rate": 0.00030033813497134864, + "loss": 4.8544, + "mean_token_accuracy": 0.22742793411016465, + "num_tokens": 10837179.0, + "step": 4825 + }, + { + "entropy": 5.434867238998413, + "epoch": 5.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.000299911898721025, + "loss": 4.9009, + "mean_token_accuracy": 0.22611162364482879, + "num_tokens": 10847205.0, + "step": 4830 + }, + { + "entropy": 5.504870128631592, + "epoch": 5.227149810708491, + "grad_norm": 0.859375, + "learning_rate": 0.00029948557194080385, + "loss": 4.8953, + "mean_token_accuracy": 0.2238959863781929, + "num_tokens": 10859895.0, + "step": 4835 + }, + { + "entropy": 5.442061185836792, + "epoch": 5.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.0002990591561799576, + "loss": 4.9241, + "mean_token_accuracy": 0.21286537796258925, + "num_tokens": 10871286.0, + "step": 4840 + }, + { + "entropy": 5.443824434280396, + "epoch": 5.237966468361276, + "grad_norm": 1.03125, + "learning_rate": 0.0002986326529880823, + "loss": 4.756, + "mean_token_accuracy": 0.23349499106407165, + "num_tokens": 10883479.0, + "step": 4845 + }, + { + "entropy": 5.577119398117065, + "epoch": 5.243374797187669, + "grad_norm": 1.125, + "learning_rate": 0.0002982060639150913, + "loss": 4.9296, + "mean_token_accuracy": 0.22659704983234405, + "num_tokens": 10895432.0, + "step": 4850 + }, + { + "entropy": 5.486083078384399, + "epoch": 5.248783126014062, + "grad_norm": 0.953125, + "learning_rate": 0.0002977793905112106, + "loss": 4.9538, + "mean_token_accuracy": 0.22209923714399338, + "num_tokens": 10906891.0, + "step": 4855 + }, + { + "entropy": 5.444073104858399, + "epoch": 5.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00029735263432697183, + "loss": 4.9508, + "mean_token_accuracy": 0.21773838251829147, + "num_tokens": 10917706.0, + "step": 4860 + }, + { + "entropy": 5.456596851348877, + "epoch": 5.259599783666847, + "grad_norm": 0.9609375, + "learning_rate": 0.0002969257969132085, + "loss": 4.9405, + "mean_token_accuracy": 0.2228843316435814, + "num_tokens": 10929325.0, + "step": 4865 + }, + { + "entropy": 5.524547338485718, + "epoch": 5.2650081124932395, + "grad_norm": 1.109375, + "learning_rate": 0.0002964988798210485, + "loss": 4.9319, + "mean_token_accuracy": 0.2103923425078392, + "num_tokens": 10939899.0, + "step": 4870 + }, + { + "entropy": 5.495690202713012, + "epoch": 5.270416441319632, + "grad_norm": 0.9921875, + "learning_rate": 0.0002960718846019095, + "loss": 4.8823, + "mean_token_accuracy": 0.22650152891874314, + "num_tokens": 10949801.0, + "step": 4875 + }, + { + "entropy": 5.351631355285645, + "epoch": 5.275824770146025, + "grad_norm": 1.0078125, + "learning_rate": 0.0002956448128074931, + "loss": 4.7594, + "mean_token_accuracy": 0.2333318457007408, + "num_tokens": 10960191.0, + "step": 4880 + }, + { + "entropy": 5.565910768508911, + "epoch": 5.281233098972417, + "grad_norm": 0.88671875, + "learning_rate": 0.0002952176659897794, + "loss": 5.0229, + "mean_token_accuracy": 0.21818405240774155, + "num_tokens": 10972818.0, + "step": 4885 + }, + { + "entropy": 5.542775964736938, + "epoch": 5.28664142779881, + "grad_norm": 1.015625, + "learning_rate": 0.0002947904457010207, + "loss": 4.9287, + "mean_token_accuracy": 0.21841724514961242, + "num_tokens": 10984320.0, + "step": 4890 + }, + { + "entropy": 5.501249027252197, + "epoch": 5.292049756625203, + "grad_norm": 0.9453125, + "learning_rate": 0.0002943631534937366, + "loss": 4.8801, + "mean_token_accuracy": 0.22640899568796158, + "num_tokens": 10995262.0, + "step": 4895 + }, + { + "entropy": 5.385098266601562, + "epoch": 5.297458085451596, + "grad_norm": 0.984375, + "learning_rate": 0.0002939357909207079, + "loss": 4.8709, + "mean_token_accuracy": 0.22468690872192382, + "num_tokens": 11005788.0, + "step": 4900 + }, + { + "entropy": 5.5195540428161625, + "epoch": 5.302866414277988, + "grad_norm": 1.0390625, + "learning_rate": 0.0002935083595349713, + "loss": 4.9028, + "mean_token_accuracy": 0.2290490075945854, + "num_tokens": 11016772.0, + "step": 4905 + }, + { + "entropy": 5.531022310256958, + "epoch": 5.308274743104381, + "grad_norm": 0.92578125, + "learning_rate": 0.00029308086088981335, + "loss": 4.962, + "mean_token_accuracy": 0.22039518356323243, + "num_tokens": 11028917.0, + "step": 4910 + }, + { + "entropy": 5.498329496383667, + "epoch": 5.3136830719307735, + "grad_norm": 1.0546875, + "learning_rate": 0.00029265329653876515, + "loss": 4.9503, + "mean_token_accuracy": 0.21752556413412094, + "num_tokens": 11040500.0, + "step": 4915 + }, + { + "entropy": 5.476529359817505, + "epoch": 5.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.0002922256680355965, + "loss": 4.8668, + "mean_token_accuracy": 0.2250487968325615, + "num_tokens": 11052173.0, + "step": 4920 + }, + { + "entropy": 5.542095422744751, + "epoch": 5.324499729583558, + "grad_norm": 1.109375, + "learning_rate": 0.00029179797693431046, + "loss": 4.8896, + "mean_token_accuracy": 0.22516080290079116, + "num_tokens": 11061917.0, + "step": 4925 + }, + { + "entropy": 5.450285196304321, + "epoch": 5.329908058409951, + "grad_norm": 1.0703125, + "learning_rate": 0.0002913702247891374, + "loss": 4.8752, + "mean_token_accuracy": 0.23229186683893205, + "num_tokens": 11072820.0, + "step": 4930 + }, + { + "entropy": 5.564850187301635, + "epoch": 5.335316387236344, + "grad_norm": 1.0625, + "learning_rate": 0.0002909424131545296, + "loss": 4.9642, + "mean_token_accuracy": 0.22445973008871078, + "num_tokens": 11083140.0, + "step": 4935 + }, + { + "entropy": 5.542190027236939, + "epoch": 5.340724716062737, + "grad_norm": 0.90234375, + "learning_rate": 0.00029051454358515553, + "loss": 4.9289, + "mean_token_accuracy": 0.22055180966854096, + "num_tokens": 11094314.0, + "step": 4940 + }, + { + "entropy": 5.50953254699707, + "epoch": 5.346133044889129, + "grad_norm": 0.92578125, + "learning_rate": 0.00029008661763589436, + "loss": 4.9733, + "mean_token_accuracy": 0.2225899413228035, + "num_tokens": 11106748.0, + "step": 4945 + }, + { + "entropy": 5.510439777374268, + "epoch": 5.351541373715522, + "grad_norm": 0.91796875, + "learning_rate": 0.0002896586368618297, + "loss": 4.9464, + "mean_token_accuracy": 0.22568726241588594, + "num_tokens": 11118702.0, + "step": 4950 + }, + { + "entropy": 5.525369310379029, + "epoch": 5.356949702541915, + "grad_norm": 0.96875, + "learning_rate": 0.00028923060281824483, + "loss": 4.9396, + "mean_token_accuracy": 0.21333917528390883, + "num_tokens": 11130782.0, + "step": 4955 + }, + { + "entropy": 5.4839788436889645, + "epoch": 5.3623580313683075, + "grad_norm": 1.015625, + "learning_rate": 0.0002888025170606165, + "loss": 4.9011, + "mean_token_accuracy": 0.22421319633722306, + "num_tokens": 11142536.0, + "step": 4960 + }, + { + "entropy": 5.483171844482422, + "epoch": 5.367766360194699, + "grad_norm": 1.0, + "learning_rate": 0.00028837438114460924, + "loss": 4.9031, + "mean_token_accuracy": 0.2182278573513031, + "num_tokens": 11154027.0, + "step": 4965 + }, + { + "entropy": 5.48946442604065, + "epoch": 5.373174689021092, + "grad_norm": 1.0625, + "learning_rate": 0.0002879461966260699, + "loss": 4.9259, + "mean_token_accuracy": 0.2160453200340271, + "num_tokens": 11164759.0, + "step": 4970 + }, + { + "entropy": 5.501074504852295, + "epoch": 5.378583017847485, + "grad_norm": 0.953125, + "learning_rate": 0.00028751796506102224, + "loss": 4.9456, + "mean_token_accuracy": 0.22141506671905517, + "num_tokens": 11176341.0, + "step": 4975 + }, + { + "entropy": 5.5393781661987305, + "epoch": 5.383991346673878, + "grad_norm": 0.95703125, + "learning_rate": 0.00028708968800566056, + "loss": 4.906, + "mean_token_accuracy": 0.22104442417621611, + "num_tokens": 11188958.0, + "step": 4980 + }, + { + "entropy": 5.5685571193695065, + "epoch": 5.38939967550027, + "grad_norm": 1.140625, + "learning_rate": 0.00028666136701634474, + "loss": 5.0001, + "mean_token_accuracy": 0.20960879027843476, + "num_tokens": 11200895.0, + "step": 4985 + }, + { + "entropy": 5.529350328445434, + "epoch": 5.394808004326663, + "grad_norm": 0.96875, + "learning_rate": 0.0002862330036495942, + "loss": 4.9108, + "mean_token_accuracy": 0.22896960824728013, + "num_tokens": 11211563.0, + "step": 4990 + }, + { + "entropy": 5.5777318477630615, + "epoch": 5.400216333153056, + "grad_norm": 0.9921875, + "learning_rate": 0.0002858045994620825, + "loss": 5.0099, + "mean_token_accuracy": 0.21429480612277985, + "num_tokens": 11223323.0, + "step": 4995 + }, + { + "entropy": 5.532574558258057, + "epoch": 5.405624661979449, + "grad_norm": 0.9375, + "learning_rate": 0.00028537615601063133, + "loss": 4.9088, + "mean_token_accuracy": 0.2173854023218155, + "num_tokens": 11235991.0, + "step": 5000 + }, + { + "epoch": 5.405624661979449, + "eval_entropy": 5.359868227351796, + "eval_loss": 5.847285270690918, + "eval_mean_token_accuracy": 0.18075780379162593, + "eval_num_tokens": 11235991.0, + "eval_runtime": 3.5358, + "eval_samples_per_second": 994.104, + "eval_steps_per_second": 124.44, + "step": 5000 + }, + { + "entropy": 5.455257225036621, + "epoch": 5.411032990805841, + "grad_norm": 0.9609375, + "learning_rate": 0.0002849476748522052, + "loss": 4.8879, + "mean_token_accuracy": 0.22323424369096756, + "num_tokens": 11247406.0, + "step": 5005 + }, + { + "entropy": 5.3663108348846436, + "epoch": 5.416441319632233, + "grad_norm": 0.89453125, + "learning_rate": 0.0002845191575439057, + "loss": 4.8489, + "mean_token_accuracy": 0.22015611827373505, + "num_tokens": 11259031.0, + "step": 5010 + }, + { + "entropy": 5.463020086288452, + "epoch": 5.421849648458626, + "grad_norm": 0.9609375, + "learning_rate": 0.0002840906056429658, + "loss": 4.9252, + "mean_token_accuracy": 0.2181644394993782, + "num_tokens": 11270321.0, + "step": 5015 + }, + { + "entropy": 5.51222939491272, + "epoch": 5.427257977285019, + "grad_norm": 1.0703125, + "learning_rate": 0.0002836620207067439, + "loss": 5.0229, + "mean_token_accuracy": 0.2076768919825554, + "num_tokens": 11282209.0, + "step": 5020 + }, + { + "entropy": 5.5796140193939205, + "epoch": 5.432666306111411, + "grad_norm": 1.1171875, + "learning_rate": 0.00028323340429271875, + "loss": 4.9472, + "mean_token_accuracy": 0.21594048887491227, + "num_tokens": 11292987.0, + "step": 5025 + }, + { + "entropy": 5.507422924041748, + "epoch": 5.438074634937804, + "grad_norm": 1.0390625, + "learning_rate": 0.0002828047579584833, + "loss": 4.9016, + "mean_token_accuracy": 0.22376736998558044, + "num_tokens": 11303197.0, + "step": 5030 + }, + { + "entropy": 5.413560152053833, + "epoch": 5.443482963764197, + "grad_norm": 0.98828125, + "learning_rate": 0.00028237608326173944, + "loss": 4.8308, + "mean_token_accuracy": 0.23067670911550522, + "num_tokens": 11315229.0, + "step": 5035 + }, + { + "entropy": 5.44630651473999, + "epoch": 5.44889129259059, + "grad_norm": 1.078125, + "learning_rate": 0.00028194738176029206, + "loss": 4.9124, + "mean_token_accuracy": 0.2220005840063095, + "num_tokens": 11326033.0, + "step": 5040 + }, + { + "entropy": 5.43988265991211, + "epoch": 5.4542996214169825, + "grad_norm": 1.0078125, + "learning_rate": 0.00028151865501204316, + "loss": 4.9213, + "mean_token_accuracy": 0.21385481357574462, + "num_tokens": 11335670.0, + "step": 5045 + }, + { + "entropy": 5.48417558670044, + "epoch": 5.4597079502433745, + "grad_norm": 0.91015625, + "learning_rate": 0.00028108990457498696, + "loss": 4.8722, + "mean_token_accuracy": 0.2302040845155716, + "num_tokens": 11346882.0, + "step": 5050 + }, + { + "entropy": 5.480646085739136, + "epoch": 5.465116279069767, + "grad_norm": 1.015625, + "learning_rate": 0.00028066113200720343, + "loss": 4.8288, + "mean_token_accuracy": 0.22758808583021164, + "num_tokens": 11358141.0, + "step": 5055 + }, + { + "entropy": 5.407720994949341, + "epoch": 5.47052460789616, + "grad_norm": 0.984375, + "learning_rate": 0.00028023233886685314, + "loss": 4.8753, + "mean_token_accuracy": 0.22024642527103425, + "num_tokens": 11368981.0, + "step": 5060 + }, + { + "entropy": 5.502127361297608, + "epoch": 5.475932936722553, + "grad_norm": 1.0234375, + "learning_rate": 0.0002798035267121713, + "loss": 5.0012, + "mean_token_accuracy": 0.21348655074834824, + "num_tokens": 11381613.0, + "step": 5065 + }, + { + "entropy": 5.569995927810669, + "epoch": 5.481341265548945, + "grad_norm": 1.046875, + "learning_rate": 0.0002793746971014623, + "loss": 4.9372, + "mean_token_accuracy": 0.22158569246530532, + "num_tokens": 11392321.0, + "step": 5070 + }, + { + "entropy": 5.4565346240997314, + "epoch": 5.486749594375338, + "grad_norm": 1.078125, + "learning_rate": 0.0002789458515930939, + "loss": 4.9292, + "mean_token_accuracy": 0.2208003059029579, + "num_tokens": 11403546.0, + "step": 5075 + }, + { + "entropy": 5.454629850387573, + "epoch": 5.492157923201731, + "grad_norm": 0.98046875, + "learning_rate": 0.00027851699174549164, + "loss": 4.8671, + "mean_token_accuracy": 0.22627684772014617, + "num_tokens": 11415167.0, + "step": 5080 + }, + { + "entropy": 5.518552207946778, + "epoch": 5.497566252028124, + "grad_norm": 1.0234375, + "learning_rate": 0.0002780881191171333, + "loss": 4.8769, + "mean_token_accuracy": 0.22364618480205536, + "num_tokens": 11426715.0, + "step": 5085 + }, + { + "entropy": 5.49597282409668, + "epoch": 5.502974580854516, + "grad_norm": 1.0078125, + "learning_rate": 0.00027765923526654304, + "loss": 4.8677, + "mean_token_accuracy": 0.22670321613550187, + "num_tokens": 11437760.0, + "step": 5090 + }, + { + "entropy": 5.492688322067261, + "epoch": 5.5083829096809085, + "grad_norm": 0.9765625, + "learning_rate": 0.00027723034175228554, + "loss": 4.9421, + "mean_token_accuracy": 0.22019703984260558, + "num_tokens": 11448329.0, + "step": 5095 + }, + { + "entropy": 5.431415700912476, + "epoch": 5.513791238507301, + "grad_norm": 1.046875, + "learning_rate": 0.000276801440132961, + "loss": 4.7698, + "mean_token_accuracy": 0.234079709649086, + "num_tokens": 11459173.0, + "step": 5100 + }, + { + "entropy": 5.4285736083984375, + "epoch": 5.519199567333694, + "grad_norm": 0.9921875, + "learning_rate": 0.0002763725319671989, + "loss": 4.8748, + "mean_token_accuracy": 0.22336506843566895, + "num_tokens": 11470232.0, + "step": 5105 + }, + { + "entropy": 5.375560235977173, + "epoch": 5.524607896160086, + "grad_norm": 1.0234375, + "learning_rate": 0.0002759436188136525, + "loss": 4.8556, + "mean_token_accuracy": 0.22446597516536712, + "num_tokens": 11481181.0, + "step": 5110 + }, + { + "entropy": 5.518925189971924, + "epoch": 5.530016224986479, + "grad_norm": 1.0, + "learning_rate": 0.00027551470223099306, + "loss": 4.9085, + "mean_token_accuracy": 0.2181531310081482, + "num_tokens": 11491772.0, + "step": 5115 + }, + { + "entropy": 5.5260766506195065, + "epoch": 5.535424553812872, + "grad_norm": 0.9140625, + "learning_rate": 0.0002750857837779045, + "loss": 4.8638, + "mean_token_accuracy": 0.22381193935871124, + "num_tokens": 11503895.0, + "step": 5120 + }, + { + "entropy": 5.480987071990967, + "epoch": 5.540832882639265, + "grad_norm": 1.0390625, + "learning_rate": 0.0002746568650130775, + "loss": 4.889, + "mean_token_accuracy": 0.22760302275419236, + "num_tokens": 11514189.0, + "step": 5125 + }, + { + "entropy": 5.37455005645752, + "epoch": 5.546241211465657, + "grad_norm": 0.95703125, + "learning_rate": 0.0002742279474952039, + "loss": 4.9044, + "mean_token_accuracy": 0.22398550659418107, + "num_tokens": 11526142.0, + "step": 5130 + }, + { + "entropy": 5.507328224182129, + "epoch": 5.55164954029205, + "grad_norm": 1.0234375, + "learning_rate": 0.00027379903278297086, + "loss": 4.9312, + "mean_token_accuracy": 0.21721230298280716, + "num_tokens": 11537061.0, + "step": 5135 + }, + { + "entropy": 5.530687284469605, + "epoch": 5.5570578691184425, + "grad_norm": 1.0234375, + "learning_rate": 0.00027337012243505536, + "loss": 5.0297, + "mean_token_accuracy": 0.20581408888101577, + "num_tokens": 11547319.0, + "step": 5140 + }, + { + "entropy": 5.504242658615112, + "epoch": 5.562466197944835, + "grad_norm": 0.98828125, + "learning_rate": 0.00027294121801011887, + "loss": 4.9418, + "mean_token_accuracy": 0.22116187661886216, + "num_tokens": 11558766.0, + "step": 5145 + }, + { + "entropy": 5.4529502391815186, + "epoch": 5.567874526771227, + "grad_norm": 1.0, + "learning_rate": 0.00027251232106680084, + "loss": 4.8547, + "mean_token_accuracy": 0.2266584575176239, + "num_tokens": 11570039.0, + "step": 5150 + }, + { + "entropy": 5.399138593673706, + "epoch": 5.57328285559762, + "grad_norm": 1.0078125, + "learning_rate": 0.00027208343316371383, + "loss": 4.8922, + "mean_token_accuracy": 0.2278255820274353, + "num_tokens": 11581664.0, + "step": 5155 + }, + { + "entropy": 5.466609287261963, + "epoch": 5.578691184424013, + "grad_norm": 0.9296875, + "learning_rate": 0.0002716545558594373, + "loss": 4.9241, + "mean_token_accuracy": 0.2118991419672966, + "num_tokens": 11592689.0, + "step": 5160 + }, + { + "entropy": 5.508473634719849, + "epoch": 5.584099513250406, + "grad_norm": 0.99609375, + "learning_rate": 0.0002712256907125126, + "loss": 4.8443, + "mean_token_accuracy": 0.2241092950105667, + "num_tokens": 11604315.0, + "step": 5165 + }, + { + "entropy": 5.543499088287353, + "epoch": 5.589507842076799, + "grad_norm": 1.0703125, + "learning_rate": 0.0002707968392814366, + "loss": 4.9643, + "mean_token_accuracy": 0.22009238004684448, + "num_tokens": 11614510.0, + "step": 5170 + }, + { + "entropy": 5.469890308380127, + "epoch": 5.594916170903191, + "grad_norm": 0.97265625, + "learning_rate": 0.00027036800312465635, + "loss": 4.8773, + "mean_token_accuracy": 0.22867128401994705, + "num_tokens": 11625501.0, + "step": 5175 + }, + { + "entropy": 5.535786056518555, + "epoch": 5.600324499729584, + "grad_norm": 1.0546875, + "learning_rate": 0.0002699391838005634, + "loss": 4.9374, + "mean_token_accuracy": 0.22422817051410676, + "num_tokens": 11636841.0, + "step": 5180 + }, + { + "entropy": 5.418750333786011, + "epoch": 5.605732828555976, + "grad_norm": 1.0859375, + "learning_rate": 0.00026951038286748824, + "loss": 4.8465, + "mean_token_accuracy": 0.2297739565372467, + "num_tokens": 11647475.0, + "step": 5185 + }, + { + "entropy": 5.530784225463867, + "epoch": 5.611141157382368, + "grad_norm": 0.96875, + "learning_rate": 0.0002690816018836945, + "loss": 4.9507, + "mean_token_accuracy": 0.2173537626862526, + "num_tokens": 11658887.0, + "step": 5190 + }, + { + "entropy": 5.471008729934693, + "epoch": 5.616549486208761, + "grad_norm": 1.0, + "learning_rate": 0.0002686528424073731, + "loss": 5.0088, + "mean_token_accuracy": 0.21145847886800767, + "num_tokens": 11669658.0, + "step": 5195 + }, + { + "entropy": 5.535061264038086, + "epoch": 5.621957815035154, + "grad_norm": 0.953125, + "learning_rate": 0.00026822410599663704, + "loss": 4.9716, + "mean_token_accuracy": 0.21699988692998887, + "num_tokens": 11681792.0, + "step": 5200 + }, + { + "entropy": 5.509040117263794, + "epoch": 5.627366143861547, + "grad_norm": 1.078125, + "learning_rate": 0.00026779539420951554, + "loss": 4.9293, + "mean_token_accuracy": 0.21873082220554352, + "num_tokens": 11691903.0, + "step": 5205 + }, + { + "entropy": 5.532304048538208, + "epoch": 5.63277447268794, + "grad_norm": 1.0390625, + "learning_rate": 0.0002673667086039481, + "loss": 4.9355, + "mean_token_accuracy": 0.22825905084609985, + "num_tokens": 11703383.0, + "step": 5210 + }, + { + "entropy": 5.5031740188598635, + "epoch": 5.638182801514332, + "grad_norm": 1.03125, + "learning_rate": 0.0002669380507377792, + "loss": 4.9336, + "mean_token_accuracy": 0.22372952252626419, + "num_tokens": 11714721.0, + "step": 5215 + }, + { + "entropy": 5.449891853332519, + "epoch": 5.643591130340725, + "grad_norm": 1.0234375, + "learning_rate": 0.0002665094221687525, + "loss": 4.935, + "mean_token_accuracy": 0.21551574170589446, + "num_tokens": 11726016.0, + "step": 5220 + }, + { + "entropy": 5.413540506362915, + "epoch": 5.6489994591671175, + "grad_norm": 1.0234375, + "learning_rate": 0.0002660808244545054, + "loss": 4.7575, + "mean_token_accuracy": 0.23251993656158448, + "num_tokens": 11737589.0, + "step": 5225 + }, + { + "entropy": 5.4685218811035154, + "epoch": 5.6544077879935095, + "grad_norm": 0.91796875, + "learning_rate": 0.00026565225915256276, + "loss": 4.8658, + "mean_token_accuracy": 0.22948329597711564, + "num_tokens": 11747969.0, + "step": 5230 + }, + { + "entropy": 5.443226861953735, + "epoch": 5.659816116819902, + "grad_norm": 1.0625, + "learning_rate": 0.000265223727820332, + "loss": 4.836, + "mean_token_accuracy": 0.22504404336214065, + "num_tokens": 11759535.0, + "step": 5235 + }, + { + "entropy": 5.523590898513794, + "epoch": 5.665224445646295, + "grad_norm": 1.0390625, + "learning_rate": 0.0002647952320150969, + "loss": 4.9775, + "mean_token_accuracy": 0.21442292630672455, + "num_tokens": 11770863.0, + "step": 5240 + }, + { + "entropy": 5.485964727401734, + "epoch": 5.670632774472688, + "grad_norm": 1.015625, + "learning_rate": 0.0002643667732940122, + "loss": 4.9001, + "mean_token_accuracy": 0.216877081990242, + "num_tokens": 11782643.0, + "step": 5245 + }, + { + "entropy": 5.467176008224487, + "epoch": 5.676041103299081, + "grad_norm": 0.94921875, + "learning_rate": 0.00026393835321409796, + "loss": 4.933, + "mean_token_accuracy": 0.22458599954843522, + "num_tokens": 11794468.0, + "step": 5250 + }, + { + "entropy": 5.514464282989502, + "epoch": 5.681449432125473, + "grad_norm": 0.99609375, + "learning_rate": 0.00026350997333223375, + "loss": 4.8836, + "mean_token_accuracy": 0.23128425031900407, + "num_tokens": 11807051.0, + "step": 5255 + }, + { + "entropy": 5.432554149627686, + "epoch": 5.686857760951866, + "grad_norm": 1.046875, + "learning_rate": 0.00026308163520515293, + "loss": 4.9193, + "mean_token_accuracy": 0.21702346503734588, + "num_tokens": 11817067.0, + "step": 5260 + }, + { + "entropy": 5.428543901443481, + "epoch": 5.692266089778259, + "grad_norm": 0.9375, + "learning_rate": 0.00026265334038943735, + "loss": 4.919, + "mean_token_accuracy": 0.22408238500356675, + "num_tokens": 11828111.0, + "step": 5265 + }, + { + "entropy": 5.502649211883545, + "epoch": 5.6976744186046515, + "grad_norm": 0.98828125, + "learning_rate": 0.0002622250904415113, + "loss": 4.8822, + "mean_token_accuracy": 0.2273074984550476, + "num_tokens": 11838536.0, + "step": 5270 + }, + { + "entropy": 5.53525743484497, + "epoch": 5.7030827474310435, + "grad_norm": 1.0234375, + "learning_rate": 0.0002617968869176362, + "loss": 4.9228, + "mean_token_accuracy": 0.22227408438920976, + "num_tokens": 11848899.0, + "step": 5275 + }, + { + "entropy": 5.473860883712769, + "epoch": 5.708491076257436, + "grad_norm": 0.98046875, + "learning_rate": 0.0002613687313739044, + "loss": 4.9651, + "mean_token_accuracy": 0.22359169721603395, + "num_tokens": 11861023.0, + "step": 5280 + }, + { + "entropy": 5.43254508972168, + "epoch": 5.713899405083829, + "grad_norm": 1.015625, + "learning_rate": 0.0002609406253662344, + "loss": 4.9318, + "mean_token_accuracy": 0.21903841942548752, + "num_tokens": 11871953.0, + "step": 5285 + }, + { + "entropy": 5.501645612716675, + "epoch": 5.719307733910222, + "grad_norm": 1.1171875, + "learning_rate": 0.0002605125704503643, + "loss": 4.9505, + "mean_token_accuracy": 0.2237919017672539, + "num_tokens": 11882874.0, + "step": 5290 + }, + { + "entropy": 5.58112268447876, + "epoch": 5.724716062736614, + "grad_norm": 0.95703125, + "learning_rate": 0.0002600845681818467, + "loss": 4.8646, + "mean_token_accuracy": 0.22650408893823623, + "num_tokens": 11893431.0, + "step": 5295 + }, + { + "entropy": 5.454003143310547, + "epoch": 5.730124391563007, + "grad_norm": 0.9296875, + "learning_rate": 0.0002596566201160427, + "loss": 4.8851, + "mean_token_accuracy": 0.22219976037740707, + "num_tokens": 11905311.0, + "step": 5300 + }, + { + "entropy": 5.404032039642334, + "epoch": 5.7355327203894, + "grad_norm": 1.0078125, + "learning_rate": 0.00025922872780811664, + "loss": 4.9546, + "mean_token_accuracy": 0.21621623486280442, + "num_tokens": 11916342.0, + "step": 5305 + }, + { + "entropy": 5.492973470687867, + "epoch": 5.740941049215793, + "grad_norm": 1.046875, + "learning_rate": 0.00025880089281303027, + "loss": 4.9193, + "mean_token_accuracy": 0.21626884043216704, + "num_tokens": 11927485.0, + "step": 5310 + }, + { + "entropy": 5.476612329483032, + "epoch": 5.746349378042185, + "grad_norm": 1.015625, + "learning_rate": 0.00025837311668553683, + "loss": 4.8302, + "mean_token_accuracy": 0.2276885449886322, + "num_tokens": 11937968.0, + "step": 5315 + }, + { + "entropy": 5.44808611869812, + "epoch": 5.7517577068685775, + "grad_norm": 1.09375, + "learning_rate": 0.0002579454009801757, + "loss": 4.7927, + "mean_token_accuracy": 0.23528771847486496, + "num_tokens": 11947510.0, + "step": 5320 + }, + { + "entropy": 5.477059698104858, + "epoch": 5.75716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.0002575177472512669, + "loss": 4.9526, + "mean_token_accuracy": 0.2218560740351677, + "num_tokens": 11960002.0, + "step": 5325 + }, + { + "entropy": 5.444899559020996, + "epoch": 5.762574364521363, + "grad_norm": 0.9921875, + "learning_rate": 0.000257090157052905, + "loss": 4.8705, + "mean_token_accuracy": 0.21838984936475753, + "num_tokens": 11970895.0, + "step": 5330 + }, + { + "entropy": 5.459397077560425, + "epoch": 5.767982693347756, + "grad_norm": 1.015625, + "learning_rate": 0.00025666263193895375, + "loss": 4.888, + "mean_token_accuracy": 0.21968889981508255, + "num_tokens": 11982910.0, + "step": 5335 + }, + { + "entropy": 5.511087703704834, + "epoch": 5.773391022174148, + "grad_norm": 1.0546875, + "learning_rate": 0.00025623517346304027, + "loss": 4.9507, + "mean_token_accuracy": 0.21630610823631286, + "num_tokens": 11994066.0, + "step": 5340 + }, + { + "entropy": 5.47811861038208, + "epoch": 5.778799351000541, + "grad_norm": 0.96484375, + "learning_rate": 0.00025580778317855, + "loss": 4.8659, + "mean_token_accuracy": 0.22627412974834443, + "num_tokens": 12004821.0, + "step": 5345 + }, + { + "entropy": 5.475780200958252, + "epoch": 5.784207679826934, + "grad_norm": 1.0859375, + "learning_rate": 0.0002553804626386199, + "loss": 4.9451, + "mean_token_accuracy": 0.2223440647125244, + "num_tokens": 12014973.0, + "step": 5350 + }, + { + "entropy": 5.551906108856201, + "epoch": 5.789616008653326, + "grad_norm": 0.9453125, + "learning_rate": 0.0002549532133961339, + "loss": 5.0273, + "mean_token_accuracy": 0.2145695760846138, + "num_tokens": 12026528.0, + "step": 5355 + }, + { + "entropy": 5.607546472549439, + "epoch": 5.795024337479719, + "grad_norm": 1.0625, + "learning_rate": 0.00025452603700371675, + "loss": 5.0506, + "mean_token_accuracy": 0.21419217735528945, + "num_tokens": 12038733.0, + "step": 5360 + }, + { + "entropy": 5.5201372623443605, + "epoch": 5.800432666306111, + "grad_norm": 1.015625, + "learning_rate": 0.0002540989350137285, + "loss": 4.9722, + "mean_token_accuracy": 0.21627445071935653, + "num_tokens": 12049821.0, + "step": 5365 + }, + { + "entropy": 5.565732765197754, + "epoch": 5.805840995132504, + "grad_norm": 0.99609375, + "learning_rate": 0.00025367190897825873, + "loss": 4.9698, + "mean_token_accuracy": 0.21938712447881697, + "num_tokens": 12060982.0, + "step": 5370 + }, + { + "entropy": 5.489997673034668, + "epoch": 5.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 0.0002532449604491209, + "loss": 4.8542, + "mean_token_accuracy": 0.2305293619632721, + "num_tokens": 12070842.0, + "step": 5375 + }, + { + "entropy": 5.4013769149780275, + "epoch": 5.816657652785289, + "grad_norm": 1.0859375, + "learning_rate": 0.0002528180909778471, + "loss": 4.8389, + "mean_token_accuracy": 0.2326238349080086, + "num_tokens": 12080992.0, + "step": 5380 + }, + { + "entropy": 5.480729961395264, + "epoch": 5.822065981611682, + "grad_norm": 1.046875, + "learning_rate": 0.00025239130211568206, + "loss": 4.9151, + "mean_token_accuracy": 0.22242391854524612, + "num_tokens": 12091905.0, + "step": 5385 + }, + { + "entropy": 5.520739364624023, + "epoch": 5.827474310438075, + "grad_norm": 0.98828125, + "learning_rate": 0.00025196459541357725, + "loss": 4.817, + "mean_token_accuracy": 0.22727247029542924, + "num_tokens": 12101577.0, + "step": 5390 + }, + { + "entropy": 5.555675268173218, + "epoch": 5.832882639264467, + "grad_norm": 1.078125, + "learning_rate": 0.00025153797242218604, + "loss": 5.017, + "mean_token_accuracy": 0.21263125836849212, + "num_tokens": 12112593.0, + "step": 5395 + }, + { + "entropy": 5.465591239929199, + "epoch": 5.83829096809086, + "grad_norm": 1.0625, + "learning_rate": 0.00025111143469185715, + "loss": 4.8337, + "mean_token_accuracy": 0.22807640731334686, + "num_tokens": 12122947.0, + "step": 5400 + }, + { + "entropy": 5.38767294883728, + "epoch": 5.8436992969172525, + "grad_norm": 1.03125, + "learning_rate": 0.0002506849837726299, + "loss": 4.7973, + "mean_token_accuracy": 0.23990508764982224, + "num_tokens": 12133557.0, + "step": 5405 + }, + { + "entropy": 5.5033042430877686, + "epoch": 5.849107625743645, + "grad_norm": 0.9921875, + "learning_rate": 0.0002502586212142278, + "loss": 4.9525, + "mean_token_accuracy": 0.21751385182142258, + "num_tokens": 12144735.0, + "step": 5410 + }, + { + "entropy": 5.468432903289795, + "epoch": 5.854515954570038, + "grad_norm": 1.03125, + "learning_rate": 0.00024983234856605337, + "loss": 4.9072, + "mean_token_accuracy": 0.22422076314687728, + "num_tokens": 12155786.0, + "step": 5415 + }, + { + "entropy": 5.499530363082886, + "epoch": 5.85992428339643, + "grad_norm": 0.84375, + "learning_rate": 0.00024940616737718235, + "loss": 5.0033, + "mean_token_accuracy": 0.21500488370656967, + "num_tokens": 12168846.0, + "step": 5420 + }, + { + "entropy": 5.475531673431396, + "epoch": 5.865332612222823, + "grad_norm": 0.98828125, + "learning_rate": 0.0002489800791963583, + "loss": 4.8433, + "mean_token_accuracy": 0.21648556888103485, + "num_tokens": 12179743.0, + "step": 5425 + }, + { + "entropy": 5.5550652027130125, + "epoch": 5.870740941049216, + "grad_norm": 1.0546875, + "learning_rate": 0.00024855408557198657, + "loss": 4.9396, + "mean_token_accuracy": 0.2263997510075569, + "num_tokens": 12190754.0, + "step": 5430 + }, + { + "entropy": 5.522177076339721, + "epoch": 5.876149269875609, + "grad_norm": 1.0234375, + "learning_rate": 0.000248128188052129, + "loss": 4.926, + "mean_token_accuracy": 0.2201258659362793, + "num_tokens": 12201293.0, + "step": 5435 + }, + { + "entropy": 5.500701284408569, + "epoch": 5.881557598702001, + "grad_norm": 0.87890625, + "learning_rate": 0.00024770238818449804, + "loss": 4.9843, + "mean_token_accuracy": 0.22035838961601256, + "num_tokens": 12214361.0, + "step": 5440 + }, + { + "entropy": 5.56159987449646, + "epoch": 5.886965927528394, + "grad_norm": 1.0546875, + "learning_rate": 0.00024727668751645164, + "loss": 5.0753, + "mean_token_accuracy": 0.20683244466781617, + "num_tokens": 12226766.0, + "step": 5445 + }, + { + "entropy": 5.542806959152221, + "epoch": 5.8923742563547865, + "grad_norm": 1.1640625, + "learning_rate": 0.0002468510875949868, + "loss": 4.9784, + "mean_token_accuracy": 0.22004477828741073, + "num_tokens": 12237339.0, + "step": 5450 + }, + { + "entropy": 5.454771566390991, + "epoch": 5.897782585181179, + "grad_norm": 0.95703125, + "learning_rate": 0.00024642558996673474, + "loss": 4.8806, + "mean_token_accuracy": 0.233289235830307, + "num_tokens": 12248567.0, + "step": 5455 + }, + { + "entropy": 5.475730228424072, + "epoch": 5.903190914007571, + "grad_norm": 1.0546875, + "learning_rate": 0.00024600019617795465, + "loss": 4.8715, + "mean_token_accuracy": 0.22850371301174163, + "num_tokens": 12258968.0, + "step": 5460 + }, + { + "entropy": 5.529723405838013, + "epoch": 5.908599242833964, + "grad_norm": 0.94140625, + "learning_rate": 0.0002455749077745288, + "loss": 4.9315, + "mean_token_accuracy": 0.22943497598171234, + "num_tokens": 12271233.0, + "step": 5465 + }, + { + "entropy": 5.481137132644653, + "epoch": 5.914007571660357, + "grad_norm": 1.03125, + "learning_rate": 0.00024514972630195603, + "loss": 4.894, + "mean_token_accuracy": 0.21706456691026688, + "num_tokens": 12280634.0, + "step": 5470 + }, + { + "entropy": 5.46374282836914, + "epoch": 5.91941590048675, + "grad_norm": 0.9765625, + "learning_rate": 0.0002447246533053469, + "loss": 4.9344, + "mean_token_accuracy": 0.2250108987092972, + "num_tokens": 12292282.0, + "step": 5475 + }, + { + "entropy": 5.479931974411011, + "epoch": 5.924824229313142, + "grad_norm": 1.0703125, + "learning_rate": 0.00024429969032941756, + "loss": 4.9556, + "mean_token_accuracy": 0.2212103560566902, + "num_tokens": 12303940.0, + "step": 5480 + }, + { + "entropy": 5.509561538696289, + "epoch": 5.930232558139535, + "grad_norm": 1.1171875, + "learning_rate": 0.00024387483891848456, + "loss": 4.9408, + "mean_token_accuracy": 0.2256838709115982, + "num_tokens": 12315400.0, + "step": 5485 + }, + { + "entropy": 5.5094701766967775, + "epoch": 5.935640886965928, + "grad_norm": 0.91796875, + "learning_rate": 0.00024345010061645889, + "loss": 4.9519, + "mean_token_accuracy": 0.21615981161594391, + "num_tokens": 12327462.0, + "step": 5490 + }, + { + "entropy": 5.516644716262817, + "epoch": 5.9410492157923205, + "grad_norm": 0.9296875, + "learning_rate": 0.00024302547696684047, + "loss": 4.9017, + "mean_token_accuracy": 0.22320225536823274, + "num_tokens": 12338966.0, + "step": 5495 + }, + { + "entropy": 5.397993087768555, + "epoch": 5.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00024260096951271253, + "loss": 4.8006, + "mean_token_accuracy": 0.228230282664299, + "num_tokens": 12349663.0, + "step": 5500 + }, + { + "epoch": 5.9464575446187125, + "eval_entropy": 5.341046702861786, + "eval_loss": 5.824895858764648, + "eval_mean_token_accuracy": 0.18257011164995757, + "eval_num_tokens": 12349663.0, + "eval_runtime": 3.5324, + "eval_samples_per_second": 995.086, + "eval_steps_per_second": 124.563, + "step": 5500 + }, + { + "entropy": 5.416959285736084, + "epoch": 5.951865873445105, + "grad_norm": 0.890625, + "learning_rate": 0.00024217657979673634, + "loss": 4.8534, + "mean_token_accuracy": 0.22373966872692108, + "num_tokens": 12361304.0, + "step": 5505 + }, + { + "entropy": 5.374241685867309, + "epoch": 5.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.00024175230936114507, + "loss": 4.8172, + "mean_token_accuracy": 0.23078879565000535, + "num_tokens": 12372162.0, + "step": 5510 + }, + { + "entropy": 5.468687248229981, + "epoch": 5.962682531097891, + "grad_norm": 0.91015625, + "learning_rate": 0.0002413281597477384, + "loss": 4.8529, + "mean_token_accuracy": 0.22456154525279998, + "num_tokens": 12383916.0, + "step": 5515 + }, + { + "entropy": 5.549963569641113, + "epoch": 5.968090859924283, + "grad_norm": 1.0859375, + "learning_rate": 0.00024090413249787696, + "loss": 4.9632, + "mean_token_accuracy": 0.21773760467767717, + "num_tokens": 12394787.0, + "step": 5520 + }, + { + "entropy": 5.505368185043335, + "epoch": 5.973499188750676, + "grad_norm": 0.99609375, + "learning_rate": 0.0002404802291524768, + "loss": 4.8776, + "mean_token_accuracy": 0.23071094900369643, + "num_tokens": 12405905.0, + "step": 5525 + }, + { + "entropy": 5.4695710182189945, + "epoch": 5.978907517577069, + "grad_norm": 0.9140625, + "learning_rate": 0.00024005645125200375, + "loss": 4.9449, + "mean_token_accuracy": 0.2118888556957245, + "num_tokens": 12416785.0, + "step": 5530 + }, + { + "entropy": 5.4431023597717285, + "epoch": 5.984315846403462, + "grad_norm": 0.96484375, + "learning_rate": 0.0002396328003364675, + "loss": 4.8562, + "mean_token_accuracy": 0.22554307878017427, + "num_tokens": 12427900.0, + "step": 5535 + }, + { + "entropy": 5.566122770309448, + "epoch": 5.9897241752298545, + "grad_norm": 0.9765625, + "learning_rate": 0.00023920927794541665, + "loss": 4.9858, + "mean_token_accuracy": 0.22574359327554702, + "num_tokens": 12439823.0, + "step": 5540 + }, + { + "entropy": 5.481858730316162, + "epoch": 5.995132504056246, + "grad_norm": 0.97265625, + "learning_rate": 0.0002387858856179324, + "loss": 4.9084, + "mean_token_accuracy": 0.21990197598934175, + "num_tokens": 12450988.0, + "step": 5545 + }, + { + "entropy": 5.593845897250706, + "epoch": 6.0, + "grad_norm": 1.59375, + "learning_rate": 0.00023836262489262361, + "loss": 4.9818, + "mean_token_accuracy": 0.2241312480635113, + "num_tokens": 12461334.0, + "step": 5550 + }, + { + "entropy": 5.482817697525024, + "epoch": 6.005408328826393, + "grad_norm": 1.0234375, + "learning_rate": 0.00023793949730762049, + "loss": 4.711, + "mean_token_accuracy": 0.23801302611827851, + "num_tokens": 12473206.0, + "step": 5555 + }, + { + "entropy": 5.48074688911438, + "epoch": 6.010816657652786, + "grad_norm": 0.96484375, + "learning_rate": 0.00023751650440056982, + "loss": 4.8304, + "mean_token_accuracy": 0.22817761451005936, + "num_tokens": 12484247.0, + "step": 5560 + }, + { + "entropy": 5.4692436218261715, + "epoch": 6.016224986479178, + "grad_norm": 1.015625, + "learning_rate": 0.00023709364770862885, + "loss": 4.7426, + "mean_token_accuracy": 0.23947408199310302, + "num_tokens": 12495234.0, + "step": 5565 + }, + { + "entropy": 5.456657409667969, + "epoch": 6.0216333153055706, + "grad_norm": 1.1015625, + "learning_rate": 0.00023667092876845976, + "loss": 4.855, + "mean_token_accuracy": 0.2362171694636345, + "num_tokens": 12506516.0, + "step": 5570 + }, + { + "entropy": 5.474831008911133, + "epoch": 6.027041644131963, + "grad_norm": 1.046875, + "learning_rate": 0.0002362483491162239, + "loss": 4.7585, + "mean_token_accuracy": 0.23608235716819764, + "num_tokens": 12517238.0, + "step": 5575 + }, + { + "entropy": 5.505292367935181, + "epoch": 6.032449972958356, + "grad_norm": 1.0, + "learning_rate": 0.00023582591028757706, + "loss": 4.7658, + "mean_token_accuracy": 0.2349627658724785, + "num_tokens": 12527212.0, + "step": 5580 + }, + { + "entropy": 5.498833179473877, + "epoch": 6.037858301784748, + "grad_norm": 1.140625, + "learning_rate": 0.00023540361381766274, + "loss": 4.7521, + "mean_token_accuracy": 0.24202902466058732, + "num_tokens": 12537939.0, + "step": 5585 + }, + { + "entropy": 5.450468730926514, + "epoch": 6.043266630611141, + "grad_norm": 1.1015625, + "learning_rate": 0.0002349814612411073, + "loss": 4.7608, + "mean_token_accuracy": 0.2359851762652397, + "num_tokens": 12547987.0, + "step": 5590 + }, + { + "entropy": 5.448811483383179, + "epoch": 6.048674959437534, + "grad_norm": 1.078125, + "learning_rate": 0.00023455945409201411, + "loss": 4.7812, + "mean_token_accuracy": 0.22653527408838273, + "num_tokens": 12558505.0, + "step": 5595 + }, + { + "entropy": 5.464963436126709, + "epoch": 6.054083288263927, + "grad_norm": 0.94921875, + "learning_rate": 0.00023413759390395828, + "loss": 4.7156, + "mean_token_accuracy": 0.2361931696534157, + "num_tokens": 12569748.0, + "step": 5600 + }, + { + "entropy": 5.405935955047608, + "epoch": 6.059491617090319, + "grad_norm": 0.97265625, + "learning_rate": 0.0002337158822099807, + "loss": 4.6811, + "mean_token_accuracy": 0.23703676611185073, + "num_tokens": 12581420.0, + "step": 5605 + }, + { + "entropy": 5.496515464782715, + "epoch": 6.064899945916712, + "grad_norm": 0.97265625, + "learning_rate": 0.0002332943205425825, + "loss": 4.7871, + "mean_token_accuracy": 0.23721451163291932, + "num_tokens": 12593781.0, + "step": 5610 + }, + { + "entropy": 5.41494345664978, + "epoch": 6.0703082747431045, + "grad_norm": 0.96875, + "learning_rate": 0.00023287291043371978, + "loss": 4.7303, + "mean_token_accuracy": 0.23353902548551558, + "num_tokens": 12606264.0, + "step": 5615 + }, + { + "entropy": 5.530503511428833, + "epoch": 6.075716603569497, + "grad_norm": 1.0234375, + "learning_rate": 0.00023245165341479796, + "loss": 4.7879, + "mean_token_accuracy": 0.23578621298074723, + "num_tokens": 12617419.0, + "step": 5620 + }, + { + "entropy": 5.488958168029785, + "epoch": 6.081124932395889, + "grad_norm": 0.9921875, + "learning_rate": 0.00023203055101666593, + "loss": 4.7215, + "mean_token_accuracy": 0.23366791605949402, + "num_tokens": 12628628.0, + "step": 5625 + }, + { + "entropy": 5.430446004867553, + "epoch": 6.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 0.0002316096047696108, + "loss": 4.7062, + "mean_token_accuracy": 0.236600761115551, + "num_tokens": 12638375.0, + "step": 5630 + }, + { + "entropy": 5.397326183319092, + "epoch": 6.091941590048675, + "grad_norm": 1.0078125, + "learning_rate": 0.0002311888162033522, + "loss": 4.7394, + "mean_token_accuracy": 0.22856123596429825, + "num_tokens": 12649174.0, + "step": 5635 + }, + { + "entropy": 5.44256558418274, + "epoch": 6.097349918875068, + "grad_norm": 1.1171875, + "learning_rate": 0.00023076818684703682, + "loss": 4.699, + "mean_token_accuracy": 0.24027512669563295, + "num_tokens": 12659454.0, + "step": 5640 + }, + { + "entropy": 5.453388214111328, + "epoch": 6.10275824770146, + "grad_norm": 0.890625, + "learning_rate": 0.00023034771822923268, + "loss": 4.7424, + "mean_token_accuracy": 0.23804700821638108, + "num_tokens": 12672093.0, + "step": 5645 + }, + { + "entropy": 5.454080533981323, + "epoch": 6.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0002299274118779236, + "loss": 4.785, + "mean_token_accuracy": 0.2312723308801651, + "num_tokens": 12683628.0, + "step": 5650 + }, + { + "entropy": 5.4466057300567625, + "epoch": 6.113574905354246, + "grad_norm": 1.046875, + "learning_rate": 0.00022950726932050386, + "loss": 4.7334, + "mean_token_accuracy": 0.23570535182952881, + "num_tokens": 12694726.0, + "step": 5655 + }, + { + "entropy": 5.5058012962341305, + "epoch": 6.1189832341806385, + "grad_norm": 1.0234375, + "learning_rate": 0.00022908729208377267, + "loss": 4.7932, + "mean_token_accuracy": 0.23238887786865234, + "num_tokens": 12705292.0, + "step": 5660 + }, + { + "entropy": 5.484908533096314, + "epoch": 6.1243915630070305, + "grad_norm": 0.96484375, + "learning_rate": 0.00022866748169392815, + "loss": 4.7849, + "mean_token_accuracy": 0.23078074902296067, + "num_tokens": 12717721.0, + "step": 5665 + }, + { + "entropy": 5.498049545288086, + "epoch": 6.129799891833423, + "grad_norm": 1.1171875, + "learning_rate": 0.00022824783967656208, + "loss": 4.7845, + "mean_token_accuracy": 0.2278717815876007, + "num_tokens": 12728360.0, + "step": 5670 + }, + { + "entropy": 5.479033756256103, + "epoch": 6.135208220659816, + "grad_norm": 0.99609375, + "learning_rate": 0.00022782836755665475, + "loss": 4.8063, + "mean_token_accuracy": 0.23036560267210007, + "num_tokens": 12739771.0, + "step": 5675 + }, + { + "entropy": 5.458578395843506, + "epoch": 6.140616549486209, + "grad_norm": 0.9921875, + "learning_rate": 0.00022740906685856876, + "loss": 4.7555, + "mean_token_accuracy": 0.23326312750577927, + "num_tokens": 12750024.0, + "step": 5680 + }, + { + "entropy": 5.433383131027222, + "epoch": 6.146024878312601, + "grad_norm": 1.03125, + "learning_rate": 0.00022698993910604383, + "loss": 4.7345, + "mean_token_accuracy": 0.23391510397195817, + "num_tokens": 12761160.0, + "step": 5685 + }, + { + "entropy": 5.495377540588379, + "epoch": 6.151433207138994, + "grad_norm": 1.0, + "learning_rate": 0.000226570985822191, + "loss": 4.7313, + "mean_token_accuracy": 0.24146672785282136, + "num_tokens": 12773043.0, + "step": 5690 + }, + { + "entropy": 5.40164361000061, + "epoch": 6.156841535965387, + "grad_norm": 0.984375, + "learning_rate": 0.00022615220852948765, + "loss": 4.7302, + "mean_token_accuracy": 0.23376860320568085, + "num_tokens": 12783479.0, + "step": 5695 + }, + { + "entropy": 5.515926313400269, + "epoch": 6.16224986479178, + "grad_norm": 0.93359375, + "learning_rate": 0.00022573360874977145, + "loss": 4.8247, + "mean_token_accuracy": 0.23175337463617324, + "num_tokens": 12794889.0, + "step": 5700 + }, + { + "entropy": 5.480621385574341, + "epoch": 6.167658193618172, + "grad_norm": 1.0625, + "learning_rate": 0.00022531518800423484, + "loss": 4.7982, + "mean_token_accuracy": 0.22605834305286407, + "num_tokens": 12806161.0, + "step": 5705 + }, + { + "entropy": 5.527550983428955, + "epoch": 6.173066522444564, + "grad_norm": 0.9609375, + "learning_rate": 0.0002248969478134199, + "loss": 4.8218, + "mean_token_accuracy": 0.23102053105831147, + "num_tokens": 12817829.0, + "step": 5710 + }, + { + "entropy": 5.474001789093018, + "epoch": 6.178474851270957, + "grad_norm": 1.15625, + "learning_rate": 0.00022447888969721232, + "loss": 4.8695, + "mean_token_accuracy": 0.22121107429265977, + "num_tokens": 12828212.0, + "step": 5715 + }, + { + "entropy": 5.518413400650024, + "epoch": 6.18388318009735, + "grad_norm": 1.109375, + "learning_rate": 0.00022406101517483636, + "loss": 4.7935, + "mean_token_accuracy": 0.23179168701171876, + "num_tokens": 12840058.0, + "step": 5720 + }, + { + "entropy": 5.461467647552491, + "epoch": 6.189291508923742, + "grad_norm": 0.88671875, + "learning_rate": 0.00022364332576484897, + "loss": 4.7839, + "mean_token_accuracy": 0.230883426964283, + "num_tokens": 12852833.0, + "step": 5725 + }, + { + "entropy": 5.48510422706604, + "epoch": 6.194699837750135, + "grad_norm": 1.0078125, + "learning_rate": 0.0002232258229851345, + "loss": 4.7751, + "mean_token_accuracy": 0.23518833070993422, + "num_tokens": 12863487.0, + "step": 5730 + }, + { + "entropy": 5.440191650390625, + "epoch": 6.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00022280850835289885, + "loss": 4.6923, + "mean_token_accuracy": 0.23732944577932358, + "num_tokens": 12873952.0, + "step": 5735 + }, + { + "entropy": 5.431076765060425, + "epoch": 6.205516495402921, + "grad_norm": 1.140625, + "learning_rate": 0.00022239138338466452, + "loss": 4.7793, + "mean_token_accuracy": 0.23101767003536225, + "num_tokens": 12884462.0, + "step": 5740 + }, + { + "entropy": 5.446973085403442, + "epoch": 6.210924824229313, + "grad_norm": 1.078125, + "learning_rate": 0.00022197444959626451, + "loss": 4.727, + "mean_token_accuracy": 0.23917102962732315, + "num_tokens": 12894996.0, + "step": 5745 + }, + { + "entropy": 5.430508470535278, + "epoch": 6.2163331530557056, + "grad_norm": 1.0625, + "learning_rate": 0.00022155770850283723, + "loss": 4.7103, + "mean_token_accuracy": 0.2357731357216835, + "num_tokens": 12906256.0, + "step": 5750 + }, + { + "entropy": 5.462933015823364, + "epoch": 6.221741481882098, + "grad_norm": 1.0390625, + "learning_rate": 0.00022114116161882065, + "loss": 4.8337, + "mean_token_accuracy": 0.2271495670080185, + "num_tokens": 12918738.0, + "step": 5755 + }, + { + "entropy": 5.434539031982422, + "epoch": 6.227149810708491, + "grad_norm": 1.0, + "learning_rate": 0.00022072481045794733, + "loss": 4.7419, + "mean_token_accuracy": 0.2339697703719139, + "num_tokens": 12929918.0, + "step": 5760 + }, + { + "entropy": 5.537877035140991, + "epoch": 6.232558139534884, + "grad_norm": 1.1171875, + "learning_rate": 0.00022030865653323823, + "loss": 4.8251, + "mean_token_accuracy": 0.23042406886816025, + "num_tokens": 12941427.0, + "step": 5765 + }, + { + "entropy": 5.459821033477783, + "epoch": 6.237966468361276, + "grad_norm": 0.9921875, + "learning_rate": 0.0002198927013569977, + "loss": 4.755, + "mean_token_accuracy": 0.23522372245788575, + "num_tokens": 12952889.0, + "step": 5770 + }, + { + "entropy": 5.45594425201416, + "epoch": 6.243374797187669, + "grad_norm": 1.0859375, + "learning_rate": 0.0002194769464408076, + "loss": 4.7728, + "mean_token_accuracy": 0.23804499059915543, + "num_tokens": 12962928.0, + "step": 5775 + }, + { + "entropy": 5.472302389144898, + "epoch": 6.248783126014062, + "grad_norm": 1.1484375, + "learning_rate": 0.0002190613932955226, + "loss": 4.7282, + "mean_token_accuracy": 0.24171511083841324, + "num_tokens": 12972901.0, + "step": 5780 + }, + { + "entropy": 5.48187289237976, + "epoch": 6.254191454840455, + "grad_norm": 1.046875, + "learning_rate": 0.00021864604343126365, + "loss": 4.8139, + "mean_token_accuracy": 0.23290316462516786, + "num_tokens": 12985296.0, + "step": 5785 + }, + { + "entropy": 5.538161706924439, + "epoch": 6.259599783666847, + "grad_norm": 0.9921875, + "learning_rate": 0.00021823089835741312, + "loss": 4.881, + "mean_token_accuracy": 0.22790266275405885, + "num_tokens": 12997069.0, + "step": 5790 + }, + { + "entropy": 5.485204887390137, + "epoch": 6.2650081124932395, + "grad_norm": 1.046875, + "learning_rate": 0.000217815959582609, + "loss": 4.7595, + "mean_token_accuracy": 0.23940668255090714, + "num_tokens": 13007147.0, + "step": 5795 + }, + { + "entropy": 5.438343048095703, + "epoch": 6.270416441319632, + "grad_norm": 0.984375, + "learning_rate": 0.00021740122861473992, + "loss": 4.7979, + "mean_token_accuracy": 0.23777374029159545, + "num_tokens": 13019084.0, + "step": 5800 + }, + { + "entropy": 5.5151256084442135, + "epoch": 6.275824770146025, + "grad_norm": 0.93359375, + "learning_rate": 0.00021698670696093932, + "loss": 4.8021, + "mean_token_accuracy": 0.23370311856269838, + "num_tokens": 13030751.0, + "step": 5805 + }, + { + "entropy": 5.4750467300415036, + "epoch": 6.281233098972417, + "grad_norm": 0.98046875, + "learning_rate": 0.00021657239612757963, + "loss": 4.7488, + "mean_token_accuracy": 0.23250595033168792, + "num_tokens": 13042731.0, + "step": 5810 + }, + { + "entropy": 5.464777565002441, + "epoch": 6.28664142779881, + "grad_norm": 1.0546875, + "learning_rate": 0.00021615829762026734, + "loss": 4.7205, + "mean_token_accuracy": 0.23873378783464433, + "num_tokens": 13053442.0, + "step": 5815 + }, + { + "entropy": 5.484056568145752, + "epoch": 6.292049756625203, + "grad_norm": 1.125, + "learning_rate": 0.00021574441294383752, + "loss": 4.7793, + "mean_token_accuracy": 0.2335501179099083, + "num_tokens": 13063911.0, + "step": 5820 + }, + { + "entropy": 5.4915848731994625, + "epoch": 6.297458085451596, + "grad_norm": 0.91796875, + "learning_rate": 0.00021533074360234806, + "loss": 4.8487, + "mean_token_accuracy": 0.22842135578393935, + "num_tokens": 13075887.0, + "step": 5825 + }, + { + "entropy": 5.432464218139648, + "epoch": 6.302866414277988, + "grad_norm": 1.0859375, + "learning_rate": 0.00021491729109907414, + "loss": 4.7111, + "mean_token_accuracy": 0.24290824681520462, + "num_tokens": 13087320.0, + "step": 5830 + }, + { + "entropy": 5.4360270500183105, + "epoch": 6.308274743104381, + "grad_norm": 1.0078125, + "learning_rate": 0.00021450405693650333, + "loss": 4.7483, + "mean_token_accuracy": 0.2368444621562958, + "num_tokens": 13099078.0, + "step": 5835 + }, + { + "entropy": 5.488501501083374, + "epoch": 6.3136830719307735, + "grad_norm": 1.0078125, + "learning_rate": 0.00021409104261632932, + "loss": 4.8415, + "mean_token_accuracy": 0.23506940752267838, + "num_tokens": 13111909.0, + "step": 5840 + }, + { + "entropy": 5.4188000679016115, + "epoch": 6.319091400757166, + "grad_norm": 1.046875, + "learning_rate": 0.00021367824963944727, + "loss": 4.736, + "mean_token_accuracy": 0.2346210688352585, + "num_tokens": 13123297.0, + "step": 5845 + }, + { + "entropy": 5.407528495788574, + "epoch": 6.324499729583558, + "grad_norm": 1.0078125, + "learning_rate": 0.00021326567950594766, + "loss": 4.7807, + "mean_token_accuracy": 0.23231735378503798, + "num_tokens": 13133959.0, + "step": 5850 + }, + { + "entropy": 5.401265668869018, + "epoch": 6.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.0002128533337151114, + "loss": 4.6422, + "mean_token_accuracy": 0.24409369081258775, + "num_tokens": 13144858.0, + "step": 5855 + }, + { + "entropy": 5.4279073715209964, + "epoch": 6.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.0002124412137654041, + "loss": 4.7921, + "mean_token_accuracy": 0.2318548381328583, + "num_tokens": 13156437.0, + "step": 5860 + }, + { + "entropy": 5.446533298492431, + "epoch": 6.340724716062737, + "grad_norm": 1.046875, + "learning_rate": 0.00021202932115447056, + "loss": 4.7419, + "mean_token_accuracy": 0.24057282507419586, + "num_tokens": 13166860.0, + "step": 5865 + }, + { + "entropy": 5.4611639976501465, + "epoch": 6.346133044889129, + "grad_norm": 1.078125, + "learning_rate": 0.00021161765737912937, + "loss": 4.8228, + "mean_token_accuracy": 0.23280464708805085, + "num_tokens": 13178563.0, + "step": 5870 + }, + { + "entropy": 5.496692562103272, + "epoch": 6.351541373715522, + "grad_norm": 1.0703125, + "learning_rate": 0.00021120622393536775, + "loss": 4.7578, + "mean_token_accuracy": 0.22650425583124162, + "num_tokens": 13189915.0, + "step": 5875 + }, + { + "entropy": 5.509976005554199, + "epoch": 6.356949702541915, + "grad_norm": 1.125, + "learning_rate": 0.00021079502231833585, + "loss": 4.7769, + "mean_token_accuracy": 0.2329890564084053, + "num_tokens": 13201767.0, + "step": 5880 + }, + { + "entropy": 5.455395841598511, + "epoch": 6.3623580313683075, + "grad_norm": 1.1484375, + "learning_rate": 0.00021038405402234116, + "loss": 4.7817, + "mean_token_accuracy": 0.23451150208711624, + "num_tokens": 13212265.0, + "step": 5885 + }, + { + "entropy": 5.424297761917114, + "epoch": 6.367766360194699, + "grad_norm": 0.94140625, + "learning_rate": 0.0002099733205408435, + "loss": 4.8023, + "mean_token_accuracy": 0.23045464754104614, + "num_tokens": 13223503.0, + "step": 5890 + }, + { + "entropy": 5.491450643539428, + "epoch": 6.373174689021092, + "grad_norm": 1.1015625, + "learning_rate": 0.0002095628233664492, + "loss": 4.7904, + "mean_token_accuracy": 0.22897710502147675, + "num_tokens": 13234797.0, + "step": 5895 + }, + { + "entropy": 5.440606880187988, + "epoch": 6.378583017847485, + "grad_norm": 1.046875, + "learning_rate": 0.0002091525639909061, + "loss": 4.7548, + "mean_token_accuracy": 0.2377723589539528, + "num_tokens": 13246421.0, + "step": 5900 + }, + { + "entropy": 5.4440460205078125, + "epoch": 6.383991346673878, + "grad_norm": 0.96875, + "learning_rate": 0.00020874254390509757, + "loss": 4.7624, + "mean_token_accuracy": 0.23135251700878143, + "num_tokens": 13256747.0, + "step": 5905 + }, + { + "entropy": 5.482359123229981, + "epoch": 6.38939967550027, + "grad_norm": 1.1484375, + "learning_rate": 0.00020833276459903766, + "loss": 4.74, + "mean_token_accuracy": 0.23761427402496338, + "num_tokens": 13267620.0, + "step": 5910 + }, + { + "entropy": 5.496868753433228, + "epoch": 6.394808004326663, + "grad_norm": 1.03125, + "learning_rate": 0.0002079232275618651, + "loss": 4.7261, + "mean_token_accuracy": 0.23711277842521666, + "num_tokens": 13277818.0, + "step": 5915 + }, + { + "entropy": 5.354647064208985, + "epoch": 6.400216333153056, + "grad_norm": 1.0546875, + "learning_rate": 0.0002075139342818388, + "loss": 4.6986, + "mean_token_accuracy": 0.2438313126564026, + "num_tokens": 13289905.0, + "step": 5920 + }, + { + "entropy": 5.426370525360108, + "epoch": 6.405624661979449, + "grad_norm": 0.92578125, + "learning_rate": 0.00020710488624633118, + "loss": 4.6988, + "mean_token_accuracy": 0.23948602080345155, + "num_tokens": 13302465.0, + "step": 5925 + }, + { + "entropy": 5.454558897018432, + "epoch": 6.411032990805841, + "grad_norm": 1.078125, + "learning_rate": 0.00020669608494182384, + "loss": 4.7905, + "mean_token_accuracy": 0.2280614882707596, + "num_tokens": 13314366.0, + "step": 5930 + }, + { + "entropy": 5.339557838439942, + "epoch": 6.416441319632233, + "grad_norm": 1.0078125, + "learning_rate": 0.00020628753185390164, + "loss": 4.639, + "mean_token_accuracy": 0.24252013713121415, + "num_tokens": 13324981.0, + "step": 5935 + }, + { + "entropy": 5.456610202789307, + "epoch": 6.421849648458626, + "grad_norm": 1.015625, + "learning_rate": 0.0002058792284672475, + "loss": 4.7473, + "mean_token_accuracy": 0.234878046810627, + "num_tokens": 13335705.0, + "step": 5940 + }, + { + "entropy": 5.3233154296875, + "epoch": 6.427257977285019, + "grad_norm": 1.015625, + "learning_rate": 0.0002054711762656369, + "loss": 4.6921, + "mean_token_accuracy": 0.23819227814674376, + "num_tokens": 13346515.0, + "step": 5945 + }, + { + "entropy": 5.402464580535889, + "epoch": 6.432666306111411, + "grad_norm": 1.0078125, + "learning_rate": 0.00020506337673193236, + "loss": 4.7412, + "mean_token_accuracy": 0.23467027246952057, + "num_tokens": 13357780.0, + "step": 5950 + }, + { + "entropy": 5.4471968650817875, + "epoch": 6.438074634937804, + "grad_norm": 0.98828125, + "learning_rate": 0.00020465583134807836, + "loss": 4.7435, + "mean_token_accuracy": 0.24032192826271057, + "num_tokens": 13369549.0, + "step": 5955 + }, + { + "entropy": 5.520180511474609, + "epoch": 6.443482963764197, + "grad_norm": 1.0390625, + "learning_rate": 0.00020424854159509587, + "loss": 4.8087, + "mean_token_accuracy": 0.2298721730709076, + "num_tokens": 13380259.0, + "step": 5960 + }, + { + "entropy": 5.495610284805298, + "epoch": 6.44889129259059, + "grad_norm": 1.171875, + "learning_rate": 0.0002038415089530767, + "loss": 4.8364, + "mean_token_accuracy": 0.2270108386874199, + "num_tokens": 13392049.0, + "step": 5965 + }, + { + "entropy": 5.467788505554199, + "epoch": 6.4542996214169825, + "grad_norm": 1.09375, + "learning_rate": 0.00020343473490117846, + "loss": 4.7871, + "mean_token_accuracy": 0.22844729274511338, + "num_tokens": 13403874.0, + "step": 5970 + }, + { + "entropy": 5.432657051086426, + "epoch": 6.4597079502433745, + "grad_norm": 1.1171875, + "learning_rate": 0.00020302822091761884, + "loss": 4.7664, + "mean_token_accuracy": 0.2360194906592369, + "num_tokens": 13415194.0, + "step": 5975 + }, + { + "entropy": 5.463835048675537, + "epoch": 6.465116279069767, + "grad_norm": 1.203125, + "learning_rate": 0.00020262196847967091, + "loss": 4.7913, + "mean_token_accuracy": 0.23191041946411134, + "num_tokens": 13425159.0, + "step": 5980 + }, + { + "entropy": 5.454825782775879, + "epoch": 6.47052460789616, + "grad_norm": 0.98828125, + "learning_rate": 0.00020221597906365667, + "loss": 4.7798, + "mean_token_accuracy": 0.23226822465658187, + "num_tokens": 13437279.0, + "step": 5985 + }, + { + "entropy": 5.478639888763428, + "epoch": 6.475932936722553, + "grad_norm": 0.95703125, + "learning_rate": 0.00020181025414494285, + "loss": 4.7898, + "mean_token_accuracy": 0.2360480844974518, + "num_tokens": 13449170.0, + "step": 5990 + }, + { + "entropy": 5.514584064483643, + "epoch": 6.481341265548945, + "grad_norm": 1.0546875, + "learning_rate": 0.0002014047951979344, + "loss": 4.8438, + "mean_token_accuracy": 0.22370945364236833, + "num_tokens": 13460216.0, + "step": 5995 + }, + { + "entropy": 5.464205169677735, + "epoch": 6.486749594375338, + "grad_norm": 1.0625, + "learning_rate": 0.0002009996036960704, + "loss": 4.7955, + "mean_token_accuracy": 0.2337394878268242, + "num_tokens": 13470468.0, + "step": 6000 + }, + { + "epoch": 6.486749594375338, + "eval_entropy": 5.356367090615359, + "eval_loss": 5.836918830871582, + "eval_mean_token_accuracy": 0.18327153573997995, + "eval_num_tokens": 13470468.0, + "eval_runtime": 3.5524, + "eval_samples_per_second": 989.467, + "eval_steps_per_second": 123.859, + "step": 6000 + }, + { + "entropy": 5.4838872909545895, + "epoch": 6.492157923201731, + "grad_norm": 0.9765625, + "learning_rate": 0.00020059468111181757, + "loss": 4.8355, + "mean_token_accuracy": 0.2325873091816902, + "num_tokens": 13482690.0, + "step": 6005 + }, + { + "entropy": 5.377634334564209, + "epoch": 6.497566252028124, + "grad_norm": 1.0, + "learning_rate": 0.00020019002891666555, + "loss": 4.7039, + "mean_token_accuracy": 0.24070921093225478, + "num_tokens": 13494806.0, + "step": 6010 + }, + { + "entropy": 5.371237802505493, + "epoch": 6.502974580854516, + "grad_norm": 1.03125, + "learning_rate": 0.00019978564858112125, + "loss": 4.7015, + "mean_token_accuracy": 0.24223154485225679, + "num_tokens": 13506968.0, + "step": 6015 + }, + { + "entropy": 5.492704820632935, + "epoch": 6.5083829096809085, + "grad_norm": 1.03125, + "learning_rate": 0.00019938154157470378, + "loss": 4.8381, + "mean_token_accuracy": 0.2364162266254425, + "num_tokens": 13518817.0, + "step": 6020 + }, + { + "entropy": 5.4859953880310055, + "epoch": 6.513791238507301, + "grad_norm": 1.0859375, + "learning_rate": 0.00019897770936593912, + "loss": 4.7452, + "mean_token_accuracy": 0.24185479283332825, + "num_tokens": 13529054.0, + "step": 6025 + }, + { + "entropy": 5.4339841365814205, + "epoch": 6.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.0001985741534223543, + "loss": 4.7583, + "mean_token_accuracy": 0.23412617295980453, + "num_tokens": 13540462.0, + "step": 6030 + }, + { + "entropy": 5.528876304626465, + "epoch": 6.524607896160086, + "grad_norm": 1.1640625, + "learning_rate": 0.00019817087521047244, + "loss": 4.8767, + "mean_token_accuracy": 0.22286273241043092, + "num_tokens": 13551949.0, + "step": 6035 + }, + { + "entropy": 5.508295059204102, + "epoch": 6.530016224986479, + "grad_norm": 1.0078125, + "learning_rate": 0.00019776787619580767, + "loss": 4.8043, + "mean_token_accuracy": 0.23924179673194884, + "num_tokens": 13562567.0, + "step": 6040 + }, + { + "entropy": 5.43859338760376, + "epoch": 6.535424553812872, + "grad_norm": 1.1484375, + "learning_rate": 0.0001973651578428593, + "loss": 4.7628, + "mean_token_accuracy": 0.23885137885808944, + "num_tokens": 13573696.0, + "step": 6045 + }, + { + "entropy": 5.490781259536743, + "epoch": 6.540832882639265, + "grad_norm": 1.046875, + "learning_rate": 0.00019696272161510663, + "loss": 4.8612, + "mean_token_accuracy": 0.22521820068359374, + "num_tokens": 13585941.0, + "step": 6050 + }, + { + "entropy": 5.4247150897979735, + "epoch": 6.546241211465657, + "grad_norm": 1.09375, + "learning_rate": 0.00019656056897500408, + "loss": 4.6436, + "mean_token_accuracy": 0.2483742877840996, + "num_tokens": 13597665.0, + "step": 6055 + }, + { + "entropy": 5.382246017456055, + "epoch": 6.55164954029205, + "grad_norm": 1.15625, + "learning_rate": 0.00019615870138397506, + "loss": 4.7428, + "mean_token_accuracy": 0.229461170732975, + "num_tokens": 13608732.0, + "step": 6060 + }, + { + "entropy": 5.559137582778931, + "epoch": 6.5570578691184425, + "grad_norm": 1.1328125, + "learning_rate": 0.0001957571203024075, + "loss": 4.8794, + "mean_token_accuracy": 0.2277083858847618, + "num_tokens": 13620710.0, + "step": 6065 + }, + { + "entropy": 5.4016365051269535, + "epoch": 6.562466197944835, + "grad_norm": 1.0234375, + "learning_rate": 0.00019535582718964773, + "loss": 4.7, + "mean_token_accuracy": 0.22991207093000413, + "num_tokens": 13632157.0, + "step": 6070 + }, + { + "entropy": 5.468547010421753, + "epoch": 6.567874526771227, + "grad_norm": 1.078125, + "learning_rate": 0.00019495482350399612, + "loss": 4.721, + "mean_token_accuracy": 0.2484972819685936, + "num_tokens": 13642833.0, + "step": 6075 + }, + { + "entropy": 5.477743625640869, + "epoch": 6.57328285559762, + "grad_norm": 1.0703125, + "learning_rate": 0.0001945541107027009, + "loss": 4.8397, + "mean_token_accuracy": 0.23110663294792175, + "num_tokens": 13654985.0, + "step": 6080 + }, + { + "entropy": 5.4450866222381595, + "epoch": 6.578691184424013, + "grad_norm": 1.046875, + "learning_rate": 0.0001941536902419533, + "loss": 4.785, + "mean_token_accuracy": 0.23091002255678178, + "num_tokens": 13666180.0, + "step": 6085 + }, + { + "entropy": 5.426376247406006, + "epoch": 6.584099513250406, + "grad_norm": 0.97265625, + "learning_rate": 0.00019375356357688206, + "loss": 4.7357, + "mean_token_accuracy": 0.24122271835803985, + "num_tokens": 13677993.0, + "step": 6090 + }, + { + "entropy": 5.533717823028565, + "epoch": 6.589507842076799, + "grad_norm": 1.203125, + "learning_rate": 0.00019335373216154862, + "loss": 4.8881, + "mean_token_accuracy": 0.23069773763418197, + "num_tokens": 13687427.0, + "step": 6095 + }, + { + "entropy": 5.422270774841309, + "epoch": 6.594916170903191, + "grad_norm": 1.1171875, + "learning_rate": 0.00019295419744894116, + "loss": 4.7115, + "mean_token_accuracy": 0.24273773580789565, + "num_tokens": 13698255.0, + "step": 6100 + }, + { + "entropy": 5.492586517333985, + "epoch": 6.600324499729584, + "grad_norm": 0.98828125, + "learning_rate": 0.00019255496089096985, + "loss": 4.8158, + "mean_token_accuracy": 0.22930402904748917, + "num_tokens": 13710471.0, + "step": 6105 + }, + { + "entropy": 5.522595310211182, + "epoch": 6.605732828555976, + "grad_norm": 1.0390625, + "learning_rate": 0.00019215602393846104, + "loss": 4.9235, + "mean_token_accuracy": 0.227778759598732, + "num_tokens": 13721605.0, + "step": 6110 + }, + { + "entropy": 5.461326646804809, + "epoch": 6.611141157382368, + "grad_norm": 1.0703125, + "learning_rate": 0.00019175738804115279, + "loss": 4.7891, + "mean_token_accuracy": 0.2319536179304123, + "num_tokens": 13732639.0, + "step": 6115 + }, + { + "entropy": 5.454809093475342, + "epoch": 6.616549486208761, + "grad_norm": 1.09375, + "learning_rate": 0.00019135905464768882, + "loss": 4.7584, + "mean_token_accuracy": 0.23282596617937087, + "num_tokens": 13743644.0, + "step": 6120 + }, + { + "entropy": 5.429327869415284, + "epoch": 6.621957815035154, + "grad_norm": 0.99609375, + "learning_rate": 0.00019096102520561344, + "loss": 4.6881, + "mean_token_accuracy": 0.24907640665769576, + "num_tokens": 13754887.0, + "step": 6125 + }, + { + "entropy": 5.459971714019775, + "epoch": 6.627366143861547, + "grad_norm": 1.125, + "learning_rate": 0.00019056330116136666, + "loss": 4.8665, + "mean_token_accuracy": 0.23227984756231307, + "num_tokens": 13766267.0, + "step": 6130 + }, + { + "entropy": 5.479209947586059, + "epoch": 6.63277447268794, + "grad_norm": 1.078125, + "learning_rate": 0.00019016588396027862, + "loss": 4.785, + "mean_token_accuracy": 0.22960527539253234, + "num_tokens": 13776532.0, + "step": 6135 + }, + { + "entropy": 5.446014642715454, + "epoch": 6.638182801514332, + "grad_norm": 1.0546875, + "learning_rate": 0.00018976877504656438, + "loss": 4.7252, + "mean_token_accuracy": 0.23457733541727066, + "num_tokens": 13787511.0, + "step": 6140 + }, + { + "entropy": 5.418573427200317, + "epoch": 6.643591130340725, + "grad_norm": 1.015625, + "learning_rate": 0.0001893719758633185, + "loss": 4.7603, + "mean_token_accuracy": 0.23951076716184616, + "num_tokens": 13799264.0, + "step": 6145 + }, + { + "entropy": 5.492339086532593, + "epoch": 6.6489994591671175, + "grad_norm": 1.0546875, + "learning_rate": 0.00018897548785251018, + "loss": 4.8451, + "mean_token_accuracy": 0.22612449377775193, + "num_tokens": 13810271.0, + "step": 6150 + }, + { + "entropy": 5.461274480819702, + "epoch": 6.6544077879935095, + "grad_norm": 1.1328125, + "learning_rate": 0.0001885793124549779, + "loss": 4.7764, + "mean_token_accuracy": 0.23858335763216018, + "num_tokens": 13820980.0, + "step": 6155 + }, + { + "entropy": 5.525525903701782, + "epoch": 6.659816116819902, + "grad_norm": 1.0390625, + "learning_rate": 0.00018818345111042383, + "loss": 4.9345, + "mean_token_accuracy": 0.2248729422688484, + "num_tokens": 13832522.0, + "step": 6160 + }, + { + "entropy": 5.425912666320801, + "epoch": 6.665224445646295, + "grad_norm": 1.1328125, + "learning_rate": 0.00018778790525740907, + "loss": 4.7193, + "mean_token_accuracy": 0.2379765972495079, + "num_tokens": 13844453.0, + "step": 6165 + }, + { + "entropy": 5.52116117477417, + "epoch": 6.670632774472688, + "grad_norm": 0.9375, + "learning_rate": 0.00018739267633334806, + "loss": 4.8558, + "mean_token_accuracy": 0.22124128192663192, + "num_tokens": 13856776.0, + "step": 6170 + }, + { + "entropy": 5.443723726272583, + "epoch": 6.676041103299081, + "grad_norm": 0.98828125, + "learning_rate": 0.00018699776577450378, + "loss": 4.7637, + "mean_token_accuracy": 0.2337685525417328, + "num_tokens": 13868050.0, + "step": 6175 + }, + { + "entropy": 5.492089128494262, + "epoch": 6.681449432125473, + "grad_norm": 1.0078125, + "learning_rate": 0.00018660317501598212, + "loss": 4.8518, + "mean_token_accuracy": 0.22990886569023133, + "num_tokens": 13879866.0, + "step": 6180 + }, + { + "entropy": 5.48423171043396, + "epoch": 6.686857760951866, + "grad_norm": 0.91796875, + "learning_rate": 0.0001862089054917266, + "loss": 4.7604, + "mean_token_accuracy": 0.22882692217826844, + "num_tokens": 13891782.0, + "step": 6185 + }, + { + "entropy": 5.454492902755737, + "epoch": 6.692266089778259, + "grad_norm": 1.0, + "learning_rate": 0.0001858149586345137, + "loss": 4.8486, + "mean_token_accuracy": 0.2267652705311775, + "num_tokens": 13903587.0, + "step": 6190 + }, + { + "entropy": 5.487734699249268, + "epoch": 6.6976744186046515, + "grad_norm": 1.1171875, + "learning_rate": 0.00018542133587594735, + "loss": 4.7559, + "mean_token_accuracy": 0.23566682040691375, + "num_tokens": 13914921.0, + "step": 6195 + }, + { + "entropy": 5.510404586791992, + "epoch": 6.7030827474310435, + "grad_norm": 1.1171875, + "learning_rate": 0.00018502803864645334, + "loss": 4.7447, + "mean_token_accuracy": 0.23118012845516206, + "num_tokens": 13925412.0, + "step": 6200 + }, + { + "entropy": 5.485953426361084, + "epoch": 6.708491076257436, + "grad_norm": 1.03125, + "learning_rate": 0.00018463506837527484, + "loss": 4.7566, + "mean_token_accuracy": 0.23713926672935487, + "num_tokens": 13935783.0, + "step": 6205 + }, + { + "entropy": 5.3922570705413815, + "epoch": 6.713899405083829, + "grad_norm": 1.2421875, + "learning_rate": 0.00018424242649046663, + "loss": 4.7659, + "mean_token_accuracy": 0.23707763850688934, + "num_tokens": 13945233.0, + "step": 6210 + }, + { + "entropy": 5.48021879196167, + "epoch": 6.719307733910222, + "grad_norm": 1.046875, + "learning_rate": 0.00018385011441889037, + "loss": 4.7698, + "mean_token_accuracy": 0.2360626772046089, + "num_tokens": 13955411.0, + "step": 6215 + }, + { + "entropy": 5.523493337631225, + "epoch": 6.724716062736614, + "grad_norm": 1.0390625, + "learning_rate": 0.00018345813358620894, + "loss": 4.9065, + "mean_token_accuracy": 0.2244351848959923, + "num_tokens": 13966607.0, + "step": 6220 + }, + { + "entropy": 5.546255588531494, + "epoch": 6.730124391563007, + "grad_norm": 0.9921875, + "learning_rate": 0.0001830664854168816, + "loss": 4.8721, + "mean_token_accuracy": 0.2342979833483696, + "num_tokens": 13978122.0, + "step": 6225 + }, + { + "entropy": 5.48574800491333, + "epoch": 6.7355327203894, + "grad_norm": 1.046875, + "learning_rate": 0.00018267517133415862, + "loss": 4.7914, + "mean_token_accuracy": 0.2378652423620224, + "num_tokens": 13989301.0, + "step": 6230 + }, + { + "entropy": 5.593584823608398, + "epoch": 6.740941049215793, + "grad_norm": 1.0625, + "learning_rate": 0.00018228419276007646, + "loss": 4.8879, + "mean_token_accuracy": 0.22455106675624847, + "num_tokens": 14000674.0, + "step": 6235 + }, + { + "entropy": 5.466882848739624, + "epoch": 6.746349378042185, + "grad_norm": 1.171875, + "learning_rate": 0.00018189355111545208, + "loss": 4.7649, + "mean_token_accuracy": 0.22919233441352843, + "num_tokens": 14012884.0, + "step": 6240 + }, + { + "entropy": 5.408292770385742, + "epoch": 6.7517577068685775, + "grad_norm": 1.0546875, + "learning_rate": 0.0001815032478198781, + "loss": 4.7689, + "mean_token_accuracy": 0.22624011039733888, + "num_tokens": 14023624.0, + "step": 6245 + }, + { + "entropy": 5.501367807388306, + "epoch": 6.75716603569497, + "grad_norm": 1.0390625, + "learning_rate": 0.00018111328429171747, + "loss": 4.8435, + "mean_token_accuracy": 0.22636697590351104, + "num_tokens": 14034873.0, + "step": 6250 + }, + { + "entropy": 5.493204069137573, + "epoch": 6.762574364521363, + "grad_norm": 1.0859375, + "learning_rate": 0.00018072366194809886, + "loss": 4.7605, + "mean_token_accuracy": 0.2378583535552025, + "num_tokens": 14045707.0, + "step": 6255 + }, + { + "entropy": 5.450195169448852, + "epoch": 6.767982693347756, + "grad_norm": 1.0546875, + "learning_rate": 0.00018033438220491055, + "loss": 4.8147, + "mean_token_accuracy": 0.24106226861476898, + "num_tokens": 14056774.0, + "step": 6260 + }, + { + "entropy": 5.395016431808472, + "epoch": 6.773391022174148, + "grad_norm": 1.1328125, + "learning_rate": 0.000179945446476796, + "loss": 4.6921, + "mean_token_accuracy": 0.24216643571853638, + "num_tokens": 14067358.0, + "step": 6265 + }, + { + "entropy": 5.455972051620483, + "epoch": 6.778799351000541, + "grad_norm": 1.0625, + "learning_rate": 0.00017955685617714867, + "loss": 4.7687, + "mean_token_accuracy": 0.23320888876914977, + "num_tokens": 14078336.0, + "step": 6270 + }, + { + "entropy": 5.525402450561524, + "epoch": 6.784207679826934, + "grad_norm": 0.98046875, + "learning_rate": 0.0001791686127181066, + "loss": 4.9202, + "mean_token_accuracy": 0.22177284806966782, + "num_tokens": 14091700.0, + "step": 6275 + }, + { + "entropy": 5.496983194351197, + "epoch": 6.789616008653326, + "grad_norm": 0.92578125, + "learning_rate": 0.00017878071751054736, + "loss": 4.837, + "mean_token_accuracy": 0.22447920441627503, + "num_tokens": 14103322.0, + "step": 6280 + }, + { + "entropy": 5.5157805442810055, + "epoch": 6.795024337479719, + "grad_norm": 1.09375, + "learning_rate": 0.00017839317196408305, + "loss": 4.8589, + "mean_token_accuracy": 0.2351175755262375, + "num_tokens": 14114758.0, + "step": 6285 + }, + { + "entropy": 5.3984763622283936, + "epoch": 6.800432666306111, + "grad_norm": 1.0625, + "learning_rate": 0.00017800597748705494, + "loss": 4.6811, + "mean_token_accuracy": 0.2468650996685028, + "num_tokens": 14124935.0, + "step": 6290 + }, + { + "entropy": 5.423747539520264, + "epoch": 6.805840995132504, + "grad_norm": 1.0, + "learning_rate": 0.0001776191354865289, + "loss": 4.7441, + "mean_token_accuracy": 0.24243067800998688, + "num_tokens": 14136102.0, + "step": 6295 + }, + { + "entropy": 5.47675724029541, + "epoch": 6.811249323958897, + "grad_norm": 1.0546875, + "learning_rate": 0.00017723264736828952, + "loss": 4.7482, + "mean_token_accuracy": 0.24305145889520646, + "num_tokens": 14147042.0, + "step": 6300 + }, + { + "entropy": 5.3783485889434814, + "epoch": 6.816657652785289, + "grad_norm": 1.140625, + "learning_rate": 0.00017684651453683554, + "loss": 4.6729, + "mean_token_accuracy": 0.24017125219106675, + "num_tokens": 14158045.0, + "step": 6305 + }, + { + "entropy": 5.419600963592529, + "epoch": 6.822065981611682, + "grad_norm": 1.125, + "learning_rate": 0.00017646073839537458, + "loss": 4.7921, + "mean_token_accuracy": 0.23383526057004927, + "num_tokens": 14169815.0, + "step": 6310 + }, + { + "entropy": 5.400470495223999, + "epoch": 6.827474310438075, + "grad_norm": 1.140625, + "learning_rate": 0.00017607532034581797, + "loss": 4.753, + "mean_token_accuracy": 0.22974225133657455, + "num_tokens": 14179965.0, + "step": 6315 + }, + { + "entropy": 5.536269664764404, + "epoch": 6.832882639264467, + "grad_norm": 1.1015625, + "learning_rate": 0.00017569026178877584, + "loss": 4.8555, + "mean_token_accuracy": 0.23882761746644973, + "num_tokens": 14191142.0, + "step": 6320 + }, + { + "entropy": 5.507011890411377, + "epoch": 6.83829096809086, + "grad_norm": 1.0390625, + "learning_rate": 0.0001753055641235519, + "loss": 4.7463, + "mean_token_accuracy": 0.2407160997390747, + "num_tokens": 14201765.0, + "step": 6325 + }, + { + "entropy": 5.463215494155884, + "epoch": 6.8436992969172525, + "grad_norm": 1.109375, + "learning_rate": 0.00017492122874813824, + "loss": 4.802, + "mean_token_accuracy": 0.23131725937128067, + "num_tokens": 14211995.0, + "step": 6330 + }, + { + "entropy": 5.5310859203338625, + "epoch": 6.849107625743645, + "grad_norm": 1.015625, + "learning_rate": 0.0001745372570592107, + "loss": 4.9147, + "mean_token_accuracy": 0.21638796478509903, + "num_tokens": 14225488.0, + "step": 6335 + }, + { + "entropy": 5.4645874977111815, + "epoch": 6.854515954570038, + "grad_norm": 1.0546875, + "learning_rate": 0.00017415365045212312, + "loss": 4.7541, + "mean_token_accuracy": 0.23150826692581178, + "num_tokens": 14237459.0, + "step": 6340 + }, + { + "entropy": 5.497331428527832, + "epoch": 6.85992428339643, + "grad_norm": 1.0625, + "learning_rate": 0.00017377041032090278, + "loss": 4.8308, + "mean_token_accuracy": 0.22778917849063873, + "num_tokens": 14248136.0, + "step": 6345 + }, + { + "entropy": 5.493479537963867, + "epoch": 6.865332612222823, + "grad_norm": 1.078125, + "learning_rate": 0.00017338753805824536, + "loss": 4.8375, + "mean_token_accuracy": 0.22441824078559874, + "num_tokens": 14260239.0, + "step": 6350 + }, + { + "entropy": 5.397213077545166, + "epoch": 6.870740941049216, + "grad_norm": 0.93359375, + "learning_rate": 0.00017300503505550939, + "loss": 4.7386, + "mean_token_accuracy": 0.23439123779535292, + "num_tokens": 14271825.0, + "step": 6355 + }, + { + "entropy": 5.371894598007202, + "epoch": 6.876149269875609, + "grad_norm": 1.0546875, + "learning_rate": 0.00017262290270271175, + "loss": 4.6615, + "mean_token_accuracy": 0.24698663353919983, + "num_tokens": 14282517.0, + "step": 6360 + }, + { + "entropy": 5.514883232116699, + "epoch": 6.881557598702001, + "grad_norm": 1.09375, + "learning_rate": 0.00017224114238852234, + "loss": 4.8437, + "mean_token_accuracy": 0.23700363636016847, + "num_tokens": 14293548.0, + "step": 6365 + }, + { + "entropy": 5.458508491516113, + "epoch": 6.886965927528394, + "grad_norm": 0.99609375, + "learning_rate": 0.0001718597555002588, + "loss": 4.8109, + "mean_token_accuracy": 0.2287731185555458, + "num_tokens": 14305782.0, + "step": 6370 + }, + { + "entropy": 5.464990663528442, + "epoch": 6.8923742563547865, + "grad_norm": 1.015625, + "learning_rate": 0.00017147874342388227, + "loss": 4.7446, + "mean_token_accuracy": 0.23635595589876174, + "num_tokens": 14315968.0, + "step": 6375 + }, + { + "entropy": 5.484697961807251, + "epoch": 6.897782585181179, + "grad_norm": 0.9609375, + "learning_rate": 0.0001710981075439913, + "loss": 4.7885, + "mean_token_accuracy": 0.23122970163822174, + "num_tokens": 14327579.0, + "step": 6380 + }, + { + "entropy": 5.556122732162476, + "epoch": 6.903190914007571, + "grad_norm": 1.0390625, + "learning_rate": 0.00017071784924381766, + "loss": 4.8536, + "mean_token_accuracy": 0.22923520505428313, + "num_tokens": 14338620.0, + "step": 6385 + }, + { + "entropy": 5.435343933105469, + "epoch": 6.908599242833964, + "grad_norm": 1.078125, + "learning_rate": 0.00017033796990522081, + "loss": 4.736, + "mean_token_accuracy": 0.23136261701583863, + "num_tokens": 14348638.0, + "step": 6390 + }, + { + "entropy": 5.469294881820678, + "epoch": 6.914007571660357, + "grad_norm": 1.109375, + "learning_rate": 0.00016995847090868322, + "loss": 4.8066, + "mean_token_accuracy": 0.23570748418569565, + "num_tokens": 14359253.0, + "step": 6395 + }, + { + "entropy": 5.488160896301269, + "epoch": 6.91941590048675, + "grad_norm": 1.0703125, + "learning_rate": 0.00016957935363330506, + "loss": 4.7846, + "mean_token_accuracy": 0.23263452798128129, + "num_tokens": 14370659.0, + "step": 6400 + }, + { + "entropy": 5.467180585861206, + "epoch": 6.924824229313142, + "grad_norm": 1.125, + "learning_rate": 0.00016920061945679951, + "loss": 4.8172, + "mean_token_accuracy": 0.22805383503437043, + "num_tokens": 14381136.0, + "step": 6405 + }, + { + "entropy": 5.463050317764282, + "epoch": 6.930232558139535, + "grad_norm": 0.99609375, + "learning_rate": 0.0001688222697554872, + "loss": 4.8262, + "mean_token_accuracy": 0.22429136484861373, + "num_tokens": 14392789.0, + "step": 6410 + }, + { + "entropy": 5.463587474822998, + "epoch": 6.935640886965928, + "grad_norm": 0.96875, + "learning_rate": 0.000168444305904292, + "loss": 4.7404, + "mean_token_accuracy": 0.23504639863967897, + "num_tokens": 14402808.0, + "step": 6415 + }, + { + "entropy": 5.518123960494995, + "epoch": 6.9410492157923205, + "grad_norm": 1.046875, + "learning_rate": 0.00016806672927673552, + "loss": 4.8328, + "mean_token_accuracy": 0.22986545860767366, + "num_tokens": 14413961.0, + "step": 6420 + }, + { + "entropy": 5.479937028884888, + "epoch": 6.9464575446187125, + "grad_norm": 1.15625, + "learning_rate": 0.00016768954124493188, + "loss": 4.7478, + "mean_token_accuracy": 0.2352260708808899, + "num_tokens": 14424416.0, + "step": 6425 + }, + { + "entropy": 5.5164111137390135, + "epoch": 6.951865873445105, + "grad_norm": 1.125, + "learning_rate": 0.00016731274317958333, + "loss": 4.8971, + "mean_token_accuracy": 0.22941209524869918, + "num_tokens": 14435771.0, + "step": 6430 + }, + { + "entropy": 5.4186872959136965, + "epoch": 6.957274202271498, + "grad_norm": 0.99609375, + "learning_rate": 0.0001669363364499749, + "loss": 4.73, + "mean_token_accuracy": 0.23911819905042647, + "num_tokens": 14447106.0, + "step": 6435 + }, + { + "entropy": 5.442362308502197, + "epoch": 6.962682531097891, + "grad_norm": 1.03125, + "learning_rate": 0.00016656032242396958, + "loss": 4.8122, + "mean_token_accuracy": 0.2302314579486847, + "num_tokens": 14458698.0, + "step": 6440 + }, + { + "entropy": 5.453445291519165, + "epoch": 6.968090859924283, + "grad_norm": 1.078125, + "learning_rate": 0.00016618470246800322, + "loss": 4.7455, + "mean_token_accuracy": 0.23800296932458878, + "num_tokens": 14469440.0, + "step": 6445 + }, + { + "entropy": 5.490810489654541, + "epoch": 6.973499188750676, + "grad_norm": 1.1015625, + "learning_rate": 0.00016580947794707937, + "loss": 4.8024, + "mean_token_accuracy": 0.24103218615055083, + "num_tokens": 14480256.0, + "step": 6450 + }, + { + "entropy": 5.470514965057373, + "epoch": 6.978907517577069, + "grad_norm": 1.046875, + "learning_rate": 0.00016543465022476512, + "loss": 4.8481, + "mean_token_accuracy": 0.23317314237356185, + "num_tokens": 14492347.0, + "step": 6455 + }, + { + "entropy": 5.454502725601197, + "epoch": 6.984315846403462, + "grad_norm": 0.9921875, + "learning_rate": 0.0001650602206631852, + "loss": 4.7853, + "mean_token_accuracy": 0.22942974418401718, + "num_tokens": 14503492.0, + "step": 6460 + }, + { + "entropy": 5.506963491439819, + "epoch": 6.9897241752298545, + "grad_norm": 1.09375, + "learning_rate": 0.00016468619062301739, + "loss": 4.9144, + "mean_token_accuracy": 0.2240392178297043, + "num_tokens": 14515843.0, + "step": 6465 + }, + { + "entropy": 5.422661304473877, + "epoch": 6.995132504056246, + "grad_norm": 1.1171875, + "learning_rate": 0.0001643125614634877, + "loss": 4.7668, + "mean_token_accuracy": 0.22867323458194733, + "num_tokens": 14526733.0, + "step": 6470 + }, + { + "entropy": 5.484320746527778, + "epoch": 7.0, + "grad_norm": 2.09375, + "learning_rate": 0.0001639393345423656, + "loss": 4.9156, + "mean_token_accuracy": 0.22375796569718254, + "num_tokens": 14538223.0, + "step": 6475 + }, + { + "entropy": 5.473077964782715, + "epoch": 7.005408328826393, + "grad_norm": 0.9921875, + "learning_rate": 0.00016356651121595832, + "loss": 4.6896, + "mean_token_accuracy": 0.23437674343585968, + "num_tokens": 14549388.0, + "step": 6480 + }, + { + "entropy": 5.507199287414551, + "epoch": 7.010816657652786, + "grad_norm": 1.078125, + "learning_rate": 0.0001631940928391068, + "loss": 4.7129, + "mean_token_accuracy": 0.23249671310186387, + "num_tokens": 14561300.0, + "step": 6485 + }, + { + "entropy": 5.418299865722656, + "epoch": 7.016224986479178, + "grad_norm": 1.1328125, + "learning_rate": 0.00016282208076518032, + "loss": 4.6235, + "mean_token_accuracy": 0.24409482777118682, + "num_tokens": 14573169.0, + "step": 6490 + }, + { + "entropy": 5.460235691070556, + "epoch": 7.0216333153055706, + "grad_norm": 1.09375, + "learning_rate": 0.00016245047634607155, + "loss": 4.7435, + "mean_token_accuracy": 0.23163942545652388, + "num_tokens": 14585035.0, + "step": 6495 + }, + { + "entropy": 5.408029985427857, + "epoch": 7.027041644131963, + "grad_norm": 1.15625, + "learning_rate": 0.0001620792809321919, + "loss": 4.6479, + "mean_token_accuracy": 0.25236437320709226, + "num_tokens": 14596184.0, + "step": 6500 + }, + { + "epoch": 7.027041644131963, + "eval_entropy": 5.3447701345790515, + "eval_loss": 5.831712245941162, + "eval_mean_token_accuracy": 0.18428871013562786, + "eval_num_tokens": 14596184.0, + "eval_runtime": 3.5434, + "eval_samples_per_second": 991.978, + "eval_steps_per_second": 124.174, + "step": 6500 + }, + { + "entropy": 5.464370441436768, + "epoch": 7.032449972958356, + "grad_norm": 1.0625, + "learning_rate": 0.00016170849587246623, + "loss": 4.6636, + "mean_token_accuracy": 0.24691879898309707, + "num_tokens": 14606987.0, + "step": 6505 + }, + { + "entropy": 5.382754278182984, + "epoch": 7.037858301784748, + "grad_norm": 1.0859375, + "learning_rate": 0.00016133812251432826, + "loss": 4.6446, + "mean_token_accuracy": 0.24152851849794388, + "num_tokens": 14617600.0, + "step": 6510 + }, + { + "entropy": 5.545627021789551, + "epoch": 7.043266630611141, + "grad_norm": 1.140625, + "learning_rate": 0.0001609681622037159, + "loss": 4.8768, + "mean_token_accuracy": 0.23409285694360732, + "num_tokens": 14629551.0, + "step": 6515 + }, + { + "entropy": 5.513275575637818, + "epoch": 7.048674959437534, + "grad_norm": 0.9609375, + "learning_rate": 0.00016059861628506557, + "loss": 4.7503, + "mean_token_accuracy": 0.23408671617507934, + "num_tokens": 14641322.0, + "step": 6520 + }, + { + "entropy": 5.477088546752929, + "epoch": 7.054083288263927, + "grad_norm": 1.0078125, + "learning_rate": 0.00016022948610130804, + "loss": 4.6729, + "mean_token_accuracy": 0.24914150536060334, + "num_tokens": 14653380.0, + "step": 6525 + }, + { + "entropy": 5.466812229156494, + "epoch": 7.059491617090319, + "grad_norm": 1.140625, + "learning_rate": 0.0001598607729938632, + "loss": 4.6486, + "mean_token_accuracy": 0.24966771751642228, + "num_tokens": 14664043.0, + "step": 6530 + }, + { + "entropy": 5.344011831283569, + "epoch": 7.064899945916712, + "grad_norm": 1.078125, + "learning_rate": 0.00015949247830263538, + "loss": 4.5761, + "mean_token_accuracy": 0.2504953399300575, + "num_tokens": 14675117.0, + "step": 6535 + }, + { + "entropy": 5.410769510269165, + "epoch": 7.0703082747431045, + "grad_norm": 0.98828125, + "learning_rate": 0.00015912460336600838, + "loss": 4.6592, + "mean_token_accuracy": 0.24368593096733093, + "num_tokens": 14686908.0, + "step": 6540 + }, + { + "entropy": 5.454552125930786, + "epoch": 7.075716603569497, + "grad_norm": 1.1171875, + "learning_rate": 0.00015875714952084054, + "loss": 4.651, + "mean_token_accuracy": 0.23747905492782592, + "num_tokens": 14698997.0, + "step": 6545 + }, + { + "entropy": 5.482502889633179, + "epoch": 7.081124932395889, + "grad_norm": 1.125, + "learning_rate": 0.00015839011810245984, + "loss": 4.7622, + "mean_token_accuracy": 0.2314816802740097, + "num_tokens": 14709586.0, + "step": 6550 + }, + { + "entropy": 5.58815712928772, + "epoch": 7.086533261222282, + "grad_norm": 1.015625, + "learning_rate": 0.0001580235104446596, + "loss": 4.8083, + "mean_token_accuracy": 0.23637845516204833, + "num_tokens": 14720821.0, + "step": 6555 + }, + { + "entropy": 5.534481573104858, + "epoch": 7.091941590048675, + "grad_norm": 1.125, + "learning_rate": 0.00015765732787969267, + "loss": 4.7914, + "mean_token_accuracy": 0.2330068051815033, + "num_tokens": 14732218.0, + "step": 6560 + }, + { + "entropy": 5.500377082824707, + "epoch": 7.097349918875068, + "grad_norm": 1.125, + "learning_rate": 0.00015729157173826724, + "loss": 4.7649, + "mean_token_accuracy": 0.23969083726406099, + "num_tokens": 14742306.0, + "step": 6565 + }, + { + "entropy": 5.4900023460388185, + "epoch": 7.10275824770146, + "grad_norm": 1.1171875, + "learning_rate": 0.00015692624334954236, + "loss": 4.6786, + "mean_token_accuracy": 0.24366039633750916, + "num_tokens": 14752924.0, + "step": 6570 + }, + { + "entropy": 5.496832656860351, + "epoch": 7.108166576527853, + "grad_norm": 1.046875, + "learning_rate": 0.0001565613440411219, + "loss": 4.7231, + "mean_token_accuracy": 0.24004672914743425, + "num_tokens": 14764161.0, + "step": 6575 + }, + { + "entropy": 5.440928888320923, + "epoch": 7.113574905354246, + "grad_norm": 1.1328125, + "learning_rate": 0.0001561968751390509, + "loss": 4.6765, + "mean_token_accuracy": 0.24878692924976348, + "num_tokens": 14774520.0, + "step": 6580 + }, + { + "entropy": 5.453061580657959, + "epoch": 7.1189832341806385, + "grad_norm": 1.15625, + "learning_rate": 0.00015583283796781022, + "loss": 4.6932, + "mean_token_accuracy": 0.24243371188640594, + "num_tokens": 14785243.0, + "step": 6585 + }, + { + "entropy": 5.52647213935852, + "epoch": 7.1243915630070305, + "grad_norm": 1.171875, + "learning_rate": 0.00015546923385031169, + "loss": 4.7412, + "mean_token_accuracy": 0.23893113285303116, + "num_tokens": 14796152.0, + "step": 6590 + }, + { + "entropy": 5.4624011516571045, + "epoch": 7.129799891833423, + "grad_norm": 0.9296875, + "learning_rate": 0.00015510606410789368, + "loss": 4.6761, + "mean_token_accuracy": 0.24187866747379302, + "num_tokens": 14807849.0, + "step": 6595 + }, + { + "entropy": 5.4489339828491214, + "epoch": 7.135208220659816, + "grad_norm": 1.0234375, + "learning_rate": 0.0001547433300603157, + "loss": 4.7278, + "mean_token_accuracy": 0.23658954948186875, + "num_tokens": 14819402.0, + "step": 6600 + }, + { + "entropy": 5.519697618484497, + "epoch": 7.140616549486209, + "grad_norm": 0.97265625, + "learning_rate": 0.00015438103302575413, + "loss": 4.7809, + "mean_token_accuracy": 0.22943075448274614, + "num_tokens": 14831801.0, + "step": 6605 + }, + { + "entropy": 5.458428382873535, + "epoch": 7.146024878312601, + "grad_norm": 1.046875, + "learning_rate": 0.0001540191743207974, + "loss": 4.6665, + "mean_token_accuracy": 0.24807371944189072, + "num_tokens": 14842758.0, + "step": 6610 + }, + { + "entropy": 5.438600254058838, + "epoch": 7.151433207138994, + "grad_norm": 1.1484375, + "learning_rate": 0.0001536577552604407, + "loss": 4.6907, + "mean_token_accuracy": 0.24510224908590317, + "num_tokens": 14853493.0, + "step": 6615 + }, + { + "entropy": 5.459250783920288, + "epoch": 7.156841535965387, + "grad_norm": 1.0546875, + "learning_rate": 0.00015329677715808176, + "loss": 4.6939, + "mean_token_accuracy": 0.23562195599079133, + "num_tokens": 14863561.0, + "step": 6620 + }, + { + "entropy": 5.4494476318359375, + "epoch": 7.16224986479178, + "grad_norm": 1.0390625, + "learning_rate": 0.00015293624132551591, + "loss": 4.7133, + "mean_token_accuracy": 0.237583789229393, + "num_tokens": 14874501.0, + "step": 6625 + }, + { + "entropy": 5.418937349319458, + "epoch": 7.167658193618172, + "grad_norm": 1.1484375, + "learning_rate": 0.0001525761490729312, + "loss": 4.6094, + "mean_token_accuracy": 0.24090600162744522, + "num_tokens": 14885457.0, + "step": 6630 + }, + { + "entropy": 5.386363983154297, + "epoch": 7.173066522444564, + "grad_norm": 1.140625, + "learning_rate": 0.0001522165017089036, + "loss": 4.6538, + "mean_token_accuracy": 0.24340963810682298, + "num_tokens": 14895812.0, + "step": 6635 + }, + { + "entropy": 5.456580400466919, + "epoch": 7.178474851270957, + "grad_norm": 1.1484375, + "learning_rate": 0.00015185730054039266, + "loss": 4.6593, + "mean_token_accuracy": 0.2551399230957031, + "num_tokens": 14907367.0, + "step": 6640 + }, + { + "entropy": 5.359630060195923, + "epoch": 7.18388318009735, + "grad_norm": 1.0859375, + "learning_rate": 0.00015149854687273594, + "loss": 4.6462, + "mean_token_accuracy": 0.24483772069215776, + "num_tokens": 14918931.0, + "step": 6645 + }, + { + "entropy": 5.4493739128112795, + "epoch": 7.189291508923742, + "grad_norm": 1.203125, + "learning_rate": 0.0001511402420096455, + "loss": 4.6726, + "mean_token_accuracy": 0.24823494553565978, + "num_tokens": 14929518.0, + "step": 6650 + }, + { + "entropy": 5.420223188400269, + "epoch": 7.194699837750135, + "grad_norm": 1.0703125, + "learning_rate": 0.0001507823872532017, + "loss": 4.6215, + "mean_token_accuracy": 0.25121530294418337, + "num_tokens": 14940249.0, + "step": 6655 + }, + { + "entropy": 5.487333488464356, + "epoch": 7.200108166576528, + "grad_norm": 1.0859375, + "learning_rate": 0.00015042498390384966, + "loss": 4.651, + "mean_token_accuracy": 0.2495026633143425, + "num_tokens": 14950645.0, + "step": 6660 + }, + { + "entropy": 5.48924765586853, + "epoch": 7.205516495402921, + "grad_norm": 1.1484375, + "learning_rate": 0.00015006803326039403, + "loss": 4.6803, + "mean_token_accuracy": 0.24450889825820923, + "num_tokens": 14961687.0, + "step": 6665 + }, + { + "entropy": 5.495927572250366, + "epoch": 7.210924824229313, + "grad_norm": 1.1328125, + "learning_rate": 0.00014971153661999425, + "loss": 4.7147, + "mean_token_accuracy": 0.23855119198560715, + "num_tokens": 14973119.0, + "step": 6670 + }, + { + "entropy": 5.49677472114563, + "epoch": 7.2163331530557056, + "grad_norm": 1.1015625, + "learning_rate": 0.0001493554952781599, + "loss": 4.7157, + "mean_token_accuracy": 0.2383064314723015, + "num_tokens": 14984826.0, + "step": 6675 + }, + { + "entropy": 5.433115148544312, + "epoch": 7.221741481882098, + "grad_norm": 1.1484375, + "learning_rate": 0.00014899991052874618, + "loss": 4.6384, + "mean_token_accuracy": 0.24932982623577118, + "num_tokens": 14996853.0, + "step": 6680 + }, + { + "entropy": 5.490801095962524, + "epoch": 7.227149810708491, + "grad_norm": 1.1171875, + "learning_rate": 0.00014864478366394853, + "loss": 4.723, + "mean_token_accuracy": 0.2382085368037224, + "num_tokens": 15006941.0, + "step": 6685 + }, + { + "entropy": 5.507191753387451, + "epoch": 7.232558139534884, + "grad_norm": 1.0234375, + "learning_rate": 0.0001482901159742992, + "loss": 4.7574, + "mean_token_accuracy": 0.23971456587314605, + "num_tokens": 15018477.0, + "step": 6690 + }, + { + "entropy": 5.495437908172607, + "epoch": 7.237966468361276, + "grad_norm": 1.078125, + "learning_rate": 0.0001479359087486613, + "loss": 4.7285, + "mean_token_accuracy": 0.24551907330751419, + "num_tokens": 15030454.0, + "step": 6695 + }, + { + "entropy": 5.439489364624023, + "epoch": 7.243374797187669, + "grad_norm": 1.1171875, + "learning_rate": 0.00014758216327422457, + "loss": 4.6662, + "mean_token_accuracy": 0.245236536860466, + "num_tokens": 15040662.0, + "step": 6700 + }, + { + "entropy": 5.4497535705566404, + "epoch": 7.248783126014062, + "grad_norm": 1.0859375, + "learning_rate": 0.00014722888083650094, + "loss": 4.7445, + "mean_token_accuracy": 0.23666218519210816, + "num_tokens": 15051414.0, + "step": 6705 + }, + { + "entropy": 5.429581880569458, + "epoch": 7.254191454840455, + "grad_norm": 1.09375, + "learning_rate": 0.00014687606271931961, + "loss": 4.6776, + "mean_token_accuracy": 0.24278885275125503, + "num_tokens": 15062563.0, + "step": 6710 + }, + { + "entropy": 5.483661127090454, + "epoch": 7.259599783666847, + "grad_norm": 1.1484375, + "learning_rate": 0.00014652371020482246, + "loss": 4.78, + "mean_token_accuracy": 0.2354867562651634, + "num_tokens": 15074443.0, + "step": 6715 + }, + { + "entropy": 5.4655379295349125, + "epoch": 7.2650081124932395, + "grad_norm": 1.09375, + "learning_rate": 0.0001461718245734594, + "loss": 4.6926, + "mean_token_accuracy": 0.2432758167386055, + "num_tokens": 15085920.0, + "step": 6720 + }, + { + "entropy": 5.451245069503784, + "epoch": 7.270416441319632, + "grad_norm": 1.1171875, + "learning_rate": 0.0001458204071039834, + "loss": 4.6462, + "mean_token_accuracy": 0.2515479028224945, + "num_tokens": 15096851.0, + "step": 6725 + }, + { + "entropy": 5.4489991664886475, + "epoch": 7.275824770146025, + "grad_norm": 0.99609375, + "learning_rate": 0.0001454694590734466, + "loss": 4.5771, + "mean_token_accuracy": 0.25787000358104706, + "num_tokens": 15107217.0, + "step": 6730 + }, + { + "entropy": 5.458311605453491, + "epoch": 7.281233098972417, + "grad_norm": 1.171875, + "learning_rate": 0.0001451189817571949, + "loss": 4.6624, + "mean_token_accuracy": 0.24796743094921112, + "num_tokens": 15117464.0, + "step": 6735 + }, + { + "entropy": 5.426720666885376, + "epoch": 7.28664142779881, + "grad_norm": 1.1015625, + "learning_rate": 0.00014476897642886355, + "loss": 4.6601, + "mean_token_accuracy": 0.2457870662212372, + "num_tokens": 15127801.0, + "step": 6740 + }, + { + "entropy": 5.524455165863037, + "epoch": 7.292049756625203, + "grad_norm": 1.1171875, + "learning_rate": 0.00014441944436037287, + "loss": 4.8401, + "mean_token_accuracy": 0.2326320692896843, + "num_tokens": 15139117.0, + "step": 6745 + }, + { + "entropy": 5.410741662979126, + "epoch": 7.297458085451596, + "grad_norm": 1.1640625, + "learning_rate": 0.00014407038682192312, + "loss": 4.7018, + "mean_token_accuracy": 0.23679485470056533, + "num_tokens": 15150205.0, + "step": 6750 + }, + { + "entropy": 5.4943968772888185, + "epoch": 7.302866414277988, + "grad_norm": 1.1640625, + "learning_rate": 0.0001437218050819902, + "loss": 4.7458, + "mean_token_accuracy": 0.23985870331525802, + "num_tokens": 15160813.0, + "step": 6755 + }, + { + "entropy": 5.4374031066894535, + "epoch": 7.308274743104381, + "grad_norm": 1.15625, + "learning_rate": 0.000143373700407321, + "loss": 4.6973, + "mean_token_accuracy": 0.23702437579631805, + "num_tokens": 15171609.0, + "step": 6760 + }, + { + "entropy": 5.454741048812866, + "epoch": 7.3136830719307735, + "grad_norm": 1.0859375, + "learning_rate": 0.00014302607406292873, + "loss": 4.6596, + "mean_token_accuracy": 0.2430892437696457, + "num_tokens": 15183030.0, + "step": 6765 + }, + { + "entropy": 5.472054719924927, + "epoch": 7.319091400757166, + "grad_norm": 1.234375, + "learning_rate": 0.00014267892731208826, + "loss": 4.7313, + "mean_token_accuracy": 0.2432381123304367, + "num_tokens": 15193365.0, + "step": 6770 + }, + { + "entropy": 5.426125717163086, + "epoch": 7.324499729583558, + "grad_norm": 1.0703125, + "learning_rate": 0.0001423322614163318, + "loss": 4.6888, + "mean_token_accuracy": 0.2341487318277359, + "num_tokens": 15205075.0, + "step": 6775 + }, + { + "entropy": 5.46237211227417, + "epoch": 7.329908058409951, + "grad_norm": 1.1171875, + "learning_rate": 0.00014198607763544392, + "loss": 4.7177, + "mean_token_accuracy": 0.2393790975213051, + "num_tokens": 15216655.0, + "step": 6780 + }, + { + "entropy": 5.436810684204102, + "epoch": 7.335316387236344, + "grad_norm": 1.0703125, + "learning_rate": 0.00014164037722745715, + "loss": 4.6884, + "mean_token_accuracy": 0.24960858076810838, + "num_tokens": 15228130.0, + "step": 6785 + }, + { + "entropy": 5.390351629257202, + "epoch": 7.340724716062737, + "grad_norm": 0.9609375, + "learning_rate": 0.0001412951614486479, + "loss": 4.6332, + "mean_token_accuracy": 0.24285543262958526, + "num_tokens": 15239019.0, + "step": 6790 + }, + { + "entropy": 5.483645868301392, + "epoch": 7.346133044889129, + "grad_norm": 1.0625, + "learning_rate": 0.00014095043155353085, + "loss": 4.7357, + "mean_token_accuracy": 0.23854799568653107, + "num_tokens": 15250325.0, + "step": 6795 + }, + { + "entropy": 5.4402210235595705, + "epoch": 7.351541373715522, + "grad_norm": 1.234375, + "learning_rate": 0.0001406061887948553, + "loss": 4.7688, + "mean_token_accuracy": 0.22925260066986083, + "num_tokens": 15261670.0, + "step": 6800 + }, + { + "entropy": 5.5303246021270756, + "epoch": 7.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 0.00014026243442360025, + "loss": 4.742, + "mean_token_accuracy": 0.2413437023758888, + "num_tokens": 15273660.0, + "step": 6805 + }, + { + "entropy": 5.464653587341308, + "epoch": 7.3623580313683075, + "grad_norm": 0.98046875, + "learning_rate": 0.0001399191696889699, + "loss": 4.6256, + "mean_token_accuracy": 0.2464908093214035, + "num_tokens": 15284593.0, + "step": 6810 + }, + { + "entropy": 5.448968410491943, + "epoch": 7.367766360194699, + "grad_norm": 1.0390625, + "learning_rate": 0.0001395763958383891, + "loss": 4.732, + "mean_token_accuracy": 0.23267947733402253, + "num_tokens": 15295860.0, + "step": 6815 + }, + { + "entropy": 5.386800622940063, + "epoch": 7.373174689021092, + "grad_norm": 1.140625, + "learning_rate": 0.0001392341141174987, + "loss": 4.6744, + "mean_token_accuracy": 0.2403596669435501, + "num_tokens": 15306718.0, + "step": 6820 + }, + { + "entropy": 5.456715679168701, + "epoch": 7.378583017847485, + "grad_norm": 0.984375, + "learning_rate": 0.00013889232577015125, + "loss": 4.6425, + "mean_token_accuracy": 0.24926920384168624, + "num_tokens": 15318213.0, + "step": 6825 + }, + { + "entropy": 5.4435365200042725, + "epoch": 7.383991346673878, + "grad_norm": 1.203125, + "learning_rate": 0.00013855103203840673, + "loss": 4.7027, + "mean_token_accuracy": 0.24004194885492325, + "num_tokens": 15328932.0, + "step": 6830 + }, + { + "entropy": 5.453626346588135, + "epoch": 7.38939967550027, + "grad_norm": 1.078125, + "learning_rate": 0.00013821023416252693, + "loss": 4.7246, + "mean_token_accuracy": 0.23861720710992812, + "num_tokens": 15340370.0, + "step": 6835 + }, + { + "entropy": 5.450275945663452, + "epoch": 7.394808004326663, + "grad_norm": 1.078125, + "learning_rate": 0.00013786993338097236, + "loss": 4.7441, + "mean_token_accuracy": 0.23446590304374695, + "num_tokens": 15351567.0, + "step": 6840 + }, + { + "entropy": 5.482220315933228, + "epoch": 7.400216333153056, + "grad_norm": 1.2265625, + "learning_rate": 0.00013753013093039673, + "loss": 4.6906, + "mean_token_accuracy": 0.24328313022851944, + "num_tokens": 15361945.0, + "step": 6845 + }, + { + "entropy": 5.375622081756592, + "epoch": 7.405624661979449, + "grad_norm": 0.9453125, + "learning_rate": 0.000137190828045643, + "loss": 4.6098, + "mean_token_accuracy": 0.24908155649900438, + "num_tokens": 15374267.0, + "step": 6850 + }, + { + "entropy": 5.38783860206604, + "epoch": 7.411032990805841, + "grad_norm": 1.1875, + "learning_rate": 0.00013685202595973861, + "loss": 4.6344, + "mean_token_accuracy": 0.2504056841135025, + "num_tokens": 15384323.0, + "step": 6855 + }, + { + "entropy": 5.458398628234863, + "epoch": 7.416441319632233, + "grad_norm": 1.03125, + "learning_rate": 0.00013651372590389122, + "loss": 4.6744, + "mean_token_accuracy": 0.23910631090402604, + "num_tokens": 15395034.0, + "step": 6860 + }, + { + "entropy": 5.509616470336914, + "epoch": 7.421849648458626, + "grad_norm": 1.1015625, + "learning_rate": 0.00013617592910748378, + "loss": 4.7472, + "mean_token_accuracy": 0.2403371140360832, + "num_tokens": 15405948.0, + "step": 6865 + }, + { + "entropy": 5.450651597976685, + "epoch": 7.427257977285019, + "grad_norm": 1.078125, + "learning_rate": 0.00013583863679807092, + "loss": 4.7383, + "mean_token_accuracy": 0.24283735305070878, + "num_tokens": 15417200.0, + "step": 6870 + }, + { + "entropy": 5.399878263473511, + "epoch": 7.432666306111411, + "grad_norm": 1.140625, + "learning_rate": 0.00013550185020137344, + "loss": 4.6714, + "mean_token_accuracy": 0.23909084647893905, + "num_tokens": 15428525.0, + "step": 6875 + }, + { + "entropy": 5.433660840988159, + "epoch": 7.438074634937804, + "grad_norm": 1.171875, + "learning_rate": 0.0001351655705412747, + "loss": 4.7263, + "mean_token_accuracy": 0.24089816063642502, + "num_tokens": 15440464.0, + "step": 6880 + }, + { + "entropy": 5.434780931472778, + "epoch": 7.443482963764197, + "grad_norm": 0.890625, + "learning_rate": 0.0001348297990398158, + "loss": 4.6652, + "mean_token_accuracy": 0.24440051168203353, + "num_tokens": 15452141.0, + "step": 6885 + }, + { + "entropy": 5.389398670196533, + "epoch": 7.44889129259059, + "grad_norm": 1.28125, + "learning_rate": 0.00013449453691719108, + "loss": 4.6366, + "mean_token_accuracy": 0.2456216871738434, + "num_tokens": 15463550.0, + "step": 6890 + }, + { + "entropy": 5.477556848526001, + "epoch": 7.4542996214169825, + "grad_norm": 1.1484375, + "learning_rate": 0.0001341597853917439, + "loss": 4.7464, + "mean_token_accuracy": 0.23704748153686522, + "num_tokens": 15475021.0, + "step": 6895 + }, + { + "entropy": 5.442272329330445, + "epoch": 7.4597079502433745, + "grad_norm": 1.1015625, + "learning_rate": 0.00013382554567996214, + "loss": 4.6938, + "mean_token_accuracy": 0.24450730830430983, + "num_tokens": 15486567.0, + "step": 6900 + }, + { + "entropy": 5.471250104904175, + "epoch": 7.465116279069767, + "grad_norm": 1.0703125, + "learning_rate": 0.00013349181899647346, + "loss": 4.7249, + "mean_token_accuracy": 0.23975735455751418, + "num_tokens": 15498133.0, + "step": 6905 + }, + { + "entropy": 5.447659826278686, + "epoch": 7.47052460789616, + "grad_norm": 1.046875, + "learning_rate": 0.00013315860655404167, + "loss": 4.7895, + "mean_token_accuracy": 0.23136132061481476, + "num_tokens": 15509723.0, + "step": 6910 + }, + { + "entropy": 5.456309413909912, + "epoch": 7.475932936722553, + "grad_norm": 1.078125, + "learning_rate": 0.0001328259095635615, + "loss": 4.7115, + "mean_token_accuracy": 0.23292717039585115, + "num_tokens": 15519590.0, + "step": 6915 + }, + { + "entropy": 5.4850624084472654, + "epoch": 7.481341265548945, + "grad_norm": 1.0703125, + "learning_rate": 0.0001324937292340545, + "loss": 4.7387, + "mean_token_accuracy": 0.23711150139570236, + "num_tokens": 15531112.0, + "step": 6920 + }, + { + "entropy": 5.4384623050689695, + "epoch": 7.486749594375338, + "grad_norm": 1.15625, + "learning_rate": 0.00013216206677266475, + "loss": 4.6405, + "mean_token_accuracy": 0.24470630288124084, + "num_tokens": 15541341.0, + "step": 6925 + }, + { + "entropy": 5.4840343475341795, + "epoch": 7.492157923201731, + "grad_norm": 1.1171875, + "learning_rate": 0.0001318309233846544, + "loss": 4.7422, + "mean_token_accuracy": 0.236113977432251, + "num_tokens": 15553025.0, + "step": 6930 + }, + { + "entropy": 5.563514947891235, + "epoch": 7.497566252028124, + "grad_norm": 1.1328125, + "learning_rate": 0.00013150030027339935, + "loss": 4.7686, + "mean_token_accuracy": 0.23476097285747527, + "num_tokens": 15563824.0, + "step": 6935 + }, + { + "entropy": 5.46577525138855, + "epoch": 7.502974580854516, + "grad_norm": 1.1796875, + "learning_rate": 0.00013117019864038483, + "loss": 4.7118, + "mean_token_accuracy": 0.24245630502700805, + "num_tokens": 15575129.0, + "step": 6940 + }, + { + "entropy": 5.415052223205566, + "epoch": 7.5083829096809085, + "grad_norm": 0.9453125, + "learning_rate": 0.00013084061968520063, + "loss": 4.675, + "mean_token_accuracy": 0.2389229193329811, + "num_tokens": 15586018.0, + "step": 6945 + }, + { + "entropy": 5.501877355575561, + "epoch": 7.513791238507301, + "grad_norm": 1.0546875, + "learning_rate": 0.00013051156460553776, + "loss": 4.8056, + "mean_token_accuracy": 0.2328426405787468, + "num_tokens": 15597062.0, + "step": 6950 + }, + { + "entropy": 5.530647611618042, + "epoch": 7.519199567333694, + "grad_norm": 1.0546875, + "learning_rate": 0.00013018303459718305, + "loss": 4.8664, + "mean_token_accuracy": 0.2271554872393608, + "num_tokens": 15608666.0, + "step": 6955 + }, + { + "entropy": 5.479798126220703, + "epoch": 7.524607896160086, + "grad_norm": 1.046875, + "learning_rate": 0.00012985503085401523, + "loss": 4.7171, + "mean_token_accuracy": 0.241233229637146, + "num_tokens": 15619764.0, + "step": 6960 + }, + { + "entropy": 5.508718585968017, + "epoch": 7.530016224986479, + "grad_norm": 1.0546875, + "learning_rate": 0.00012952755456800067, + "loss": 4.7602, + "mean_token_accuracy": 0.23189041912555694, + "num_tokens": 15631611.0, + "step": 6965 + }, + { + "entropy": 5.498543310165405, + "epoch": 7.535424553812872, + "grad_norm": 1.109375, + "learning_rate": 0.000129200606929189, + "loss": 4.7292, + "mean_token_accuracy": 0.24636310935020447, + "num_tokens": 15642392.0, + "step": 6970 + }, + { + "entropy": 5.480962038040161, + "epoch": 7.540832882639265, + "grad_norm": 1.0078125, + "learning_rate": 0.0001288741891257087, + "loss": 4.725, + "mean_token_accuracy": 0.2412426218390465, + "num_tokens": 15655304.0, + "step": 6975 + }, + { + "entropy": 5.409903812408447, + "epoch": 7.546241211465657, + "grad_norm": 1.0546875, + "learning_rate": 0.00012854830234376277, + "loss": 4.6985, + "mean_token_accuracy": 0.23944918811321259, + "num_tokens": 15666055.0, + "step": 6980 + }, + { + "entropy": 5.448230409622193, + "epoch": 7.55164954029205, + "grad_norm": 1.1171875, + "learning_rate": 0.0001282229477676246, + "loss": 4.7246, + "mean_token_accuracy": 0.2372318223118782, + "num_tokens": 15676287.0, + "step": 6985 + }, + { + "entropy": 5.526154470443726, + "epoch": 7.5570578691184425, + "grad_norm": 1.171875, + "learning_rate": 0.0001278981265796334, + "loss": 4.7988, + "mean_token_accuracy": 0.23436320722103118, + "num_tokens": 15687448.0, + "step": 6990 + }, + { + "entropy": 5.418953084945679, + "epoch": 7.562466197944835, + "grad_norm": 1.09375, + "learning_rate": 0.00012757383996019024, + "loss": 4.6595, + "mean_token_accuracy": 0.23905721604824065, + "num_tokens": 15698303.0, + "step": 6995 + }, + { + "entropy": 5.4294517993927, + "epoch": 7.567874526771227, + "grad_norm": 1.140625, + "learning_rate": 0.0001272500890877533, + "loss": 4.5963, + "mean_token_accuracy": 0.2506329596042633, + "num_tokens": 15708905.0, + "step": 7000 + }, + { + "epoch": 7.567874526771227, + "eval_entropy": 5.361298730156639, + "eval_loss": 5.836106300354004, + "eval_mean_token_accuracy": 0.18401451317424125, + "eval_num_tokens": 15708905.0, + "eval_runtime": 3.5384, + "eval_samples_per_second": 993.377, + "eval_steps_per_second": 124.349, + "step": 7000 + }, + { + "entropy": 5.410555648803711, + "epoch": 7.57328285559762, + "grad_norm": 1.1171875, + "learning_rate": 0.00012692687513883393, + "loss": 4.6628, + "mean_token_accuracy": 0.247932131588459, + "num_tokens": 15719394.0, + "step": 7005 + }, + { + "entropy": 5.488701438903808, + "epoch": 7.578691184424013, + "grad_norm": 1.1171875, + "learning_rate": 0.00012660419928799265, + "loss": 4.7425, + "mean_token_accuracy": 0.24454527497291564, + "num_tokens": 15729754.0, + "step": 7010 + }, + { + "entropy": 5.45831265449524, + "epoch": 7.584099513250406, + "grad_norm": 1.1015625, + "learning_rate": 0.00012628206270783404, + "loss": 4.7098, + "mean_token_accuracy": 0.24095088988542557, + "num_tokens": 15741194.0, + "step": 7015 + }, + { + "entropy": 5.4275898933410645, + "epoch": 7.589507842076799, + "grad_norm": 1.125, + "learning_rate": 0.00012596046656900323, + "loss": 4.6905, + "mean_token_accuracy": 0.25003129839897154, + "num_tokens": 15752594.0, + "step": 7020 + }, + { + "entropy": 5.448650074005127, + "epoch": 7.594916170903191, + "grad_norm": 1.0625, + "learning_rate": 0.0001256394120401813, + "loss": 4.7101, + "mean_token_accuracy": 0.24013070166110992, + "num_tokens": 15764121.0, + "step": 7025 + }, + { + "entropy": 5.455530309677124, + "epoch": 7.600324499729584, + "grad_norm": 1.03125, + "learning_rate": 0.00012531890028808122, + "loss": 4.6706, + "mean_token_accuracy": 0.24022805839776992, + "num_tokens": 15775842.0, + "step": 7030 + }, + { + "entropy": 5.462522268295288, + "epoch": 7.605732828555976, + "grad_norm": 1.21875, + "learning_rate": 0.0001249989324774434, + "loss": 4.6204, + "mean_token_accuracy": 0.24893483370542527, + "num_tokens": 15787663.0, + "step": 7035 + }, + { + "entropy": 5.4826967239379885, + "epoch": 7.611141157382368, + "grad_norm": 1.09375, + "learning_rate": 0.00012467950977103158, + "loss": 4.6754, + "mean_token_accuracy": 0.23806458562612534, + "num_tokens": 15799675.0, + "step": 7040 + }, + { + "entropy": 5.448901271820068, + "epoch": 7.616549486208761, + "grad_norm": 1.03125, + "learning_rate": 0.00012436063332962852, + "loss": 4.7347, + "mean_token_accuracy": 0.23882138431072236, + "num_tokens": 15810772.0, + "step": 7045 + }, + { + "entropy": 5.473357391357422, + "epoch": 7.621957815035154, + "grad_norm": 1.0859375, + "learning_rate": 0.00012404230431203227, + "loss": 4.7761, + "mean_token_accuracy": 0.2378004312515259, + "num_tokens": 15823711.0, + "step": 7050 + }, + { + "entropy": 5.415027236938476, + "epoch": 7.627366143861547, + "grad_norm": 1.1328125, + "learning_rate": 0.00012372452387505087, + "loss": 4.6382, + "mean_token_accuracy": 0.24569786489009857, + "num_tokens": 15834603.0, + "step": 7055 + }, + { + "entropy": 5.376887321472168, + "epoch": 7.63277447268794, + "grad_norm": 1.0, + "learning_rate": 0.0001234072931734993, + "loss": 4.6471, + "mean_token_accuracy": 0.2411333292722702, + "num_tokens": 15846238.0, + "step": 7060 + }, + { + "entropy": 5.524644470214843, + "epoch": 7.638182801514332, + "grad_norm": 1.0078125, + "learning_rate": 0.00012309061336019465, + "loss": 4.8, + "mean_token_accuracy": 0.22993574738502504, + "num_tokens": 15858560.0, + "step": 7065 + }, + { + "entropy": 5.416137933731079, + "epoch": 7.643591130340725, + "grad_norm": 1.03125, + "learning_rate": 0.00012277448558595212, + "loss": 4.6533, + "mean_token_accuracy": 0.2425800859928131, + "num_tokens": 15870624.0, + "step": 7070 + }, + { + "entropy": 5.454917049407959, + "epoch": 7.6489994591671175, + "grad_norm": 1.09375, + "learning_rate": 0.00012245891099958074, + "loss": 4.6744, + "mean_token_accuracy": 0.24045936465263368, + "num_tokens": 15881199.0, + "step": 7075 + }, + { + "entropy": 5.495878791809082, + "epoch": 7.6544077879935095, + "grad_norm": 1.0546875, + "learning_rate": 0.0001221438907478793, + "loss": 4.7903, + "mean_token_accuracy": 0.23239711970090865, + "num_tokens": 15893270.0, + "step": 7080 + }, + { + "entropy": 5.421728515625, + "epoch": 7.659816116819902, + "grad_norm": 1.09375, + "learning_rate": 0.00012182942597563213, + "loss": 4.6349, + "mean_token_accuracy": 0.24187428802251815, + "num_tokens": 15904509.0, + "step": 7085 + }, + { + "entropy": 5.419718074798584, + "epoch": 7.665224445646295, + "grad_norm": 1.203125, + "learning_rate": 0.00012151551782560499, + "loss": 4.6072, + "mean_token_accuracy": 0.2526846662163734, + "num_tokens": 15914913.0, + "step": 7090 + }, + { + "entropy": 5.489346218109131, + "epoch": 7.670632774472688, + "grad_norm": 1.171875, + "learning_rate": 0.00012120216743854068, + "loss": 4.7075, + "mean_token_accuracy": 0.24569393545389176, + "num_tokens": 15925742.0, + "step": 7095 + }, + { + "entropy": 5.388180208206177, + "epoch": 7.676041103299081, + "grad_norm": 1.03125, + "learning_rate": 0.00012088937595315525, + "loss": 4.6899, + "mean_token_accuracy": 0.24826941937208175, + "num_tokens": 15936165.0, + "step": 7100 + }, + { + "entropy": 5.413707208633423, + "epoch": 7.681449432125473, + "grad_norm": 1.1484375, + "learning_rate": 0.0001205771445061339, + "loss": 4.7469, + "mean_token_accuracy": 0.23956471979618071, + "num_tokens": 15948570.0, + "step": 7105 + }, + { + "entropy": 5.4949205875396725, + "epoch": 7.686857760951866, + "grad_norm": 1.015625, + "learning_rate": 0.0001202654742321262, + "loss": 4.7265, + "mean_token_accuracy": 0.23922350108623505, + "num_tokens": 15959890.0, + "step": 7110 + }, + { + "entropy": 5.452880001068115, + "epoch": 7.692266089778259, + "grad_norm": 1.1796875, + "learning_rate": 0.00011995436626374272, + "loss": 4.673, + "mean_token_accuracy": 0.24784787148237228, + "num_tokens": 15970632.0, + "step": 7115 + }, + { + "entropy": 5.416787195205688, + "epoch": 7.6976744186046515, + "grad_norm": 1.25, + "learning_rate": 0.00011964382173155053, + "loss": 4.6689, + "mean_token_accuracy": 0.2400309830904007, + "num_tokens": 15981352.0, + "step": 7120 + }, + { + "entropy": 5.4355627536773685, + "epoch": 7.7030827474310435, + "grad_norm": 1.234375, + "learning_rate": 0.00011933384176406915, + "loss": 4.646, + "mean_token_accuracy": 0.2374104455113411, + "num_tokens": 15991619.0, + "step": 7125 + }, + { + "entropy": 5.429497241973877, + "epoch": 7.708491076257436, + "grad_norm": 1.125, + "learning_rate": 0.0001190244274877666, + "loss": 4.6864, + "mean_token_accuracy": 0.2413660168647766, + "num_tokens": 16001588.0, + "step": 7130 + }, + { + "entropy": 5.494664478302002, + "epoch": 7.713899405083829, + "grad_norm": 1.0390625, + "learning_rate": 0.00011871558002705501, + "loss": 4.7115, + "mean_token_accuracy": 0.24696183651685716, + "num_tokens": 16013230.0, + "step": 7135 + }, + { + "entropy": 5.471933650970459, + "epoch": 7.719307733910222, + "grad_norm": 1.0703125, + "learning_rate": 0.00011840730050428666, + "loss": 4.7204, + "mean_token_accuracy": 0.2421387568116188, + "num_tokens": 16024310.0, + "step": 7140 + }, + { + "entropy": 5.53667459487915, + "epoch": 7.724716062736614, + "grad_norm": 1.1796875, + "learning_rate": 0.0001180995900397503, + "loss": 4.77, + "mean_token_accuracy": 0.24355804920196533, + "num_tokens": 16035188.0, + "step": 7145 + }, + { + "entropy": 5.480495023727417, + "epoch": 7.730124391563007, + "grad_norm": 1.1953125, + "learning_rate": 0.00011779244975166623, + "loss": 4.7301, + "mean_token_accuracy": 0.24054988771677016, + "num_tokens": 16046354.0, + "step": 7150 + }, + { + "entropy": 5.426711893081665, + "epoch": 7.7355327203894, + "grad_norm": 1.03125, + "learning_rate": 0.00011748588075618305, + "loss": 4.7118, + "mean_token_accuracy": 0.24877999126911163, + "num_tokens": 16056809.0, + "step": 7155 + }, + { + "entropy": 5.4671995639801025, + "epoch": 7.740941049215793, + "grad_norm": 1.21875, + "learning_rate": 0.00011717988416737322, + "loss": 4.7184, + "mean_token_accuracy": 0.24492209553718566, + "num_tokens": 16067440.0, + "step": 7160 + }, + { + "entropy": 5.4140464782714846, + "epoch": 7.746349378042185, + "grad_norm": 1.0625, + "learning_rate": 0.00011687446109722904, + "loss": 4.6476, + "mean_token_accuracy": 0.24424516260623932, + "num_tokens": 16078126.0, + "step": 7165 + }, + { + "entropy": 5.456424331665039, + "epoch": 7.7517577068685775, + "grad_norm": 1.0625, + "learning_rate": 0.00011656961265565864, + "loss": 4.7301, + "mean_token_accuracy": 0.24294260144233704, + "num_tokens": 16090823.0, + "step": 7170 + }, + { + "entropy": 5.463951253890992, + "epoch": 7.75716603569497, + "grad_norm": 1.015625, + "learning_rate": 0.00011626533995048204, + "loss": 4.67, + "mean_token_accuracy": 0.24340787380933762, + "num_tokens": 16102544.0, + "step": 7175 + }, + { + "entropy": 5.5464982986450195, + "epoch": 7.762574364521363, + "grad_norm": 1.1875, + "learning_rate": 0.00011596164408742675, + "loss": 4.8036, + "mean_token_accuracy": 0.2365711435675621, + "num_tokens": 16113573.0, + "step": 7180 + }, + { + "entropy": 5.379365015029907, + "epoch": 7.767982693347756, + "grad_norm": 1.1328125, + "learning_rate": 0.00011565852617012452, + "loss": 4.6496, + "mean_token_accuracy": 0.24278265684843064, + "num_tokens": 16124999.0, + "step": 7185 + }, + { + "entropy": 5.405616998672485, + "epoch": 7.773391022174148, + "grad_norm": 1.1171875, + "learning_rate": 0.00011535598730010633, + "loss": 4.6691, + "mean_token_accuracy": 0.2426201358437538, + "num_tokens": 16134941.0, + "step": 7190 + }, + { + "entropy": 5.482621383666992, + "epoch": 7.778799351000541, + "grad_norm": 1.0859375, + "learning_rate": 0.00011505402857679921, + "loss": 4.6785, + "mean_token_accuracy": 0.24790813624858857, + "num_tokens": 16146336.0, + "step": 7195 + }, + { + "entropy": 5.498623847961426, + "epoch": 7.784207679826934, + "grad_norm": 1.0546875, + "learning_rate": 0.00011475265109752187, + "loss": 4.7665, + "mean_token_accuracy": 0.2398320570588112, + "num_tokens": 16158539.0, + "step": 7200 + }, + { + "entropy": 5.464281845092773, + "epoch": 7.789616008653326, + "grad_norm": 1.125, + "learning_rate": 0.00011445185595748074, + "loss": 4.7972, + "mean_token_accuracy": 0.2307965487241745, + "num_tokens": 16170878.0, + "step": 7205 + }, + { + "entropy": 5.391339731216431, + "epoch": 7.795024337479719, + "grad_norm": 1.1484375, + "learning_rate": 0.0001141516442497661, + "loss": 4.6314, + "mean_token_accuracy": 0.23817023634910583, + "num_tokens": 16182076.0, + "step": 7210 + }, + { + "entropy": 5.396452331542969, + "epoch": 7.800432666306111, + "grad_norm": 1.078125, + "learning_rate": 0.00011385201706534803, + "loss": 4.6701, + "mean_token_accuracy": 0.24000394940376282, + "num_tokens": 16192850.0, + "step": 7215 + }, + { + "entropy": 5.375637197494507, + "epoch": 7.805840995132504, + "grad_norm": 1.09375, + "learning_rate": 0.0001135529754930722, + "loss": 4.6392, + "mean_token_accuracy": 0.24287021309137344, + "num_tokens": 16204118.0, + "step": 7220 + }, + { + "entropy": 5.557591438293457, + "epoch": 7.811249323958897, + "grad_norm": 1.1171875, + "learning_rate": 0.00011325452061965662, + "loss": 4.7428, + "mean_token_accuracy": 0.23815116435289382, + "num_tokens": 16215513.0, + "step": 7225 + }, + { + "entropy": 5.451365947723389, + "epoch": 7.816657652785289, + "grad_norm": 1.1796875, + "learning_rate": 0.00011295665352968692, + "loss": 4.7363, + "mean_token_accuracy": 0.23681218177080154, + "num_tokens": 16228169.0, + "step": 7230 + }, + { + "entropy": 5.480658626556396, + "epoch": 7.822065981611682, + "grad_norm": 1.234375, + "learning_rate": 0.00011265937530561271, + "loss": 4.6689, + "mean_token_accuracy": 0.2397017553448677, + "num_tokens": 16239200.0, + "step": 7235 + }, + { + "entropy": 5.530086040496826, + "epoch": 7.827474310438075, + "grad_norm": 1.1328125, + "learning_rate": 0.00011236268702774377, + "loss": 4.7757, + "mean_token_accuracy": 0.23204438984394074, + "num_tokens": 16250979.0, + "step": 7240 + }, + { + "entropy": 5.450435733795166, + "epoch": 7.832882639264467, + "grad_norm": 1.1796875, + "learning_rate": 0.00011206658977424605, + "loss": 4.693, + "mean_token_accuracy": 0.2333730399608612, + "num_tokens": 16262103.0, + "step": 7245 + }, + { + "entropy": 5.4131334781646725, + "epoch": 7.83829096809086, + "grad_norm": 1.1015625, + "learning_rate": 0.00011177108462113761, + "loss": 4.6902, + "mean_token_accuracy": 0.24078061431646347, + "num_tokens": 16272948.0, + "step": 7250 + }, + { + "entropy": 5.436950731277466, + "epoch": 7.8436992969172525, + "grad_norm": 1.1328125, + "learning_rate": 0.00011147617264228491, + "loss": 4.6133, + "mean_token_accuracy": 0.2494473084807396, + "num_tokens": 16283180.0, + "step": 7255 + }, + { + "entropy": 5.441599941253662, + "epoch": 7.849107625743645, + "grad_norm": 1.0703125, + "learning_rate": 0.00011118185490939861, + "loss": 4.6331, + "mean_token_accuracy": 0.251367150247097, + "num_tokens": 16294886.0, + "step": 7260 + }, + { + "entropy": 5.464648628234864, + "epoch": 7.854515954570038, + "grad_norm": 1.1171875, + "learning_rate": 0.00011088813249203019, + "loss": 4.6634, + "mean_token_accuracy": 0.25127213448286057, + "num_tokens": 16305979.0, + "step": 7265 + }, + { + "entropy": 5.401372051239013, + "epoch": 7.85992428339643, + "grad_norm": 0.9609375, + "learning_rate": 0.00011059500645756762, + "loss": 4.6638, + "mean_token_accuracy": 0.23800498843193055, + "num_tokens": 16318645.0, + "step": 7270 + }, + { + "entropy": 5.375847434997558, + "epoch": 7.865332612222823, + "grad_norm": 1.109375, + "learning_rate": 0.00011030247787123147, + "loss": 4.6428, + "mean_token_accuracy": 0.24710031747817993, + "num_tokens": 16329907.0, + "step": 7275 + }, + { + "entropy": 5.449215126037598, + "epoch": 7.870740941049216, + "grad_norm": 1.1015625, + "learning_rate": 0.00011001054779607121, + "loss": 4.7858, + "mean_token_accuracy": 0.2368557870388031, + "num_tokens": 16342531.0, + "step": 7280 + }, + { + "entropy": 5.461852312088013, + "epoch": 7.876149269875609, + "grad_norm": 1.171875, + "learning_rate": 0.00010971921729296172, + "loss": 4.6284, + "mean_token_accuracy": 0.2432481676340103, + "num_tokens": 16355394.0, + "step": 7285 + }, + { + "entropy": 5.381710481643677, + "epoch": 7.881557598702001, + "grad_norm": 1.15625, + "learning_rate": 0.00010942848742059845, + "loss": 4.5176, + "mean_token_accuracy": 0.26522424519062043, + "num_tokens": 16366049.0, + "step": 7290 + }, + { + "entropy": 5.439858341217041, + "epoch": 7.886965927528394, + "grad_norm": 1.0, + "learning_rate": 0.00010913835923549453, + "loss": 4.6763, + "mean_token_accuracy": 0.24100939333438873, + "num_tokens": 16378597.0, + "step": 7295 + }, + { + "entropy": 5.507377433776855, + "epoch": 7.8923742563547865, + "grad_norm": 1.046875, + "learning_rate": 0.00010884883379197643, + "loss": 4.8337, + "mean_token_accuracy": 0.2296651244163513, + "num_tokens": 16391417.0, + "step": 7300 + }, + { + "entropy": 5.442261743545532, + "epoch": 7.897782585181179, + "grad_norm": 1.1484375, + "learning_rate": 0.00010855991214218028, + "loss": 4.6895, + "mean_token_accuracy": 0.24659370332956315, + "num_tokens": 16402188.0, + "step": 7305 + }, + { + "entropy": 5.4488245964050295, + "epoch": 7.903190914007571, + "grad_norm": 1.1015625, + "learning_rate": 0.00010827159533604814, + "loss": 4.7273, + "mean_token_accuracy": 0.24307797700166703, + "num_tokens": 16415124.0, + "step": 7310 + }, + { + "entropy": 5.47108826637268, + "epoch": 7.908599242833964, + "grad_norm": 1.0234375, + "learning_rate": 0.00010798388442132375, + "loss": 4.726, + "mean_token_accuracy": 0.23914463967084884, + "num_tokens": 16426536.0, + "step": 7315 + }, + { + "entropy": 5.472820854187011, + "epoch": 7.914007571660357, + "grad_norm": 1.0703125, + "learning_rate": 0.00010769678044354927, + "loss": 4.6824, + "mean_token_accuracy": 0.24461480379104614, + "num_tokens": 16438417.0, + "step": 7320 + }, + { + "entropy": 5.444475698471069, + "epoch": 7.91941590048675, + "grad_norm": 1.15625, + "learning_rate": 0.00010741028444606141, + "loss": 4.6947, + "mean_token_accuracy": 0.23717159330844878, + "num_tokens": 16449271.0, + "step": 7325 + }, + { + "entropy": 5.5423647403717045, + "epoch": 7.924824229313142, + "grad_norm": 1.0390625, + "learning_rate": 0.00010712439746998711, + "loss": 4.7897, + "mean_token_accuracy": 0.23704513907432556, + "num_tokens": 16460387.0, + "step": 7330 + }, + { + "entropy": 5.444651031494141, + "epoch": 7.930232558139535, + "grad_norm": 1.1875, + "learning_rate": 0.00010683912055424036, + "loss": 4.6753, + "mean_token_accuracy": 0.24380592852830887, + "num_tokens": 16471262.0, + "step": 7335 + }, + { + "entropy": 5.476079893112183, + "epoch": 7.935640886965928, + "grad_norm": 1.1328125, + "learning_rate": 0.00010655445473551809, + "loss": 4.717, + "mean_token_accuracy": 0.2410126581788063, + "num_tokens": 16482605.0, + "step": 7340 + }, + { + "entropy": 5.527096271514893, + "epoch": 7.9410492157923205, + "grad_norm": 1.0078125, + "learning_rate": 0.00010627040104829658, + "loss": 4.8036, + "mean_token_accuracy": 0.2348283812403679, + "num_tokens": 16493951.0, + "step": 7345 + }, + { + "entropy": 5.456842517852783, + "epoch": 7.9464575446187125, + "grad_norm": 0.984375, + "learning_rate": 0.00010598696052482759, + "loss": 4.6976, + "mean_token_accuracy": 0.24492332637310027, + "num_tokens": 16506236.0, + "step": 7350 + }, + { + "entropy": 5.3653977394104, + "epoch": 7.951865873445105, + "grad_norm": 1.1953125, + "learning_rate": 0.0001057041341951347, + "loss": 4.5836, + "mean_token_accuracy": 0.25700664669275286, + "num_tokens": 16518339.0, + "step": 7355 + }, + { + "entropy": 5.5039787769317625, + "epoch": 7.957274202271498, + "grad_norm": 1.109375, + "learning_rate": 0.00010542192308700925, + "loss": 4.696, + "mean_token_accuracy": 0.23916687071323395, + "num_tokens": 16528733.0, + "step": 7360 + }, + { + "entropy": 5.485801410675049, + "epoch": 7.962682531097891, + "grad_norm": 1.0078125, + "learning_rate": 0.00010514032822600733, + "loss": 4.7267, + "mean_token_accuracy": 0.2381901979446411, + "num_tokens": 16540776.0, + "step": 7365 + }, + { + "entropy": 5.451934957504273, + "epoch": 7.968090859924283, + "grad_norm": 1.046875, + "learning_rate": 0.00010485935063544507, + "loss": 4.689, + "mean_token_accuracy": 0.24322576075792313, + "num_tokens": 16550818.0, + "step": 7370 + }, + { + "entropy": 5.453809833526611, + "epoch": 7.973499188750676, + "grad_norm": 1.203125, + "learning_rate": 0.00010457899133639579, + "loss": 4.6948, + "mean_token_accuracy": 0.2377357676625252, + "num_tokens": 16561791.0, + "step": 7375 + }, + { + "entropy": 5.454491090774536, + "epoch": 7.978907517577069, + "grad_norm": 1.015625, + "learning_rate": 0.00010429925134768584, + "loss": 4.7094, + "mean_token_accuracy": 0.24362270534038544, + "num_tokens": 16573360.0, + "step": 7380 + }, + { + "entropy": 5.455304384231567, + "epoch": 7.984315846403462, + "grad_norm": 1.109375, + "learning_rate": 0.00010402013168589092, + "loss": 4.6871, + "mean_token_accuracy": 0.24073503017425538, + "num_tokens": 16584061.0, + "step": 7385 + }, + { + "entropy": 5.498722267150879, + "epoch": 7.9897241752298545, + "grad_norm": 1.1953125, + "learning_rate": 0.00010374163336533261, + "loss": 4.7115, + "mean_token_accuracy": 0.24242723137140273, + "num_tokens": 16594178.0, + "step": 7390 + }, + { + "entropy": 5.465503931045532, + "epoch": 7.995132504056246, + "grad_norm": 1.0625, + "learning_rate": 0.00010346375739807448, + "loss": 4.7691, + "mean_token_accuracy": 0.23564232885837555, + "num_tokens": 16605577.0, + "step": 7395 + }, + { + "entropy": 5.464390542772081, + "epoch": 8.0, + "grad_norm": 1.7578125, + "learning_rate": 0.00010318650479391825, + "loss": 4.9279, + "mean_token_accuracy": 0.2289217991961373, + "num_tokens": 16615112.0, + "step": 7400 + }, + { + "entropy": 5.47802357673645, + "epoch": 8.005408328826393, + "grad_norm": 1.1015625, + "learning_rate": 0.00010290987656040076, + "loss": 4.6055, + "mean_token_accuracy": 0.250070184469223, + "num_tokens": 16625050.0, + "step": 7405 + }, + { + "entropy": 5.419842958450317, + "epoch": 8.010816657652786, + "grad_norm": 1.0234375, + "learning_rate": 0.00010263387370278948, + "loss": 4.6823, + "mean_token_accuracy": 0.24250650703907012, + "num_tokens": 16636536.0, + "step": 7410 + }, + { + "entropy": 5.510037469863891, + "epoch": 8.016224986479179, + "grad_norm": 1.046875, + "learning_rate": 0.0001023584972240795, + "loss": 4.6833, + "mean_token_accuracy": 0.2475518226623535, + "num_tokens": 16647439.0, + "step": 7415 + }, + { + "entropy": 5.482249116897583, + "epoch": 8.021633315305571, + "grad_norm": 0.9765625, + "learning_rate": 0.00010208374812498955, + "loss": 4.6558, + "mean_token_accuracy": 0.24430694729089736, + "num_tokens": 16659778.0, + "step": 7420 + }, + { + "entropy": 5.473934984207153, + "epoch": 8.027041644131963, + "grad_norm": 1.09375, + "learning_rate": 0.00010180962740395853, + "loss": 4.6552, + "mean_token_accuracy": 0.24364316910505296, + "num_tokens": 16671095.0, + "step": 7425 + }, + { + "entropy": 5.4153577327728275, + "epoch": 8.032449972958355, + "grad_norm": 1.1953125, + "learning_rate": 0.00010153613605714173, + "loss": 4.5976, + "mean_token_accuracy": 0.24691200405359268, + "num_tokens": 16682401.0, + "step": 7430 + }, + { + "entropy": 5.469314336776733, + "epoch": 8.037858301784748, + "grad_norm": 1.109375, + "learning_rate": 0.00010126327507840744, + "loss": 4.6506, + "mean_token_accuracy": 0.252379909157753, + "num_tokens": 16692606.0, + "step": 7435 + }, + { + "entropy": 5.410546731948853, + "epoch": 8.043266630611141, + "grad_norm": 1.1328125, + "learning_rate": 0.00010099104545933288, + "loss": 4.5712, + "mean_token_accuracy": 0.25820337384939196, + "num_tokens": 16704771.0, + "step": 7440 + }, + { + "entropy": 5.384668970108033, + "epoch": 8.048674959437534, + "grad_norm": 0.9375, + "learning_rate": 0.00010071944818920127, + "loss": 4.6552, + "mean_token_accuracy": 0.24849636107683182, + "num_tokens": 16717512.0, + "step": 7445 + }, + { + "entropy": 5.443715047836304, + "epoch": 8.054083288263927, + "grad_norm": 0.98046875, + "learning_rate": 0.0001004484842549978, + "loss": 4.6667, + "mean_token_accuracy": 0.24980415850877763, + "num_tokens": 16729457.0, + "step": 7450 + }, + { + "entropy": 5.450451183319092, + "epoch": 8.05949161709032, + "grad_norm": 1.0625, + "learning_rate": 0.00010017815464140583, + "loss": 4.6362, + "mean_token_accuracy": 0.25708851516246795, + "num_tokens": 16741195.0, + "step": 7455 + }, + { + "entropy": 5.417760133743286, + "epoch": 8.064899945916713, + "grad_norm": 1.1640625, + "learning_rate": 9.990846033080389e-05, + "loss": 4.6228, + "mean_token_accuracy": 0.2414257511496544, + "num_tokens": 16752261.0, + "step": 7460 + }, + { + "entropy": 5.442473030090332, + "epoch": 8.070308274743104, + "grad_norm": 1.1953125, + "learning_rate": 9.963940230326176e-05, + "loss": 4.6233, + "mean_token_accuracy": 0.26104655861854553, + "num_tokens": 16763492.0, + "step": 7465 + }, + { + "entropy": 5.4000101566314695, + "epoch": 8.075716603569496, + "grad_norm": 1.0703125, + "learning_rate": 9.937098153653687e-05, + "loss": 4.6045, + "mean_token_accuracy": 0.2507203996181488, + "num_tokens": 16775218.0, + "step": 7470 + }, + { + "entropy": 5.359610509872437, + "epoch": 8.08112493239589, + "grad_norm": 1.078125, + "learning_rate": 9.910319900607104e-05, + "loss": 4.5564, + "mean_token_accuracy": 0.24946845918893815, + "num_tokens": 16786589.0, + "step": 7475 + }, + { + "entropy": 5.432454395294189, + "epoch": 8.086533261222282, + "grad_norm": 1.046875, + "learning_rate": 9.883605568498635e-05, + "loss": 4.5938, + "mean_token_accuracy": 0.25214662700891494, + "num_tokens": 16798308.0, + "step": 7480 + }, + { + "entropy": 5.478470659255981, + "epoch": 8.091941590048675, + "grad_norm": 1.046875, + "learning_rate": 9.856955254408248e-05, + "loss": 4.7026, + "mean_token_accuracy": 0.24253612458705903, + "num_tokens": 16810039.0, + "step": 7485 + }, + { + "entropy": 5.3934972286224365, + "epoch": 8.097349918875068, + "grad_norm": 1.1796875, + "learning_rate": 9.830369055183244e-05, + "loss": 4.6452, + "mean_token_accuracy": 0.24484411627054214, + "num_tokens": 16820571.0, + "step": 7490 + }, + { + "entropy": 5.449046611785889, + "epoch": 8.10275824770146, + "grad_norm": 1.1640625, + "learning_rate": 9.80384706743792e-05, + "loss": 4.625, + "mean_token_accuracy": 0.24314706325531005, + "num_tokens": 16831165.0, + "step": 7495 + }, + { + "entropy": 5.5349438190460205, + "epoch": 8.108166576527854, + "grad_norm": 1.0625, + "learning_rate": 9.777389387553243e-05, + "loss": 4.7445, + "mean_token_accuracy": 0.23332213163375853, + "num_tokens": 16842599.0, + "step": 7500 + }, + { + "epoch": 8.108166576527854, + "eval_entropy": 5.340487690405412, + "eval_loss": 5.837372303009033, + "eval_mean_token_accuracy": 0.18408739008009434, + "eval_num_tokens": 16842599.0, + "eval_runtime": 3.5461, + "eval_samples_per_second": 991.217, + "eval_steps_per_second": 124.078, + "step": 7500 + }, + { + "entropy": 5.510523986816406, + "epoch": 8.113574905354245, + "grad_norm": 1.1171875, + "learning_rate": 9.750996111676497e-05, + "loss": 4.7427, + "mean_token_accuracy": 0.24279462695121765, + "num_tokens": 16854408.0, + "step": 7505 + }, + { + "entropy": 5.551241254806518, + "epoch": 8.118983234180638, + "grad_norm": 1.203125, + "learning_rate": 9.724667335720894e-05, + "loss": 4.7255, + "mean_token_accuracy": 0.24231787472963334, + "num_tokens": 16865662.0, + "step": 7510 + }, + { + "entropy": 5.5055968284606935, + "epoch": 8.12439156300703, + "grad_norm": 1.125, + "learning_rate": 9.698403155365268e-05, + "loss": 4.6819, + "mean_token_accuracy": 0.250739324092865, + "num_tokens": 16876621.0, + "step": 7515 + }, + { + "entropy": 5.438814687728882, + "epoch": 8.129799891833423, + "grad_norm": 1.0234375, + "learning_rate": 9.672203666053714e-05, + "loss": 4.6423, + "mean_token_accuracy": 0.24598823934793473, + "num_tokens": 16888989.0, + "step": 7520 + }, + { + "entropy": 5.513745975494385, + "epoch": 8.135208220659816, + "grad_norm": 1.1484375, + "learning_rate": 9.646068962995235e-05, + "loss": 4.7414, + "mean_token_accuracy": 0.23878957331180573, + "num_tokens": 16900153.0, + "step": 7525 + }, + { + "entropy": 5.413127660751343, + "epoch": 8.140616549486209, + "grad_norm": 0.9609375, + "learning_rate": 9.619999141163415e-05, + "loss": 4.7135, + "mean_token_accuracy": 0.2399488776922226, + "num_tokens": 16913304.0, + "step": 7530 + }, + { + "entropy": 5.470810413360596, + "epoch": 8.146024878312602, + "grad_norm": 1.046875, + "learning_rate": 9.593994295296024e-05, + "loss": 4.6999, + "mean_token_accuracy": 0.2426486998796463, + "num_tokens": 16925050.0, + "step": 7535 + }, + { + "entropy": 5.3831323146820065, + "epoch": 8.151433207138995, + "grad_norm": 1.1953125, + "learning_rate": 9.56805451989474e-05, + "loss": 4.6595, + "mean_token_accuracy": 0.2414674863219261, + "num_tokens": 16935940.0, + "step": 7540 + }, + { + "entropy": 5.490802860260009, + "epoch": 8.156841535965386, + "grad_norm": 1.1171875, + "learning_rate": 9.54217990922478e-05, + "loss": 4.6986, + "mean_token_accuracy": 0.2410563424229622, + "num_tokens": 16947285.0, + "step": 7545 + }, + { + "entropy": 5.424769496917724, + "epoch": 8.162249864791779, + "grad_norm": 1.0703125, + "learning_rate": 9.516370557314525e-05, + "loss": 4.5926, + "mean_token_accuracy": 0.2493278279900551, + "num_tokens": 16958781.0, + "step": 7550 + }, + { + "entropy": 5.430429935455322, + "epoch": 8.167658193618172, + "grad_norm": 1.046875, + "learning_rate": 9.490626557955221e-05, + "loss": 4.6489, + "mean_token_accuracy": 0.25174000561237336, + "num_tokens": 16970277.0, + "step": 7555 + }, + { + "entropy": 5.525951814651489, + "epoch": 8.173066522444564, + "grad_norm": 1.0703125, + "learning_rate": 9.464948004700626e-05, + "loss": 4.6902, + "mean_token_accuracy": 0.2522933125495911, + "num_tokens": 16983250.0, + "step": 7560 + }, + { + "entropy": 5.472453880310058, + "epoch": 8.178474851270957, + "grad_norm": 1.1328125, + "learning_rate": 9.439334990866658e-05, + "loss": 4.6654, + "mean_token_accuracy": 0.25425503104925157, + "num_tokens": 16994531.0, + "step": 7565 + }, + { + "entropy": 5.477163600921631, + "epoch": 8.18388318009735, + "grad_norm": 1.21875, + "learning_rate": 9.413787609531072e-05, + "loss": 4.6674, + "mean_token_accuracy": 0.25146382600069045, + "num_tokens": 17006107.0, + "step": 7570 + }, + { + "entropy": 5.489937686920166, + "epoch": 8.189291508923743, + "grad_norm": 1.1640625, + "learning_rate": 9.38830595353311e-05, + "loss": 4.723, + "mean_token_accuracy": 0.23688765317201615, + "num_tokens": 17017243.0, + "step": 7575 + }, + { + "entropy": 5.47594690322876, + "epoch": 8.194699837750136, + "grad_norm": 1.109375, + "learning_rate": 9.362890115473161e-05, + "loss": 4.6277, + "mean_token_accuracy": 0.24465895891189576, + "num_tokens": 17026915.0, + "step": 7580 + }, + { + "entropy": 5.454527521133423, + "epoch": 8.200108166576527, + "grad_norm": 1.1875, + "learning_rate": 9.337540187712453e-05, + "loss": 4.6434, + "mean_token_accuracy": 0.24471478015184403, + "num_tokens": 17036135.0, + "step": 7585 + }, + { + "entropy": 5.448494863510132, + "epoch": 8.20551649540292, + "grad_norm": 1.0703125, + "learning_rate": 9.312256262372674e-05, + "loss": 4.6166, + "mean_token_accuracy": 0.24890027344226837, + "num_tokens": 17046660.0, + "step": 7590 + }, + { + "entropy": 5.412955474853516, + "epoch": 8.210924824229313, + "grad_norm": 1.015625, + "learning_rate": 9.28703843133566e-05, + "loss": 4.6016, + "mean_token_accuracy": 0.25200228542089465, + "num_tokens": 17057923.0, + "step": 7595 + }, + { + "entropy": 5.4411906719207765, + "epoch": 8.216333153055706, + "grad_norm": 1.109375, + "learning_rate": 9.261886786243087e-05, + "loss": 4.6702, + "mean_token_accuracy": 0.24631363600492479, + "num_tokens": 17070053.0, + "step": 7600 + }, + { + "entropy": 5.477663946151734, + "epoch": 8.221741481882098, + "grad_norm": 0.98828125, + "learning_rate": 9.236801418496071e-05, + "loss": 4.6878, + "mean_token_accuracy": 0.24161387532949447, + "num_tokens": 17082311.0, + "step": 7605 + }, + { + "entropy": 5.457633399963379, + "epoch": 8.227149810708491, + "grad_norm": 1.0859375, + "learning_rate": 9.21178241925491e-05, + "loss": 4.7561, + "mean_token_accuracy": 0.23157817274332046, + "num_tokens": 17093073.0, + "step": 7610 + }, + { + "entropy": 5.4540486335754395, + "epoch": 8.232558139534884, + "grad_norm": 1.21875, + "learning_rate": 9.186829879438696e-05, + "loss": 4.6082, + "mean_token_accuracy": 0.24863191395998002, + "num_tokens": 17102753.0, + "step": 7615 + }, + { + "entropy": 5.433753538131714, + "epoch": 8.237966468361277, + "grad_norm": 1.1328125, + "learning_rate": 9.161943889725021e-05, + "loss": 4.6471, + "mean_token_accuracy": 0.24726097136735917, + "num_tokens": 17113519.0, + "step": 7620 + }, + { + "entropy": 5.47761344909668, + "epoch": 8.24337479718767, + "grad_norm": 1.015625, + "learning_rate": 9.137124540549638e-05, + "loss": 4.6522, + "mean_token_accuracy": 0.2481951430439949, + "num_tokens": 17125634.0, + "step": 7625 + }, + { + "entropy": 5.453316879272461, + "epoch": 8.248783126014061, + "grad_norm": 1.0390625, + "learning_rate": 9.1123719221061e-05, + "loss": 4.6028, + "mean_token_accuracy": 0.24958553910255432, + "num_tokens": 17136982.0, + "step": 7630 + }, + { + "entropy": 5.421119499206543, + "epoch": 8.254191454840454, + "grad_norm": 1.0703125, + "learning_rate": 9.087686124345486e-05, + "loss": 4.6542, + "mean_token_accuracy": 0.2427103653550148, + "num_tokens": 17148299.0, + "step": 7635 + }, + { + "entropy": 5.43115816116333, + "epoch": 8.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 9.063067236976055e-05, + "loss": 4.663, + "mean_token_accuracy": 0.24270786195993424, + "num_tokens": 17161224.0, + "step": 7640 + }, + { + "entropy": 5.372230863571167, + "epoch": 8.26500811249324, + "grad_norm": 1.125, + "learning_rate": 9.038515349462887e-05, + "loss": 4.5896, + "mean_token_accuracy": 0.2515710100531578, + "num_tokens": 17172406.0, + "step": 7645 + }, + { + "entropy": 5.51184229850769, + "epoch": 8.270416441319632, + "grad_norm": 1.1171875, + "learning_rate": 9.014030551027601e-05, + "loss": 4.677, + "mean_token_accuracy": 0.24752892255783082, + "num_tokens": 17182626.0, + "step": 7650 + }, + { + "entropy": 5.4033996105194095, + "epoch": 8.275824770146025, + "grad_norm": 1.0859375, + "learning_rate": 8.989612930648014e-05, + "loss": 4.6386, + "mean_token_accuracy": 0.24435791075229646, + "num_tokens": 17195651.0, + "step": 7655 + }, + { + "entropy": 5.3988096714019775, + "epoch": 8.281233098972418, + "grad_norm": 1.1640625, + "learning_rate": 8.965262577057811e-05, + "loss": 4.6546, + "mean_token_accuracy": 0.24611509889364241, + "num_tokens": 17207321.0, + "step": 7660 + }, + { + "entropy": 5.416755819320679, + "epoch": 8.286641427798811, + "grad_norm": 1.1484375, + "learning_rate": 8.940979578746236e-05, + "loss": 4.638, + "mean_token_accuracy": 0.24601612091064454, + "num_tokens": 17218212.0, + "step": 7665 + }, + { + "entropy": 5.477891826629639, + "epoch": 8.292049756625202, + "grad_norm": 1.03125, + "learning_rate": 8.916764023957766e-05, + "loss": 4.679, + "mean_token_accuracy": 0.247437746822834, + "num_tokens": 17230095.0, + "step": 7670 + }, + { + "entropy": 5.513516521453857, + "epoch": 8.297458085451595, + "grad_norm": 1.0234375, + "learning_rate": 8.892616000691766e-05, + "loss": 4.7701, + "mean_token_accuracy": 0.230373752117157, + "num_tokens": 17241380.0, + "step": 7675 + }, + { + "entropy": 5.423999786376953, + "epoch": 8.302866414277988, + "grad_norm": 1.1328125, + "learning_rate": 8.868535596702232e-05, + "loss": 4.6416, + "mean_token_accuracy": 0.2471378907561302, + "num_tokens": 17252136.0, + "step": 7680 + }, + { + "entropy": 5.430491876602173, + "epoch": 8.30827474310438, + "grad_norm": 1.15625, + "learning_rate": 8.844522899497387e-05, + "loss": 4.656, + "mean_token_accuracy": 0.24410931318998336, + "num_tokens": 17263150.0, + "step": 7685 + }, + { + "entropy": 5.36441330909729, + "epoch": 8.313683071930773, + "grad_norm": 0.9921875, + "learning_rate": 8.82057799633944e-05, + "loss": 4.6102, + "mean_token_accuracy": 0.24801189452409744, + "num_tokens": 17274993.0, + "step": 7690 + }, + { + "entropy": 5.445087242126465, + "epoch": 8.319091400757166, + "grad_norm": 1.0, + "learning_rate": 8.796700974244218e-05, + "loss": 4.6538, + "mean_token_accuracy": 0.2468579575419426, + "num_tokens": 17286559.0, + "step": 7695 + }, + { + "entropy": 5.4774007320404055, + "epoch": 8.32449972958356, + "grad_norm": 1.03125, + "learning_rate": 8.772891919980881e-05, + "loss": 4.6347, + "mean_token_accuracy": 0.25522580146789553, + "num_tokens": 17298034.0, + "step": 7700 + }, + { + "entropy": 5.443531227111817, + "epoch": 8.329908058409952, + "grad_norm": 1.109375, + "learning_rate": 8.74915092007158e-05, + "loss": 4.5536, + "mean_token_accuracy": 0.2588231563568115, + "num_tokens": 17309311.0, + "step": 7705 + }, + { + "entropy": 5.436644506454468, + "epoch": 8.335316387236343, + "grad_norm": 1.0859375, + "learning_rate": 8.725478060791175e-05, + "loss": 4.63, + "mean_token_accuracy": 0.2503485336899757, + "num_tokens": 17320414.0, + "step": 7710 + }, + { + "entropy": 5.484864139556885, + "epoch": 8.340724716062736, + "grad_norm": 1.03125, + "learning_rate": 8.701873428166874e-05, + "loss": 4.7094, + "mean_token_accuracy": 0.23894457817077636, + "num_tokens": 17330743.0, + "step": 7715 + }, + { + "entropy": 5.41112003326416, + "epoch": 8.346133044889129, + "grad_norm": 1.109375, + "learning_rate": 8.678337107977976e-05, + "loss": 4.6906, + "mean_token_accuracy": 0.24522272795438765, + "num_tokens": 17341636.0, + "step": 7720 + }, + { + "entropy": 5.43557071685791, + "epoch": 8.351541373715522, + "grad_norm": 1.171875, + "learning_rate": 8.654869185755532e-05, + "loss": 4.6792, + "mean_token_accuracy": 0.24282750189304353, + "num_tokens": 17352979.0, + "step": 7725 + }, + { + "entropy": 5.420865249633789, + "epoch": 8.356949702541915, + "grad_norm": 1.0390625, + "learning_rate": 8.631469746782011e-05, + "loss": 4.6896, + "mean_token_accuracy": 0.24247679114341736, + "num_tokens": 17364723.0, + "step": 7730 + }, + { + "entropy": 5.46372127532959, + "epoch": 8.362358031368307, + "grad_norm": 1.171875, + "learning_rate": 8.608138876091036e-05, + "loss": 4.7249, + "mean_token_accuracy": 0.24166302531957626, + "num_tokens": 17375078.0, + "step": 7735 + }, + { + "entropy": 5.469405889511108, + "epoch": 8.3677663601947, + "grad_norm": 1.2109375, + "learning_rate": 8.584876658467041e-05, + "loss": 4.7255, + "mean_token_accuracy": 0.23645605146884918, + "num_tokens": 17386414.0, + "step": 7740 + }, + { + "entropy": 5.4496986865997314, + "epoch": 8.373174689021093, + "grad_norm": 1.0703125, + "learning_rate": 8.561683178444979e-05, + "loss": 4.6594, + "mean_token_accuracy": 0.2442307636141777, + "num_tokens": 17397756.0, + "step": 7745 + }, + { + "entropy": 5.452625465393067, + "epoch": 8.378583017847484, + "grad_norm": 1.0703125, + "learning_rate": 8.53855852031002e-05, + "loss": 4.6075, + "mean_token_accuracy": 0.253352677822113, + "num_tokens": 17408425.0, + "step": 7750 + }, + { + "entropy": 5.42819299697876, + "epoch": 8.383991346673877, + "grad_norm": 1.015625, + "learning_rate": 8.515502768097204e-05, + "loss": 4.6591, + "mean_token_accuracy": 0.24390488117933273, + "num_tokens": 17420746.0, + "step": 7755 + }, + { + "entropy": 5.491825294494629, + "epoch": 8.38939967550027, + "grad_norm": 1.0625, + "learning_rate": 8.492516005591204e-05, + "loss": 4.618, + "mean_token_accuracy": 0.2515882387757301, + "num_tokens": 17431634.0, + "step": 7760 + }, + { + "entropy": 5.458147192001343, + "epoch": 8.394808004326663, + "grad_norm": 1.1171875, + "learning_rate": 8.469598316325971e-05, + "loss": 4.627, + "mean_token_accuracy": 0.2455772191286087, + "num_tokens": 17442069.0, + "step": 7765 + }, + { + "entropy": 5.534485006332398, + "epoch": 8.400216333153056, + "grad_norm": 1.140625, + "learning_rate": 8.446749783584432e-05, + "loss": 4.7496, + "mean_token_accuracy": 0.23464579731225968, + "num_tokens": 17451921.0, + "step": 7770 + }, + { + "entropy": 5.427454423904419, + "epoch": 8.405624661979449, + "grad_norm": 1.03125, + "learning_rate": 8.423970490398206e-05, + "loss": 4.6487, + "mean_token_accuracy": 0.24904445707798004, + "num_tokens": 17463804.0, + "step": 7775 + }, + { + "entropy": 5.434597206115723, + "epoch": 8.411032990805841, + "grad_norm": 1.0859375, + "learning_rate": 8.401260519547305e-05, + "loss": 4.6277, + "mean_token_accuracy": 0.25252015292644503, + "num_tokens": 17474682.0, + "step": 7780 + }, + { + "entropy": 5.393816661834717, + "epoch": 8.416441319632234, + "grad_norm": 1.1171875, + "learning_rate": 8.378619953559807e-05, + "loss": 4.6437, + "mean_token_accuracy": 0.24663667976856232, + "num_tokens": 17486272.0, + "step": 7785 + }, + { + "entropy": 5.512399053573608, + "epoch": 8.421849648458625, + "grad_norm": 1.0234375, + "learning_rate": 8.356048874711589e-05, + "loss": 4.7778, + "mean_token_accuracy": 0.23102400749921798, + "num_tokens": 17498422.0, + "step": 7790 + }, + { + "entropy": 5.477883625030517, + "epoch": 8.427257977285018, + "grad_norm": 1.0859375, + "learning_rate": 8.333547365026e-05, + "loss": 4.6951, + "mean_token_accuracy": 0.23685057312250138, + "num_tokens": 17509923.0, + "step": 7795 + }, + { + "entropy": 5.437692546844483, + "epoch": 8.432666306111411, + "grad_norm": 1.046875, + "learning_rate": 8.311115506273579e-05, + "loss": 4.6192, + "mean_token_accuracy": 0.2497318670153618, + "num_tokens": 17520962.0, + "step": 7800 + }, + { + "entropy": 5.402871131896973, + "epoch": 8.438074634937804, + "grad_norm": 1.09375, + "learning_rate": 8.288753379971756e-05, + "loss": 4.6266, + "mean_token_accuracy": 0.24970309883356095, + "num_tokens": 17532336.0, + "step": 7805 + }, + { + "entropy": 5.457163095474243, + "epoch": 8.443482963764197, + "grad_norm": 1.2109375, + "learning_rate": 8.26646106738454e-05, + "loss": 4.6119, + "mean_token_accuracy": 0.25259271264076233, + "num_tokens": 17541684.0, + "step": 7810 + }, + { + "entropy": 5.452897691726685, + "epoch": 8.44889129259059, + "grad_norm": 1.21875, + "learning_rate": 8.244238649522249e-05, + "loss": 4.5603, + "mean_token_accuracy": 0.25624964386224747, + "num_tokens": 17551788.0, + "step": 7815 + }, + { + "entropy": 5.434674072265625, + "epoch": 8.454299621416983, + "grad_norm": 1.09375, + "learning_rate": 8.222086207141214e-05, + "loss": 4.7034, + "mean_token_accuracy": 0.24153718799352647, + "num_tokens": 17563292.0, + "step": 7820 + }, + { + "entropy": 5.4834681987762455, + "epoch": 8.459707950243375, + "grad_norm": 1.09375, + "learning_rate": 8.200003820743449e-05, + "loss": 4.6607, + "mean_token_accuracy": 0.25238813906908036, + "num_tokens": 17574305.0, + "step": 7825 + }, + { + "entropy": 5.453549385070801, + "epoch": 8.465116279069768, + "grad_norm": 1.2109375, + "learning_rate": 8.177991570576396e-05, + "loss": 4.6202, + "mean_token_accuracy": 0.24570186734199523, + "num_tokens": 17584448.0, + "step": 7830 + }, + { + "entropy": 5.4401407718658445, + "epoch": 8.47052460789616, + "grad_norm": 1.078125, + "learning_rate": 8.156049536632629e-05, + "loss": 4.6348, + "mean_token_accuracy": 0.25061688870191573, + "num_tokens": 17595877.0, + "step": 7835 + }, + { + "entropy": 5.437603902816773, + "epoch": 8.475932936722552, + "grad_norm": 1.125, + "learning_rate": 8.13417779864955e-05, + "loss": 4.655, + "mean_token_accuracy": 0.24989775121212005, + "num_tokens": 17608164.0, + "step": 7840 + }, + { + "entropy": 5.408649158477783, + "epoch": 8.481341265548945, + "grad_norm": 1.15625, + "learning_rate": 8.112376436109107e-05, + "loss": 4.6133, + "mean_token_accuracy": 0.24967734962701799, + "num_tokens": 17619098.0, + "step": 7845 + }, + { + "entropy": 5.387372636795044, + "epoch": 8.486749594375338, + "grad_norm": 1.1328125, + "learning_rate": 8.090645528237493e-05, + "loss": 4.6169, + "mean_token_accuracy": 0.24099100679159163, + "num_tokens": 17630032.0, + "step": 7850 + }, + { + "entropy": 5.445199394226075, + "epoch": 8.49215792320173, + "grad_norm": 1.0859375, + "learning_rate": 8.068985154004879e-05, + "loss": 4.6272, + "mean_token_accuracy": 0.2506523698568344, + "num_tokens": 17641127.0, + "step": 7855 + }, + { + "entropy": 5.47921142578125, + "epoch": 8.497566252028124, + "grad_norm": 1.125, + "learning_rate": 8.047395392125126e-05, + "loss": 4.6752, + "mean_token_accuracy": 0.2440624639391899, + "num_tokens": 17652944.0, + "step": 7860 + }, + { + "entropy": 5.394153451919555, + "epoch": 8.502974580854517, + "grad_norm": 1.140625, + "learning_rate": 8.02587632105547e-05, + "loss": 4.562, + "mean_token_accuracy": 0.24257596880197524, + "num_tokens": 17664345.0, + "step": 7865 + }, + { + "entropy": 5.485877227783203, + "epoch": 8.50838290968091, + "grad_norm": 1.03125, + "learning_rate": 8.004428018996264e-05, + "loss": 4.6301, + "mean_token_accuracy": 0.24969162791967392, + "num_tokens": 17674314.0, + "step": 7870 + }, + { + "entropy": 5.3833784580230715, + "epoch": 8.5137912385073, + "grad_norm": 1.2109375, + "learning_rate": 7.983050563890692e-05, + "loss": 4.6665, + "mean_token_accuracy": 0.2468141570687294, + "num_tokens": 17685338.0, + "step": 7875 + }, + { + "entropy": 5.4162355899810795, + "epoch": 8.519199567333693, + "grad_norm": 1.1328125, + "learning_rate": 7.961744033424473e-05, + "loss": 4.6645, + "mean_token_accuracy": 0.24835647493600846, + "num_tokens": 17695954.0, + "step": 7880 + }, + { + "entropy": 5.433167791366577, + "epoch": 8.524607896160086, + "grad_norm": 1.0703125, + "learning_rate": 7.940508505025586e-05, + "loss": 4.6433, + "mean_token_accuracy": 0.24660401791334152, + "num_tokens": 17706627.0, + "step": 7885 + }, + { + "entropy": 5.4570776462554935, + "epoch": 8.530016224986479, + "grad_norm": 1.1640625, + "learning_rate": 7.919344055863997e-05, + "loss": 4.6834, + "mean_token_accuracy": 0.250008362531662, + "num_tokens": 17716810.0, + "step": 7890 + }, + { + "entropy": 5.5049059867858885, + "epoch": 8.535424553812872, + "grad_norm": 1.046875, + "learning_rate": 7.89825076285135e-05, + "loss": 4.7199, + "mean_token_accuracy": 0.23966176211833953, + "num_tokens": 17727429.0, + "step": 7895 + }, + { + "entropy": 5.476928472518921, + "epoch": 8.540832882639265, + "grad_norm": 1.2265625, + "learning_rate": 7.877228702640739e-05, + "loss": 4.6414, + "mean_token_accuracy": 0.251692995429039, + "num_tokens": 17737198.0, + "step": 7900 + }, + { + "entropy": 5.452701568603516, + "epoch": 8.546241211465658, + "grad_norm": 1.1640625, + "learning_rate": 7.856277951626363e-05, + "loss": 4.6524, + "mean_token_accuracy": 0.24492272585630417, + "num_tokens": 17747288.0, + "step": 7905 + }, + { + "entropy": 5.419731569290161, + "epoch": 8.55164954029205, + "grad_norm": 1.0, + "learning_rate": 7.835398585943307e-05, + "loss": 4.732, + "mean_token_accuracy": 0.23216305673122406, + "num_tokens": 17759238.0, + "step": 7910 + }, + { + "entropy": 5.453393936157227, + "epoch": 8.557057869118442, + "grad_norm": 1.15625, + "learning_rate": 7.814590681467235e-05, + "loss": 4.6298, + "mean_token_accuracy": 0.25046600997447965, + "num_tokens": 17769306.0, + "step": 7915 + }, + { + "entropy": 5.433558702468872, + "epoch": 8.562466197944834, + "grad_norm": 1.046875, + "learning_rate": 7.793854313814114e-05, + "loss": 4.6433, + "mean_token_accuracy": 0.24308221340179442, + "num_tokens": 17780446.0, + "step": 7920 + }, + { + "entropy": 5.447643804550171, + "epoch": 8.567874526771227, + "grad_norm": 1.109375, + "learning_rate": 7.773189558339956e-05, + "loss": 4.6103, + "mean_token_accuracy": 0.2464235916733742, + "num_tokens": 17791217.0, + "step": 7925 + }, + { + "entropy": 5.39156494140625, + "epoch": 8.57328285559762, + "grad_norm": 1.0625, + "learning_rate": 7.752596490140537e-05, + "loss": 4.5492, + "mean_token_accuracy": 0.25537085682153704, + "num_tokens": 17802755.0, + "step": 7930 + }, + { + "entropy": 5.400811100006104, + "epoch": 8.578691184424013, + "grad_norm": 1.1484375, + "learning_rate": 7.732075184051098e-05, + "loss": 4.6145, + "mean_token_accuracy": 0.25341652184724806, + "num_tokens": 17814466.0, + "step": 7935 + }, + { + "entropy": 5.538357973098755, + "epoch": 8.584099513250406, + "grad_norm": 1.125, + "learning_rate": 7.711625714646127e-05, + "loss": 4.7818, + "mean_token_accuracy": 0.23865888118743897, + "num_tokens": 17826561.0, + "step": 7940 + }, + { + "entropy": 5.494115400314331, + "epoch": 8.589507842076799, + "grad_norm": 1.1796875, + "learning_rate": 7.691248156239041e-05, + "loss": 4.6958, + "mean_token_accuracy": 0.242883163690567, + "num_tokens": 17837219.0, + "step": 7945 + }, + { + "entropy": 5.448954963684082, + "epoch": 8.594916170903192, + "grad_norm": 1.1171875, + "learning_rate": 7.670942582881931e-05, + "loss": 4.633, + "mean_token_accuracy": 0.24463047534227372, + "num_tokens": 17848173.0, + "step": 7950 + }, + { + "entropy": 5.405515670776367, + "epoch": 8.600324499729584, + "grad_norm": 1.0234375, + "learning_rate": 7.650709068365295e-05, + "loss": 4.587, + "mean_token_accuracy": 0.25289051979780197, + "num_tokens": 17858073.0, + "step": 7955 + }, + { + "entropy": 5.493569231033325, + "epoch": 8.605732828555976, + "grad_norm": 0.94921875, + "learning_rate": 7.630547686217774e-05, + "loss": 4.7385, + "mean_token_accuracy": 0.2438815712928772, + "num_tokens": 17871842.0, + "step": 7960 + }, + { + "entropy": 5.384715127944946, + "epoch": 8.611141157382368, + "grad_norm": 1.1328125, + "learning_rate": 7.61045850970588e-05, + "loss": 4.6016, + "mean_token_accuracy": 0.25172372758388517, + "num_tokens": 17883217.0, + "step": 7965 + }, + { + "entropy": 5.440554094314575, + "epoch": 8.616549486208761, + "grad_norm": 1.0234375, + "learning_rate": 7.59044161183373e-05, + "loss": 4.6496, + "mean_token_accuracy": 0.24046091884374618, + "num_tokens": 17895606.0, + "step": 7970 + }, + { + "entropy": 5.4395688533782955, + "epoch": 8.621957815035154, + "grad_norm": 1.078125, + "learning_rate": 7.570497065342762e-05, + "loss": 4.6126, + "mean_token_accuracy": 0.24324086010456086, + "num_tokens": 17906444.0, + "step": 7975 + }, + { + "entropy": 5.481838798522949, + "epoch": 8.627366143861547, + "grad_norm": 1.1015625, + "learning_rate": 7.550624942711517e-05, + "loss": 4.6844, + "mean_token_accuracy": 0.2452366203069687, + "num_tokens": 17917019.0, + "step": 7980 + }, + { + "entropy": 5.398834466934204, + "epoch": 8.63277447268794, + "grad_norm": 1.109375, + "learning_rate": 7.530825316155337e-05, + "loss": 4.5774, + "mean_token_accuracy": 0.25428382158279417, + "num_tokens": 17927930.0, + "step": 7985 + }, + { + "entropy": 5.45563907623291, + "epoch": 8.638182801514333, + "grad_norm": 1.2265625, + "learning_rate": 7.511098257626101e-05, + "loss": 4.6169, + "mean_token_accuracy": 0.24270703941583632, + "num_tokens": 17938820.0, + "step": 7990 + }, + { + "entropy": 5.479223585128784, + "epoch": 8.643591130340724, + "grad_norm": 1.1875, + "learning_rate": 7.491443838811991e-05, + "loss": 4.6911, + "mean_token_accuracy": 0.24639520347118377, + "num_tokens": 17949334.0, + "step": 7995 + }, + { + "entropy": 5.448716497421264, + "epoch": 8.648999459167117, + "grad_norm": 1.1015625, + "learning_rate": 7.47186213113721e-05, + "loss": 4.641, + "mean_token_accuracy": 0.25038540065288545, + "num_tokens": 17961454.0, + "step": 8000 + }, + { + "epoch": 8.648999459167117, + "eval_entropy": 5.362871633876454, + "eval_loss": 5.8378705978393555, + "eval_mean_token_accuracy": 0.1841868094761263, + "eval_num_tokens": 17961454.0, + "eval_runtime": 5.2454, + "eval_samples_per_second": 670.115, + "eval_steps_per_second": 83.884, + "step": 8000 + }, + { + "entropy": 5.4176562309265135, + "epoch": 8.65440778799351, + "grad_norm": 1.1875, + "learning_rate": 7.452353205761725e-05, + "loss": 4.6463, + "mean_token_accuracy": 0.24769691824913026, + "num_tokens": 17972430.0, + "step": 8005 + }, + { + "entropy": 5.4539412498474125, + "epoch": 8.659816116819902, + "grad_norm": 1.1015625, + "learning_rate": 7.432917133581019e-05, + "loss": 4.6646, + "mean_token_accuracy": 0.24635607451200486, + "num_tokens": 17983849.0, + "step": 8010 + }, + { + "entropy": 5.534650993347168, + "epoch": 8.665224445646295, + "grad_norm": 1.1796875, + "learning_rate": 7.413553985225824e-05, + "loss": 4.7258, + "mean_token_accuracy": 0.24364759922027587, + "num_tokens": 17994791.0, + "step": 8015 + }, + { + "entropy": 5.4380405902862545, + "epoch": 8.670632774472688, + "grad_norm": 1.1328125, + "learning_rate": 7.394263831061865e-05, + "loss": 4.5737, + "mean_token_accuracy": 0.261161758005619, + "num_tokens": 18005068.0, + "step": 8020 + }, + { + "entropy": 5.500995683670044, + "epoch": 8.676041103299081, + "grad_norm": 1.15625, + "learning_rate": 7.375046741189611e-05, + "loss": 4.7326, + "mean_token_accuracy": 0.2271594524383545, + "num_tokens": 18016610.0, + "step": 8025 + }, + { + "entropy": 5.442659044265747, + "epoch": 8.681449432125474, + "grad_norm": 1.1015625, + "learning_rate": 7.355902785444002e-05, + "loss": 4.6495, + "mean_token_accuracy": 0.24712285101413728, + "num_tokens": 18028854.0, + "step": 8030 + }, + { + "entropy": 5.454330205917358, + "epoch": 8.686857760951867, + "grad_norm": 1.0546875, + "learning_rate": 7.336832033394217e-05, + "loss": 4.6979, + "mean_token_accuracy": 0.24184783399105073, + "num_tokens": 18039766.0, + "step": 8035 + }, + { + "entropy": 5.488766717910766, + "epoch": 8.692266089778258, + "grad_norm": 1.15625, + "learning_rate": 7.317834554343429e-05, + "loss": 4.6348, + "mean_token_accuracy": 0.24834075421094895, + "num_tokens": 18049358.0, + "step": 8040 + }, + { + "entropy": 5.4261702537536625, + "epoch": 8.69767441860465, + "grad_norm": 1.0859375, + "learning_rate": 7.298910417328503e-05, + "loss": 4.6159, + "mean_token_accuracy": 0.2481824889779091, + "num_tokens": 18060274.0, + "step": 8045 + }, + { + "entropy": 5.394179582595825, + "epoch": 8.703082747431043, + "grad_norm": 1.125, + "learning_rate": 7.280059691119806e-05, + "loss": 4.5933, + "mean_token_accuracy": 0.24686106890439988, + "num_tokens": 18070688.0, + "step": 8050 + }, + { + "entropy": 5.46193299293518, + "epoch": 8.708491076257436, + "grad_norm": 1.171875, + "learning_rate": 7.261282444220917e-05, + "loss": 4.6791, + "mean_token_accuracy": 0.24510317593812941, + "num_tokens": 18081739.0, + "step": 8055 + }, + { + "entropy": 5.488187074661255, + "epoch": 8.71389940508383, + "grad_norm": 1.0546875, + "learning_rate": 7.242578744868395e-05, + "loss": 4.7453, + "mean_token_accuracy": 0.23407671898603438, + "num_tokens": 18092978.0, + "step": 8060 + }, + { + "entropy": 5.4217125415802006, + "epoch": 8.719307733910222, + "grad_norm": 1.0, + "learning_rate": 7.223948661031534e-05, + "loss": 4.6872, + "mean_token_accuracy": 0.2450122743844986, + "num_tokens": 18104649.0, + "step": 8065 + }, + { + "entropy": 5.453090620040894, + "epoch": 8.724716062736615, + "grad_norm": 1.0703125, + "learning_rate": 7.205392260412088e-05, + "loss": 4.6549, + "mean_token_accuracy": 0.24633828997612, + "num_tokens": 18115640.0, + "step": 8070 + }, + { + "entropy": 5.379146337509155, + "epoch": 8.730124391563008, + "grad_norm": 1.0703125, + "learning_rate": 7.186909610444065e-05, + "loss": 4.6424, + "mean_token_accuracy": 0.24719825387001038, + "num_tokens": 18126599.0, + "step": 8075 + }, + { + "entropy": 5.4903511047363285, + "epoch": 8.735532720389399, + "grad_norm": 1.078125, + "learning_rate": 7.168500778293466e-05, + "loss": 4.7223, + "mean_token_accuracy": 0.24441612362861634, + "num_tokens": 18137961.0, + "step": 8080 + }, + { + "entropy": 5.5881280422210695, + "epoch": 8.740941049215792, + "grad_norm": 1.0390625, + "learning_rate": 7.15016583085802e-05, + "loss": 4.7907, + "mean_token_accuracy": 0.23955046236515046, + "num_tokens": 18150167.0, + "step": 8085 + }, + { + "entropy": 5.559327507019043, + "epoch": 8.746349378042185, + "grad_norm": 1.1484375, + "learning_rate": 7.131904834766973e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.24419869780540465, + "num_tokens": 18162320.0, + "step": 8090 + }, + { + "entropy": 5.431235456466675, + "epoch": 8.751757706868577, + "grad_norm": 1.046875, + "learning_rate": 7.113717856380824e-05, + "loss": 4.633, + "mean_token_accuracy": 0.24960453659296036, + "num_tokens": 18174213.0, + "step": 8095 + }, + { + "entropy": 5.465347719192505, + "epoch": 8.75716603569497, + "grad_norm": 1.1796875, + "learning_rate": 7.095604961791095e-05, + "loss": 4.6465, + "mean_token_accuracy": 0.24582342952489852, + "num_tokens": 18184071.0, + "step": 8100 + }, + { + "entropy": 5.578960657119751, + "epoch": 8.762574364521363, + "grad_norm": 1.0, + "learning_rate": 7.077566216820089e-05, + "loss": 4.8045, + "mean_token_accuracy": 0.23988767862319946, + "num_tokens": 18197479.0, + "step": 8105 + }, + { + "entropy": 5.484675788879395, + "epoch": 8.767982693347756, + "grad_norm": 0.92578125, + "learning_rate": 7.059601687020647e-05, + "loss": 4.7403, + "mean_token_accuracy": 0.23554161190986633, + "num_tokens": 18209824.0, + "step": 8110 + }, + { + "entropy": 5.458296060562134, + "epoch": 8.773391022174149, + "grad_norm": 1.046875, + "learning_rate": 7.041711437675908e-05, + "loss": 4.663, + "mean_token_accuracy": 0.25326707512140273, + "num_tokens": 18221788.0, + "step": 8115 + }, + { + "entropy": 5.434906148910523, + "epoch": 8.77879935100054, + "grad_norm": 1.0703125, + "learning_rate": 7.023895533799087e-05, + "loss": 4.6358, + "mean_token_accuracy": 0.2397712364792824, + "num_tokens": 18233755.0, + "step": 8120 + }, + { + "entropy": 5.5003461837768555, + "epoch": 8.784207679826933, + "grad_norm": 1.1484375, + "learning_rate": 7.006154040133211e-05, + "loss": 4.7408, + "mean_token_accuracy": 0.2383201912045479, + "num_tokens": 18244591.0, + "step": 8125 + }, + { + "entropy": 5.487597846984864, + "epoch": 8.789616008653326, + "grad_norm": 1.1015625, + "learning_rate": 6.98848702115091e-05, + "loss": 4.6065, + "mean_token_accuracy": 0.24469293653964996, + "num_tokens": 18255928.0, + "step": 8130 + }, + { + "entropy": 5.466150331497192, + "epoch": 8.795024337479719, + "grad_norm": 1.125, + "learning_rate": 6.970894541054182e-05, + "loss": 4.6594, + "mean_token_accuracy": 0.2506978988647461, + "num_tokens": 18267288.0, + "step": 8135 + }, + { + "entropy": 5.474290609359741, + "epoch": 8.800432666306111, + "grad_norm": 1.0, + "learning_rate": 6.953376663774129e-05, + "loss": 4.7452, + "mean_token_accuracy": 0.24161359369754792, + "num_tokens": 18279045.0, + "step": 8140 + }, + { + "entropy": 5.455084800720215, + "epoch": 8.805840995132504, + "grad_norm": 1.09375, + "learning_rate": 6.935933452970762e-05, + "loss": 4.7037, + "mean_token_accuracy": 0.24813375771045684, + "num_tokens": 18291378.0, + "step": 8145 + }, + { + "entropy": 5.436138439178467, + "epoch": 8.811249323958897, + "grad_norm": 1.0703125, + "learning_rate": 6.918564972032745e-05, + "loss": 4.6137, + "mean_token_accuracy": 0.2471534177660942, + "num_tokens": 18303089.0, + "step": 8150 + }, + { + "entropy": 5.48180832862854, + "epoch": 8.81665765278529, + "grad_norm": 1.140625, + "learning_rate": 6.901271284077188e-05, + "loss": 4.67, + "mean_token_accuracy": 0.24351342618465424, + "num_tokens": 18313656.0, + "step": 8155 + }, + { + "entropy": 5.432670640945434, + "epoch": 8.822065981611683, + "grad_norm": 1.1796875, + "learning_rate": 6.884052451949382e-05, + "loss": 4.6431, + "mean_token_accuracy": 0.24915305525064468, + "num_tokens": 18324176.0, + "step": 8160 + }, + { + "entropy": 5.4484114170074465, + "epoch": 8.827474310438074, + "grad_norm": 1.140625, + "learning_rate": 6.866908538222611e-05, + "loss": 4.7349, + "mean_token_accuracy": 0.24104510098695756, + "num_tokens": 18336704.0, + "step": 8165 + }, + { + "entropy": 5.481381034851074, + "epoch": 8.832882639264467, + "grad_norm": 1.1484375, + "learning_rate": 6.84983960519789e-05, + "loss": 4.6698, + "mean_token_accuracy": 0.24722180962562562, + "num_tokens": 18346992.0, + "step": 8170 + }, + { + "entropy": 5.430476999282837, + "epoch": 8.83829096809086, + "grad_norm": 1.0078125, + "learning_rate": 6.83284571490377e-05, + "loss": 4.607, + "mean_token_accuracy": 0.25048110336065293, + "num_tokens": 18358244.0, + "step": 8175 + }, + { + "entropy": 5.436368036270141, + "epoch": 8.843699296917253, + "grad_norm": 1.0390625, + "learning_rate": 6.815926929096077e-05, + "loss": 4.6756, + "mean_token_accuracy": 0.24781714379787445, + "num_tokens": 18368951.0, + "step": 8180 + }, + { + "entropy": 5.454361772537231, + "epoch": 8.849107625743645, + "grad_norm": 1.171875, + "learning_rate": 6.799083309257726e-05, + "loss": 4.6718, + "mean_token_accuracy": 0.24081313908100127, + "num_tokens": 18379927.0, + "step": 8185 + }, + { + "entropy": 5.386984252929688, + "epoch": 8.854515954570038, + "grad_norm": 1.15625, + "learning_rate": 6.782314916598465e-05, + "loss": 4.5864, + "mean_token_accuracy": 0.2512750491499901, + "num_tokens": 18390396.0, + "step": 8190 + }, + { + "entropy": 5.433802747726441, + "epoch": 8.859924283396431, + "grad_norm": 1.1875, + "learning_rate": 6.765621812054675e-05, + "loss": 4.6534, + "mean_token_accuracy": 0.2511002615094185, + "num_tokens": 18401640.0, + "step": 8195 + }, + { + "entropy": 5.464025688171387, + "epoch": 8.865332612222822, + "grad_norm": 1.1171875, + "learning_rate": 6.749004056289132e-05, + "loss": 4.7053, + "mean_token_accuracy": 0.24140200912952423, + "num_tokens": 18413032.0, + "step": 8200 + }, + { + "entropy": 5.492389583587647, + "epoch": 8.870740941049215, + "grad_norm": 1.1640625, + "learning_rate": 6.732461709690811e-05, + "loss": 4.7231, + "mean_token_accuracy": 0.24018226712942123, + "num_tokens": 18424249.0, + "step": 8205 + }, + { + "entropy": 5.460456418991089, + "epoch": 8.876149269875608, + "grad_norm": 1.2265625, + "learning_rate": 6.715994832374619e-05, + "loss": 4.6917, + "mean_token_accuracy": 0.2387579098343849, + "num_tokens": 18435532.0, + "step": 8210 + }, + { + "entropy": 5.455314588546753, + "epoch": 8.881557598702, + "grad_norm": 1.0078125, + "learning_rate": 6.699603484181245e-05, + "loss": 4.6735, + "mean_token_accuracy": 0.2517687350511551, + "num_tokens": 18447433.0, + "step": 8215 + }, + { + "entropy": 5.5274101257324215, + "epoch": 8.886965927528394, + "grad_norm": 0.97265625, + "learning_rate": 6.683287724676874e-05, + "loss": 4.7168, + "mean_token_accuracy": 0.2312949389219284, + "num_tokens": 18459348.0, + "step": 8220 + }, + { + "entropy": 5.448721933364868, + "epoch": 8.892374256354787, + "grad_norm": 1.328125, + "learning_rate": 6.667047613153018e-05, + "loss": 4.6334, + "mean_token_accuracy": 0.2500571310520172, + "num_tokens": 18469626.0, + "step": 8225 + }, + { + "entropy": 5.39347653388977, + "epoch": 8.89778258518118, + "grad_norm": 1.078125, + "learning_rate": 6.650883208626275e-05, + "loss": 4.6194, + "mean_token_accuracy": 0.24883653670549394, + "num_tokens": 18480280.0, + "step": 8230 + }, + { + "entropy": 5.480832719802857, + "epoch": 8.903190914007572, + "grad_norm": 1.1796875, + "learning_rate": 6.634794569838136e-05, + "loss": 4.7166, + "mean_token_accuracy": 0.24320875704288483, + "num_tokens": 18491169.0, + "step": 8235 + }, + { + "entropy": 5.437039518356324, + "epoch": 8.908599242833965, + "grad_norm": 1.09375, + "learning_rate": 6.618781755254749e-05, + "loss": 4.6714, + "mean_token_accuracy": 0.24556371122598647, + "num_tokens": 18502987.0, + "step": 8240 + }, + { + "entropy": 5.410912132263183, + "epoch": 8.914007571660356, + "grad_norm": 1.0859375, + "learning_rate": 6.60284482306672e-05, + "loss": 4.6237, + "mean_token_accuracy": 0.2487622007727623, + "num_tokens": 18514111.0, + "step": 8245 + }, + { + "entropy": 5.476244735717773, + "epoch": 8.919415900486749, + "grad_norm": 1.1796875, + "learning_rate": 6.586983831188888e-05, + "loss": 4.6614, + "mean_token_accuracy": 0.2371463283896446, + "num_tokens": 18524802.0, + "step": 8250 + }, + { + "entropy": 5.386268568038941, + "epoch": 8.924824229313142, + "grad_norm": 1.15625, + "learning_rate": 6.571198837260148e-05, + "loss": 4.549, + "mean_token_accuracy": 0.25499766021966935, + "num_tokens": 18535033.0, + "step": 8255 + }, + { + "entropy": 5.4325535774230955, + "epoch": 8.930232558139535, + "grad_norm": 1.203125, + "learning_rate": 6.555489898643201e-05, + "loss": 4.6105, + "mean_token_accuracy": 0.24099647700786592, + "num_tokens": 18545992.0, + "step": 8260 + }, + { + "entropy": 5.510333728790283, + "epoch": 8.935640886965928, + "grad_norm": 1.1953125, + "learning_rate": 6.539857072424357e-05, + "loss": 4.6754, + "mean_token_accuracy": 0.2422497093677521, + "num_tokens": 18557034.0, + "step": 8265 + }, + { + "entropy": 5.466076946258545, + "epoch": 8.94104921579232, + "grad_norm": 1.1640625, + "learning_rate": 6.524300415413354e-05, + "loss": 4.7352, + "mean_token_accuracy": 0.23501991331577302, + "num_tokens": 18569772.0, + "step": 8270 + }, + { + "entropy": 5.423339176177978, + "epoch": 8.946457544618713, + "grad_norm": 1.0859375, + "learning_rate": 6.508819984143111e-05, + "loss": 4.5963, + "mean_token_accuracy": 0.24731227159500122, + "num_tokens": 18581366.0, + "step": 8275 + }, + { + "entropy": 5.394436693191528, + "epoch": 8.951865873445106, + "grad_norm": 1.1015625, + "learning_rate": 6.493415834869555e-05, + "loss": 4.6067, + "mean_token_accuracy": 0.24292584061622619, + "num_tokens": 18592538.0, + "step": 8280 + }, + { + "entropy": 5.463893890380859, + "epoch": 8.957274202271497, + "grad_norm": 1.15625, + "learning_rate": 6.478088023571403e-05, + "loss": 4.7642, + "mean_token_accuracy": 0.23628028929233552, + "num_tokens": 18604060.0, + "step": 8285 + }, + { + "entropy": 5.499932765960693, + "epoch": 8.96268253109789, + "grad_norm": 1.125, + "learning_rate": 6.462836605949945e-05, + "loss": 4.7014, + "mean_token_accuracy": 0.24229229241609573, + "num_tokens": 18614038.0, + "step": 8290 + }, + { + "entropy": 5.5177754878997805, + "epoch": 8.968090859924283, + "grad_norm": 1.203125, + "learning_rate": 6.447661637428882e-05, + "loss": 4.7011, + "mean_token_accuracy": 0.24340022057294847, + "num_tokens": 18624428.0, + "step": 8295 + }, + { + "entropy": 5.458679246902466, + "epoch": 8.973499188750676, + "grad_norm": 0.96484375, + "learning_rate": 6.432563173154082e-05, + "loss": 4.697, + "mean_token_accuracy": 0.24110541641712188, + "num_tokens": 18636738.0, + "step": 8300 + }, + { + "entropy": 5.461600303649902, + "epoch": 8.978907517577069, + "grad_norm": 1.0859375, + "learning_rate": 6.417541267993391e-05, + "loss": 4.6537, + "mean_token_accuracy": 0.23878912776708602, + "num_tokens": 18648318.0, + "step": 8305 + }, + { + "entropy": 5.47225866317749, + "epoch": 8.984315846403462, + "grad_norm": 1.1328125, + "learning_rate": 6.402595976536451e-05, + "loss": 4.66, + "mean_token_accuracy": 0.24574798047542573, + "num_tokens": 18659616.0, + "step": 8310 + }, + { + "entropy": 5.468072366714478, + "epoch": 8.989724175229854, + "grad_norm": 1.078125, + "learning_rate": 6.387727353094492e-05, + "loss": 4.7155, + "mean_token_accuracy": 0.23670175224542617, + "num_tokens": 18671787.0, + "step": 8315 + }, + { + "entropy": 5.5368040084838865, + "epoch": 8.995132504056247, + "grad_norm": 1.140625, + "learning_rate": 6.372935451700119e-05, + "loss": 4.7209, + "mean_token_accuracy": 0.24138835370540618, + "num_tokens": 18683668.0, + "step": 8320 + }, + { + "entropy": 5.46496221754286, + "epoch": 9.0, + "grad_norm": 2.4375, + "learning_rate": 6.358220326107135e-05, + "loss": 4.7393, + "mean_token_accuracy": 0.24235479533672333, + "num_tokens": 18692001.0, + "step": 8325 + }, + { + "entropy": 5.471250581741333, + "epoch": 9.005408328826393, + "grad_norm": 1.2109375, + "learning_rate": 6.343582029790345e-05, + "loss": 4.5749, + "mean_token_accuracy": 0.2578806057572365, + "num_tokens": 18703498.0, + "step": 8330 + }, + { + "entropy": 5.495151615142822, + "epoch": 9.010816657652786, + "grad_norm": 1.09375, + "learning_rate": 6.32902061594535e-05, + "loss": 4.6751, + "mean_token_accuracy": 0.24880463033914565, + "num_tokens": 18714493.0, + "step": 8335 + }, + { + "entropy": 5.486913824081421, + "epoch": 9.016224986479179, + "grad_norm": 0.9296875, + "learning_rate": 6.314536137488364e-05, + "loss": 4.6983, + "mean_token_accuracy": 0.2343290165066719, + "num_tokens": 18727116.0, + "step": 8340 + }, + { + "entropy": 5.4067400932312015, + "epoch": 9.021633315305571, + "grad_norm": 1.0, + "learning_rate": 6.300128647056007e-05, + "loss": 4.5645, + "mean_token_accuracy": 0.2559074819087982, + "num_tokens": 18738043.0, + "step": 8345 + }, + { + "entropy": 5.426862001419067, + "epoch": 9.027041644131963, + "grad_norm": 1.1484375, + "learning_rate": 6.285798197005136e-05, + "loss": 4.6368, + "mean_token_accuracy": 0.247240249812603, + "num_tokens": 18749744.0, + "step": 8350 + }, + { + "entropy": 5.484080648422241, + "epoch": 9.032449972958355, + "grad_norm": 1.25, + "learning_rate": 6.271544839412647e-05, + "loss": 4.6962, + "mean_token_accuracy": 0.2405407428741455, + "num_tokens": 18760644.0, + "step": 8355 + }, + { + "entropy": 5.418655300140381, + "epoch": 9.037858301784748, + "grad_norm": 1.03125, + "learning_rate": 6.257368626075266e-05, + "loss": 4.5887, + "mean_token_accuracy": 0.25017319768667223, + "num_tokens": 18771554.0, + "step": 8360 + }, + { + "entropy": 5.447339773178101, + "epoch": 9.043266630611141, + "grad_norm": 1.1171875, + "learning_rate": 6.243269608509388e-05, + "loss": 4.6227, + "mean_token_accuracy": 0.24144126176834108, + "num_tokens": 18782652.0, + "step": 8365 + }, + { + "entropy": 5.463773965835571, + "epoch": 9.048674959437534, + "grad_norm": 1.1171875, + "learning_rate": 6.229247837950878e-05, + "loss": 4.6204, + "mean_token_accuracy": 0.24873368740081786, + "num_tokens": 18795266.0, + "step": 8370 + }, + { + "entropy": 5.433094310760498, + "epoch": 9.054083288263927, + "grad_norm": 1.1171875, + "learning_rate": 6.215303365354875e-05, + "loss": 4.6775, + "mean_token_accuracy": 0.24355793595314026, + "num_tokens": 18806572.0, + "step": 8375 + }, + { + "entropy": 5.41509051322937, + "epoch": 9.05949161709032, + "grad_norm": 1.171875, + "learning_rate": 6.201436241395634e-05, + "loss": 4.6564, + "mean_token_accuracy": 0.2417655661702156, + "num_tokens": 18818036.0, + "step": 8380 + }, + { + "entropy": 5.433154106140137, + "epoch": 9.064899945916713, + "grad_norm": 1.078125, + "learning_rate": 6.187646516466311e-05, + "loss": 4.6468, + "mean_token_accuracy": 0.24639349281787873, + "num_tokens": 18828245.0, + "step": 8385 + }, + { + "entropy": 5.409167528152466, + "epoch": 9.070308274743104, + "grad_norm": 1.0078125, + "learning_rate": 6.173934240678794e-05, + "loss": 4.616, + "mean_token_accuracy": 0.25028411000967027, + "num_tokens": 18839538.0, + "step": 8390 + }, + { + "entropy": 5.422529840469361, + "epoch": 9.075716603569496, + "grad_norm": 1.0859375, + "learning_rate": 6.160299463863535e-05, + "loss": 4.5289, + "mean_token_accuracy": 0.25803924947977064, + "num_tokens": 18850294.0, + "step": 8395 + }, + { + "entropy": 5.404397106170654, + "epoch": 9.08112493239589, + "grad_norm": 1.03125, + "learning_rate": 6.146742235569336e-05, + "loss": 4.6043, + "mean_token_accuracy": 0.24872332215309143, + "num_tokens": 18861394.0, + "step": 8400 + }, + { + "entropy": 5.508815145492553, + "epoch": 9.086533261222282, + "grad_norm": 1.078125, + "learning_rate": 6.133262605063199e-05, + "loss": 4.6657, + "mean_token_accuracy": 0.25025164186954496, + "num_tokens": 18873436.0, + "step": 8405 + }, + { + "entropy": 5.423185586929321, + "epoch": 9.091941590048675, + "grad_norm": 1.078125, + "learning_rate": 6.119860621330131e-05, + "loss": 4.5606, + "mean_token_accuracy": 0.24882591515779495, + "num_tokens": 18884174.0, + "step": 8410 + }, + { + "entropy": 5.4953888893127445, + "epoch": 9.097349918875068, + "grad_norm": 1.0078125, + "learning_rate": 6.106536333072973e-05, + "loss": 4.6722, + "mean_token_accuracy": 0.25227693617343905, + "num_tokens": 18895524.0, + "step": 8415 + }, + { + "entropy": 5.379502391815185, + "epoch": 9.10275824770146, + "grad_norm": 1.1484375, + "learning_rate": 6.093289788712218e-05, + "loss": 4.5641, + "mean_token_accuracy": 0.24757325202226638, + "num_tokens": 18906412.0, + "step": 8420 + }, + { + "entropy": 5.449669456481933, + "epoch": 9.108166576527854, + "grad_norm": 1.0859375, + "learning_rate": 6.080121036385845e-05, + "loss": 4.6618, + "mean_token_accuracy": 0.24436687231063842, + "num_tokens": 18917557.0, + "step": 8425 + }, + { + "entropy": 5.548173522949218, + "epoch": 9.113574905354245, + "grad_norm": 1.1796875, + "learning_rate": 6.067030123949119e-05, + "loss": 4.7474, + "mean_token_accuracy": 0.23804895877838134, + "num_tokens": 18928749.0, + "step": 8430 + }, + { + "entropy": 5.457028818130493, + "epoch": 9.118983234180638, + "grad_norm": 1.1953125, + "learning_rate": 6.0540170989744566e-05, + "loss": 4.6692, + "mean_token_accuracy": 0.24220452159643174, + "num_tokens": 18938854.0, + "step": 8435 + }, + { + "entropy": 5.459903860092163, + "epoch": 9.12439156300703, + "grad_norm": 1.03125, + "learning_rate": 6.041082008751215e-05, + "loss": 4.6467, + "mean_token_accuracy": 0.2502425223588943, + "num_tokens": 18949915.0, + "step": 8440 + }, + { + "entropy": 5.524671030044556, + "epoch": 9.129799891833423, + "grad_norm": 1.1328125, + "learning_rate": 6.028224900285545e-05, + "loss": 4.7169, + "mean_token_accuracy": 0.2474487155675888, + "num_tokens": 18961828.0, + "step": 8445 + }, + { + "entropy": 5.4591539859771725, + "epoch": 9.135208220659816, + "grad_norm": 1.046875, + "learning_rate": 6.015445820300207e-05, + "loss": 4.6994, + "mean_token_accuracy": 0.24288366883993148, + "num_tokens": 18974719.0, + "step": 8450 + }, + { + "entropy": 5.440279102325439, + "epoch": 9.140616549486209, + "grad_norm": 1.0625, + "learning_rate": 6.002744815234405e-05, + "loss": 4.6052, + "mean_token_accuracy": 0.25446860641241076, + "num_tokens": 18985540.0, + "step": 8455 + }, + { + "entropy": 5.376692056655884, + "epoch": 9.146024878312602, + "grad_norm": 1.0625, + "learning_rate": 5.990121931243623e-05, + "loss": 4.523, + "mean_token_accuracy": 0.25452662706375123, + "num_tokens": 18997235.0, + "step": 8460 + }, + { + "entropy": 5.412912178039551, + "epoch": 9.151433207138995, + "grad_norm": 1.125, + "learning_rate": 5.977577214199456e-05, + "loss": 4.5439, + "mean_token_accuracy": 0.25683856159448626, + "num_tokens": 19008375.0, + "step": 8465 + }, + { + "entropy": 5.3950666904449465, + "epoch": 9.156841535965386, + "grad_norm": 1.0078125, + "learning_rate": 5.9651107096894214e-05, + "loss": 4.6096, + "mean_token_accuracy": 0.24521999061107635, + "num_tokens": 19019780.0, + "step": 8470 + }, + { + "entropy": 5.463967037200928, + "epoch": 9.162249864791779, + "grad_norm": 1.0859375, + "learning_rate": 5.952722463016836e-05, + "loss": 4.7117, + "mean_token_accuracy": 0.238210092484951, + "num_tokens": 19032124.0, + "step": 8475 + }, + { + "entropy": 5.450633907318116, + "epoch": 9.167658193618172, + "grad_norm": 1.203125, + "learning_rate": 5.940412519200617e-05, + "loss": 4.6675, + "mean_token_accuracy": 0.24538640230894088, + "num_tokens": 19042694.0, + "step": 8480 + }, + { + "entropy": 5.447213935852051, + "epoch": 9.173066522444564, + "grad_norm": 1.0703125, + "learning_rate": 5.928180922975124e-05, + "loss": 4.6825, + "mean_token_accuracy": 0.24806885421276093, + "num_tokens": 19054342.0, + "step": 8485 + }, + { + "entropy": 5.440927219390869, + "epoch": 9.178474851270957, + "grad_norm": 1.1171875, + "learning_rate": 5.916027718790007e-05, + "loss": 4.6251, + "mean_token_accuracy": 0.2514836072921753, + "num_tokens": 19064770.0, + "step": 8490 + }, + { + "entropy": 5.402642679214478, + "epoch": 9.18388318009735, + "grad_norm": 1.0703125, + "learning_rate": 5.903952950810038e-05, + "loss": 4.595, + "mean_token_accuracy": 0.2534944236278534, + "num_tokens": 19076038.0, + "step": 8495 + }, + { + "entropy": 5.4304827690124515, + "epoch": 9.189291508923743, + "grad_norm": 1.1171875, + "learning_rate": 5.8919566629149535e-05, + "loss": 4.6499, + "mean_token_accuracy": 0.2401322290301323, + "num_tokens": 19088024.0, + "step": 8500 + }, + { + "epoch": 9.189291508923743, + "eval_entropy": 5.355288397182118, + "eval_loss": 5.8384575843811035, + "eval_mean_token_accuracy": 0.18395211405374787, + "eval_num_tokens": 19088024.0, + "eval_runtime": 5.1009, + "eval_samples_per_second": 689.099, + "eval_steps_per_second": 86.26, + "step": 8500 + }, + { + "entropy": 5.414701795578003, + "epoch": 9.194699837750136, + "grad_norm": 1.046875, + "learning_rate": 5.880038898699291e-05, + "loss": 4.5511, + "mean_token_accuracy": 0.25013924241065977, + "num_tokens": 19099342.0, + "step": 8505 + }, + { + "entropy": 5.461292791366577, + "epoch": 9.200108166576527, + "grad_norm": 1.078125, + "learning_rate": 5.8681997014722303e-05, + "loss": 4.6646, + "mean_token_accuracy": 0.24696438610553742, + "num_tokens": 19111978.0, + "step": 8510 + }, + { + "entropy": 5.496758985519409, + "epoch": 9.20551649540292, + "grad_norm": 1.1328125, + "learning_rate": 5.856439114257446e-05, + "loss": 4.7375, + "mean_token_accuracy": 0.23933280557394027, + "num_tokens": 19123859.0, + "step": 8515 + }, + { + "entropy": 5.413985729217529, + "epoch": 9.210924824229313, + "grad_norm": 1.1328125, + "learning_rate": 5.84475717979294e-05, + "loss": 4.5734, + "mean_token_accuracy": 0.24977834671735763, + "num_tokens": 19135058.0, + "step": 8520 + }, + { + "entropy": 5.42896671295166, + "epoch": 9.216333153055706, + "grad_norm": 1.1640625, + "learning_rate": 5.833153940530882e-05, + "loss": 4.6293, + "mean_token_accuracy": 0.24864333271980285, + "num_tokens": 19146568.0, + "step": 8525 + }, + { + "entropy": 5.408185768127441, + "epoch": 9.221741481882098, + "grad_norm": 1.1640625, + "learning_rate": 5.8216294386374727e-05, + "loss": 4.5878, + "mean_token_accuracy": 0.2575874090194702, + "num_tokens": 19158402.0, + "step": 8530 + }, + { + "entropy": 5.398104095458985, + "epoch": 9.227149810708491, + "grad_norm": 1.15625, + "learning_rate": 5.8101837159927845e-05, + "loss": 4.6647, + "mean_token_accuracy": 0.24954181611537934, + "num_tokens": 19170716.0, + "step": 8535 + }, + { + "entropy": 5.549849033355713, + "epoch": 9.232558139534884, + "grad_norm": 0.93359375, + "learning_rate": 5.798816814190595e-05, + "loss": 4.6533, + "mean_token_accuracy": 0.24624937325716018, + "num_tokens": 19184085.0, + "step": 8540 + }, + { + "entropy": 5.454240703582764, + "epoch": 9.237966468361277, + "grad_norm": 1.125, + "learning_rate": 5.7875287745382504e-05, + "loss": 4.5342, + "mean_token_accuracy": 0.2563025146722794, + "num_tokens": 19194619.0, + "step": 8545 + }, + { + "entropy": 5.433774805068969, + "epoch": 9.24337479718767, + "grad_norm": 1.125, + "learning_rate": 5.776319638056516e-05, + "loss": 4.6728, + "mean_token_accuracy": 0.24213346987962722, + "num_tokens": 19206422.0, + "step": 8550 + }, + { + "entropy": 5.463729619979858, + "epoch": 9.248783126014061, + "grad_norm": 1.15625, + "learning_rate": 5.76518944547942e-05, + "loss": 4.6746, + "mean_token_accuracy": 0.24669480919837952, + "num_tokens": 19217723.0, + "step": 8555 + }, + { + "entropy": 5.442994546890259, + "epoch": 9.254191454840454, + "grad_norm": 1.25, + "learning_rate": 5.754138237254108e-05, + "loss": 4.5825, + "mean_token_accuracy": 0.24664355218410491, + "num_tokens": 19228135.0, + "step": 8560 + }, + { + "entropy": 5.431949138641357, + "epoch": 9.259599783666847, + "grad_norm": 1.03125, + "learning_rate": 5.743166053540692e-05, + "loss": 4.5989, + "mean_token_accuracy": 0.25546385645866393, + "num_tokens": 19238553.0, + "step": 8565 + }, + { + "entropy": 5.430339622497558, + "epoch": 9.26500811249324, + "grad_norm": 1.15625, + "learning_rate": 5.732272934212113e-05, + "loss": 4.6622, + "mean_token_accuracy": 0.2454684481024742, + "num_tokens": 19249152.0, + "step": 8570 + }, + { + "entropy": 5.365235662460327, + "epoch": 9.270416441319632, + "grad_norm": 1.078125, + "learning_rate": 5.721458918854001e-05, + "loss": 4.54, + "mean_token_accuracy": 0.2619824156165123, + "num_tokens": 19259790.0, + "step": 8575 + }, + { + "entropy": 5.431275129318237, + "epoch": 9.275824770146025, + "grad_norm": 1.09375, + "learning_rate": 5.7107240467645024e-05, + "loss": 4.5612, + "mean_token_accuracy": 0.25351282209157944, + "num_tokens": 19271654.0, + "step": 8580 + }, + { + "entropy": 5.416318035125732, + "epoch": 9.281233098972418, + "grad_norm": 1.234375, + "learning_rate": 5.700068356954172e-05, + "loss": 4.608, + "mean_token_accuracy": 0.25387355536222456, + "num_tokens": 19281291.0, + "step": 8585 + }, + { + "entropy": 5.406040143966675, + "epoch": 9.286641427798811, + "grad_norm": 1.1953125, + "learning_rate": 5.689491888145811e-05, + "loss": 4.5806, + "mean_token_accuracy": 0.2477464035153389, + "num_tokens": 19291789.0, + "step": 8590 + }, + { + "entropy": 5.4958906173706055, + "epoch": 9.292049756625202, + "grad_norm": 1.125, + "learning_rate": 5.67899467877433e-05, + "loss": 4.6505, + "mean_token_accuracy": 0.24176725894212722, + "num_tokens": 19301881.0, + "step": 8595 + }, + { + "entropy": 5.414161634445191, + "epoch": 9.297458085451595, + "grad_norm": 1.0, + "learning_rate": 5.668576766986611e-05, + "loss": 4.6152, + "mean_token_accuracy": 0.25279340893030167, + "num_tokens": 19314800.0, + "step": 8600 + }, + { + "entropy": 5.398559617996216, + "epoch": 9.302866414277988, + "grad_norm": 1.171875, + "learning_rate": 5.658238190641378e-05, + "loss": 4.6281, + "mean_token_accuracy": 0.24605038315057753, + "num_tokens": 19325585.0, + "step": 8605 + }, + { + "entropy": 5.445245218276978, + "epoch": 9.30827474310438, + "grad_norm": 1.03125, + "learning_rate": 5.6479789873090273e-05, + "loss": 4.6615, + "mean_token_accuracy": 0.24458087384700775, + "num_tokens": 19337178.0, + "step": 8610 + }, + { + "entropy": 5.38250150680542, + "epoch": 9.313683071930773, + "grad_norm": 1.0625, + "learning_rate": 5.637799194271541e-05, + "loss": 4.5256, + "mean_token_accuracy": 0.2564465910196304, + "num_tokens": 19348196.0, + "step": 8615 + }, + { + "entropy": 5.46012053489685, + "epoch": 9.319091400757166, + "grad_norm": 1.1875, + "learning_rate": 5.6276988485223004e-05, + "loss": 4.6495, + "mean_token_accuracy": 0.24070032835006713, + "num_tokens": 19359198.0, + "step": 8620 + }, + { + "entropy": 5.4416563510894775, + "epoch": 9.32449972958356, + "grad_norm": 1.1484375, + "learning_rate": 5.617677986765987e-05, + "loss": 4.5748, + "mean_token_accuracy": 0.25195776373147966, + "num_tokens": 19369577.0, + "step": 8625 + }, + { + "entropy": 5.484540271759033, + "epoch": 9.329908058409952, + "grad_norm": 1.1015625, + "learning_rate": 5.6077366454184446e-05, + "loss": 4.7251, + "mean_token_accuracy": 0.2414395123720169, + "num_tokens": 19381875.0, + "step": 8630 + }, + { + "entropy": 5.515837144851685, + "epoch": 9.335316387236343, + "grad_norm": 1.0625, + "learning_rate": 5.597874860606521e-05, + "loss": 4.7093, + "mean_token_accuracy": 0.2484044462442398, + "num_tokens": 19393619.0, + "step": 8635 + }, + { + "entropy": 5.377680158615112, + "epoch": 9.340724716062736, + "grad_norm": 1.125, + "learning_rate": 5.5880926681679695e-05, + "loss": 4.6044, + "mean_token_accuracy": 0.24657318145036697, + "num_tokens": 19404011.0, + "step": 8640 + }, + { + "entropy": 5.477707862854004, + "epoch": 9.346133044889129, + "grad_norm": 1.09375, + "learning_rate": 5.578390103651297e-05, + "loss": 4.6995, + "mean_token_accuracy": 0.24455140382051468, + "num_tokens": 19414713.0, + "step": 8645 + }, + { + "entropy": 5.45700216293335, + "epoch": 9.351541373715522, + "grad_norm": 1.109375, + "learning_rate": 5.568767202315647e-05, + "loss": 4.6194, + "mean_token_accuracy": 0.2514105409383774, + "num_tokens": 19425400.0, + "step": 8650 + }, + { + "entropy": 5.449418592453003, + "epoch": 9.356949702541915, + "grad_norm": 1.0234375, + "learning_rate": 5.559223999130667e-05, + "loss": 4.593, + "mean_token_accuracy": 0.25208231061697006, + "num_tokens": 19436064.0, + "step": 8655 + }, + { + "entropy": 5.372612380981446, + "epoch": 9.362358031368307, + "grad_norm": 1.109375, + "learning_rate": 5.549760528776376e-05, + "loss": 4.5276, + "mean_token_accuracy": 0.2524605870246887, + "num_tokens": 19446669.0, + "step": 8660 + }, + { + "entropy": 5.497077941894531, + "epoch": 9.3677663601947, + "grad_norm": 1.0078125, + "learning_rate": 5.5403768256430475e-05, + "loss": 4.7123, + "mean_token_accuracy": 0.2496739625930786, + "num_tokens": 19457299.0, + "step": 8665 + }, + { + "entropy": 5.5508674621582035, + "epoch": 9.373174689021093, + "grad_norm": 1.09375, + "learning_rate": 5.5310729238310854e-05, + "loss": 4.7727, + "mean_token_accuracy": 0.2367933690547943, + "num_tokens": 19469181.0, + "step": 8670 + }, + { + "entropy": 5.502329254150391, + "epoch": 9.378583017847484, + "grad_norm": 1.125, + "learning_rate": 5.521848857150884e-05, + "loss": 4.6835, + "mean_token_accuracy": 0.24986590594053268, + "num_tokens": 19480393.0, + "step": 8675 + }, + { + "entropy": 5.4657402515411375, + "epoch": 9.383991346673877, + "grad_norm": 1.1328125, + "learning_rate": 5.512704659122725e-05, + "loss": 4.6301, + "mean_token_accuracy": 0.25207789838314054, + "num_tokens": 19491412.0, + "step": 8680 + }, + { + "entropy": 5.400192451477051, + "epoch": 9.38939967550027, + "grad_norm": 1.0859375, + "learning_rate": 5.503640362976646e-05, + "loss": 4.5772, + "mean_token_accuracy": 0.24962837845087052, + "num_tokens": 19502601.0, + "step": 8685 + }, + { + "entropy": 5.460760641098022, + "epoch": 9.394808004326663, + "grad_norm": 1.1328125, + "learning_rate": 5.4946560016523184e-05, + "loss": 4.6325, + "mean_token_accuracy": 0.24655720442533494, + "num_tokens": 19513985.0, + "step": 8690 + }, + { + "entropy": 5.474077796936035, + "epoch": 9.400216333153056, + "grad_norm": 1.015625, + "learning_rate": 5.485751607798937e-05, + "loss": 4.6622, + "mean_token_accuracy": 0.2437178909778595, + "num_tokens": 19525575.0, + "step": 8695 + }, + { + "entropy": 5.4889716625213625, + "epoch": 9.405624661979449, + "grad_norm": 1.15625, + "learning_rate": 5.4769272137750855e-05, + "loss": 4.7265, + "mean_token_accuracy": 0.23992366939783097, + "num_tokens": 19536130.0, + "step": 8700 + }, + { + "entropy": 5.443988084793091, + "epoch": 9.411032990805841, + "grad_norm": 1.09375, + "learning_rate": 5.468182851648629e-05, + "loss": 4.6104, + "mean_token_accuracy": 0.24249817579984664, + "num_tokens": 19547803.0, + "step": 8705 + }, + { + "entropy": 5.466119003295899, + "epoch": 9.416441319632234, + "grad_norm": 1.1015625, + "learning_rate": 5.4595185531966074e-05, + "loss": 4.6343, + "mean_token_accuracy": 0.24887861609458922, + "num_tokens": 19559622.0, + "step": 8710 + }, + { + "entropy": 5.432012033462525, + "epoch": 9.421849648458625, + "grad_norm": 1.125, + "learning_rate": 5.450934349905094e-05, + "loss": 4.643, + "mean_token_accuracy": 0.2446851685643196, + "num_tokens": 19569914.0, + "step": 8715 + }, + { + "entropy": 5.471200370788575, + "epoch": 9.427257977285018, + "grad_norm": 1.140625, + "learning_rate": 5.44243027296911e-05, + "loss": 4.5949, + "mean_token_accuracy": 0.2439989998936653, + "num_tokens": 19580770.0, + "step": 8720 + }, + { + "entropy": 5.461276531219482, + "epoch": 9.432666306111411, + "grad_norm": 1.109375, + "learning_rate": 5.434006353292485e-05, + "loss": 4.6221, + "mean_token_accuracy": 0.25116735100746157, + "num_tokens": 19591588.0, + "step": 8725 + }, + { + "entropy": 5.491225814819336, + "epoch": 9.438074634937804, + "grad_norm": 1.1171875, + "learning_rate": 5.425662621487766e-05, + "loss": 4.6659, + "mean_token_accuracy": 0.24391200244426728, + "num_tokens": 19602866.0, + "step": 8730 + }, + { + "entropy": 5.4796041488647464, + "epoch": 9.443482963764197, + "grad_norm": 1.140625, + "learning_rate": 5.417399107876092e-05, + "loss": 4.6067, + "mean_token_accuracy": 0.2501275062561035, + "num_tokens": 19613546.0, + "step": 8735 + }, + { + "entropy": 5.517991018295288, + "epoch": 9.44889129259059, + "grad_norm": 1.0625, + "learning_rate": 5.4092158424870936e-05, + "loss": 4.7437, + "mean_token_accuracy": 0.23281113058328629, + "num_tokens": 19626221.0, + "step": 8740 + }, + { + "entropy": 5.461719083786011, + "epoch": 9.454299621416983, + "grad_norm": 1.1875, + "learning_rate": 5.40111285505877e-05, + "loss": 4.7382, + "mean_token_accuracy": 0.23329047858715057, + "num_tokens": 19637166.0, + "step": 8745 + }, + { + "entropy": 5.459234237670898, + "epoch": 9.459707950243375, + "grad_norm": 1.0703125, + "learning_rate": 5.393090175037399e-05, + "loss": 4.6512, + "mean_token_accuracy": 0.25019672363996504, + "num_tokens": 19648448.0, + "step": 8750 + }, + { + "entropy": 5.472616815567017, + "epoch": 9.465116279069768, + "grad_norm": 1.0625, + "learning_rate": 5.385147831577424e-05, + "loss": 4.6448, + "mean_token_accuracy": 0.2528526455163956, + "num_tokens": 19660282.0, + "step": 8755 + }, + { + "entropy": 5.475557041168213, + "epoch": 9.47052460789616, + "grad_norm": 1.203125, + "learning_rate": 5.377285853541332e-05, + "loss": 4.6828, + "mean_token_accuracy": 0.24167207330465318, + "num_tokens": 19670672.0, + "step": 8760 + }, + { + "entropy": 5.466441297531128, + "epoch": 9.475932936722552, + "grad_norm": 1.03125, + "learning_rate": 5.369504269499574e-05, + "loss": 4.6538, + "mean_token_accuracy": 0.24787724167108535, + "num_tokens": 19682894.0, + "step": 8765 + }, + { + "entropy": 5.512633275985718, + "epoch": 9.481341265548945, + "grad_norm": 1.0859375, + "learning_rate": 5.3618031077304406e-05, + "loss": 4.6526, + "mean_token_accuracy": 0.25008216202259065, + "num_tokens": 19693743.0, + "step": 8770 + }, + { + "entropy": 5.437808418273926, + "epoch": 9.486749594375338, + "grad_norm": 1.125, + "learning_rate": 5.354182396219974e-05, + "loss": 4.6714, + "mean_token_accuracy": 0.2538447692990303, + "num_tokens": 19703891.0, + "step": 8775 + }, + { + "entropy": 5.485371351242065, + "epoch": 9.49215792320173, + "grad_norm": 1.21875, + "learning_rate": 5.3466421626618573e-05, + "loss": 4.6527, + "mean_token_accuracy": 0.252787709236145, + "num_tokens": 19714163.0, + "step": 8780 + }, + { + "entropy": 5.483297872543335, + "epoch": 9.497566252028124, + "grad_norm": 1.0859375, + "learning_rate": 5.339182434457314e-05, + "loss": 4.6554, + "mean_token_accuracy": 0.2414626508951187, + "num_tokens": 19725750.0, + "step": 8785 + }, + { + "entropy": 5.489177989959717, + "epoch": 9.502974580854517, + "grad_norm": 0.9453125, + "learning_rate": 5.3318032387150165e-05, + "loss": 4.6578, + "mean_token_accuracy": 0.24737905859947204, + "num_tokens": 19737120.0, + "step": 8790 + }, + { + "entropy": 5.454617691040039, + "epoch": 9.50838290968091, + "grad_norm": 1.2109375, + "learning_rate": 5.324504602250981e-05, + "loss": 4.6724, + "mean_token_accuracy": 0.24410795718431472, + "num_tokens": 19748568.0, + "step": 8795 + }, + { + "entropy": 5.4756224155426025, + "epoch": 9.5137912385073, + "grad_norm": 1.125, + "learning_rate": 5.317286551588464e-05, + "loss": 4.635, + "mean_token_accuracy": 0.2503379836678505, + "num_tokens": 19760786.0, + "step": 8800 + }, + { + "entropy": 5.436118221282959, + "epoch": 9.519199567333693, + "grad_norm": 1.1484375, + "learning_rate": 5.310149112957882e-05, + "loss": 4.6435, + "mean_token_accuracy": 0.2574490621685982, + "num_tokens": 19771519.0, + "step": 8805 + }, + { + "entropy": 5.495423984527588, + "epoch": 9.524607896160086, + "grad_norm": 1.140625, + "learning_rate": 5.3030923122967036e-05, + "loss": 4.6097, + "mean_token_accuracy": 0.25485946983098984, + "num_tokens": 19782010.0, + "step": 8810 + }, + { + "entropy": 5.417821216583252, + "epoch": 9.530016224986479, + "grad_norm": 1.0078125, + "learning_rate": 5.296116175249357e-05, + "loss": 4.6528, + "mean_token_accuracy": 0.24572969377040862, + "num_tokens": 19793436.0, + "step": 8815 + }, + { + "entropy": 5.413254308700561, + "epoch": 9.535424553812872, + "grad_norm": 1.0859375, + "learning_rate": 5.289220727167139e-05, + "loss": 4.6549, + "mean_token_accuracy": 0.24831525087356568, + "num_tokens": 19805005.0, + "step": 8820 + }, + { + "entropy": 5.3797554016113285, + "epoch": 9.540832882639265, + "grad_norm": 1.1953125, + "learning_rate": 5.282405993108127e-05, + "loss": 4.6243, + "mean_token_accuracy": 0.2492424175143242, + "num_tokens": 19816200.0, + "step": 8825 + }, + { + "entropy": 5.493478059768677, + "epoch": 9.546241211465658, + "grad_norm": 1.1640625, + "learning_rate": 5.2756719978370794e-05, + "loss": 4.6715, + "mean_token_accuracy": 0.2574515029788017, + "num_tokens": 19826919.0, + "step": 8830 + }, + { + "entropy": 5.511475610733032, + "epoch": 9.55164954029205, + "grad_norm": 0.98828125, + "learning_rate": 5.2690187658253525e-05, + "loss": 4.7394, + "mean_token_accuracy": 0.23909560292959214, + "num_tokens": 19838852.0, + "step": 8835 + }, + { + "entropy": 5.513745832443237, + "epoch": 9.557057869118442, + "grad_norm": 1.0859375, + "learning_rate": 5.262446321250803e-05, + "loss": 4.6743, + "mean_token_accuracy": 0.2477165475487709, + "num_tokens": 19850748.0, + "step": 8840 + }, + { + "entropy": 5.442627429962158, + "epoch": 9.562466197944834, + "grad_norm": 0.96484375, + "learning_rate": 5.2559546879977084e-05, + "loss": 4.6905, + "mean_token_accuracy": 0.23939739316701888, + "num_tokens": 19862599.0, + "step": 8845 + }, + { + "entropy": 5.422875022888183, + "epoch": 9.567874526771227, + "grad_norm": 1.296875, + "learning_rate": 5.2495438896566854e-05, + "loss": 4.6324, + "mean_token_accuracy": 0.2445455089211464, + "num_tokens": 19872573.0, + "step": 8850 + }, + { + "entropy": 5.443650245666504, + "epoch": 9.57328285559762, + "grad_norm": 1.1328125, + "learning_rate": 5.2432139495245855e-05, + "loss": 4.5618, + "mean_token_accuracy": 0.2563523814082146, + "num_tokens": 19883859.0, + "step": 8855 + }, + { + "entropy": 5.426159954071045, + "epoch": 9.578691184424013, + "grad_norm": 1.21875, + "learning_rate": 5.236964890604426e-05, + "loss": 4.6051, + "mean_token_accuracy": 0.25159233063459396, + "num_tokens": 19895552.0, + "step": 8860 + }, + { + "entropy": 5.4040626049041744, + "epoch": 9.584099513250406, + "grad_norm": 1.1171875, + "learning_rate": 5.230796735605304e-05, + "loss": 4.5761, + "mean_token_accuracy": 0.24699845761060715, + "num_tokens": 19905664.0, + "step": 8865 + }, + { + "entropy": 5.444045734405518, + "epoch": 9.589507842076799, + "grad_norm": 1.1796875, + "learning_rate": 5.224709506942305e-05, + "loss": 4.6746, + "mean_token_accuracy": 0.24605967700481415, + "num_tokens": 19916725.0, + "step": 8870 + }, + { + "entropy": 5.4093259334564205, + "epoch": 9.594916170903192, + "grad_norm": 1.1640625, + "learning_rate": 5.218703226736438e-05, + "loss": 4.6441, + "mean_token_accuracy": 0.24932057708501815, + "num_tokens": 19927584.0, + "step": 8875 + }, + { + "entropy": 5.448268842697144, + "epoch": 9.600324499729584, + "grad_norm": 1.0078125, + "learning_rate": 5.212777916814533e-05, + "loss": 4.6323, + "mean_token_accuracy": 0.24981157034635543, + "num_tokens": 19939122.0, + "step": 8880 + }, + { + "entropy": 5.476501035690307, + "epoch": 9.605732828555976, + "grad_norm": 1.1328125, + "learning_rate": 5.206933598709179e-05, + "loss": 4.7091, + "mean_token_accuracy": 0.24469900280237197, + "num_tokens": 19950513.0, + "step": 8885 + }, + { + "entropy": 5.472732162475586, + "epoch": 9.611141157382368, + "grad_norm": 1.0078125, + "learning_rate": 5.20117029365865e-05, + "loss": 4.6402, + "mean_token_accuracy": 0.24906859546899796, + "num_tokens": 19961960.0, + "step": 8890 + }, + { + "entropy": 5.519441366195679, + "epoch": 9.616549486208761, + "grad_norm": 1.125, + "learning_rate": 5.195488022606802e-05, + "loss": 4.6629, + "mean_token_accuracy": 0.25013741850852966, + "num_tokens": 19973222.0, + "step": 8895 + }, + { + "entropy": 5.426929998397827, + "epoch": 9.621957815035154, + "grad_norm": 1.078125, + "learning_rate": 5.189886806203023e-05, + "loss": 4.5978, + "mean_token_accuracy": 0.2521109014749527, + "num_tokens": 19985053.0, + "step": 8900 + }, + { + "entropy": 5.424173307418823, + "epoch": 9.627366143861547, + "grad_norm": 1.03125, + "learning_rate": 5.184366664802149e-05, + "loss": 4.5725, + "mean_token_accuracy": 0.2557208761572838, + "num_tokens": 19996937.0, + "step": 8905 + }, + { + "entropy": 5.4433815479278564, + "epoch": 9.63277447268794, + "grad_norm": 0.9765625, + "learning_rate": 5.178927618464384e-05, + "loss": 4.6048, + "mean_token_accuracy": 0.2559176430106163, + "num_tokens": 20008749.0, + "step": 8910 + }, + { + "entropy": 5.541851902008057, + "epoch": 9.638182801514333, + "grad_norm": 1.0859375, + "learning_rate": 5.1735696869552364e-05, + "loss": 4.7442, + "mean_token_accuracy": 0.23746976107358933, + "num_tokens": 20020279.0, + "step": 8915 + }, + { + "entropy": 5.529015350341797, + "epoch": 9.643591130340724, + "grad_norm": 1.15625, + "learning_rate": 5.1682928897454416e-05, + "loss": 4.752, + "mean_token_accuracy": 0.23895672857761383, + "num_tokens": 20032133.0, + "step": 8920 + }, + { + "entropy": 5.438677549362183, + "epoch": 9.648999459167117, + "grad_norm": 1.0, + "learning_rate": 5.1630972460108904e-05, + "loss": 4.573, + "mean_token_accuracy": 0.25013258010149003, + "num_tokens": 20044253.0, + "step": 8925 + }, + { + "entropy": 5.505651903152466, + "epoch": 9.65440778799351, + "grad_norm": 1.1171875, + "learning_rate": 5.1579827746325694e-05, + "loss": 4.6885, + "mean_token_accuracy": 0.24737086296081542, + "num_tokens": 20055445.0, + "step": 8930 + }, + { + "entropy": 5.540178680419922, + "epoch": 9.659816116819902, + "grad_norm": 1.0703125, + "learning_rate": 5.152949494196472e-05, + "loss": 4.6855, + "mean_token_accuracy": 0.23843573182821273, + "num_tokens": 20067670.0, + "step": 8935 + }, + { + "entropy": 5.487316274642945, + "epoch": 9.665224445646295, + "grad_norm": 1.109375, + "learning_rate": 5.1479974229935575e-05, + "loss": 4.7008, + "mean_token_accuracy": 0.24444413483142852, + "num_tokens": 20079408.0, + "step": 8940 + }, + { + "entropy": 5.424431562423706, + "epoch": 9.670632774472688, + "grad_norm": 1.265625, + "learning_rate": 5.1431265790196583e-05, + "loss": 4.608, + "mean_token_accuracy": 0.2578970596194267, + "num_tokens": 20089371.0, + "step": 8945 + }, + { + "entropy": 5.4797529697418215, + "epoch": 9.676041103299081, + "grad_norm": 1.21875, + "learning_rate": 5.138336979975439e-05, + "loss": 4.6391, + "mean_token_accuracy": 0.23881180584430695, + "num_tokens": 20099521.0, + "step": 8950 + }, + { + "entropy": 5.480092000961304, + "epoch": 9.681449432125474, + "grad_norm": 1.1484375, + "learning_rate": 5.13362864326631e-05, + "loss": 4.6814, + "mean_token_accuracy": 0.2435513660311699, + "num_tokens": 20111087.0, + "step": 8955 + }, + { + "entropy": 5.4894490242004395, + "epoch": 9.686857760951867, + "grad_norm": 0.95703125, + "learning_rate": 5.12900158600238e-05, + "loss": 4.6845, + "mean_token_accuracy": 0.2326431542634964, + "num_tokens": 20122791.0, + "step": 8960 + }, + { + "entropy": 5.434522533416748, + "epoch": 9.692266089778258, + "grad_norm": 1.125, + "learning_rate": 5.12445582499838e-05, + "loss": 4.6002, + "mean_token_accuracy": 0.25133200734853745, + "num_tokens": 20133665.0, + "step": 8965 + }, + { + "entropy": 5.475171089172363, + "epoch": 9.69767441860465, + "grad_norm": 1.1328125, + "learning_rate": 5.119991376773624e-05, + "loss": 4.6916, + "mean_token_accuracy": 0.240267014503479, + "num_tokens": 20144749.0, + "step": 8970 + }, + { + "entropy": 5.413376522064209, + "epoch": 9.703082747431043, + "grad_norm": 1.1484375, + "learning_rate": 5.115608257551923e-05, + "loss": 4.5854, + "mean_token_accuracy": 0.2520302295684814, + "num_tokens": 20154605.0, + "step": 8975 + }, + { + "entropy": 5.4960608959198, + "epoch": 9.708491076257436, + "grad_norm": 1.1171875, + "learning_rate": 5.11130648326154e-05, + "loss": 4.6974, + "mean_token_accuracy": 0.2541967272758484, + "num_tokens": 20165947.0, + "step": 8980 + }, + { + "entropy": 5.500739574432373, + "epoch": 9.71389940508383, + "grad_norm": 1.1953125, + "learning_rate": 5.107086069535136e-05, + "loss": 4.6777, + "mean_token_accuracy": 0.24398757368326188, + "num_tokens": 20176697.0, + "step": 8985 + }, + { + "entropy": 5.442888402938843, + "epoch": 9.719307733910222, + "grad_norm": 1.1015625, + "learning_rate": 5.1029470317097044e-05, + "loss": 4.6313, + "mean_token_accuracy": 0.24862174689769745, + "num_tokens": 20189022.0, + "step": 8990 + }, + { + "entropy": 5.48392686843872, + "epoch": 9.724716062736615, + "grad_norm": 1.09375, + "learning_rate": 5.098889384826519e-05, + "loss": 4.7315, + "mean_token_accuracy": 0.2422761768102646, + "num_tokens": 20200603.0, + "step": 8995 + }, + { + "entropy": 5.481822299957275, + "epoch": 9.730124391563008, + "grad_norm": 1.2734375, + "learning_rate": 5.094913143631073e-05, + "loss": 4.6952, + "mean_token_accuracy": 0.2398435041308403, + "num_tokens": 20212258.0, + "step": 9000 + }, + { + "epoch": 9.730124391563008, + "eval_entropy": 5.354865049232136, + "eval_loss": 5.839512348175049, + "eval_mean_token_accuracy": 0.1842434752563184, + "eval_num_tokens": 20212258.0, + "eval_runtime": 5.0756, + "eval_samples_per_second": 692.532, + "eval_steps_per_second": 86.69, + "step": 9000 + }, + { + "entropy": 5.437223434448242, + "epoch": 9.735532720389399, + "grad_norm": 1.1328125, + "learning_rate": 5.0910183225730404e-05, + "loss": 4.6648, + "mean_token_accuracy": 0.2465147227048874, + "num_tokens": 20222458.0, + "step": 9005 + }, + { + "entropy": 5.410476160049439, + "epoch": 9.740941049215792, + "grad_norm": 1.0078125, + "learning_rate": 5.087204935806211e-05, + "loss": 4.6662, + "mean_token_accuracy": 0.24737576842308046, + "num_tokens": 20233695.0, + "step": 9010 + }, + { + "entropy": 5.485530757904053, + "epoch": 9.746349378042185, + "grad_norm": 1.1015625, + "learning_rate": 5.0834729971884386e-05, + "loss": 4.6748, + "mean_token_accuracy": 0.2474995106458664, + "num_tokens": 20244901.0, + "step": 9015 + }, + { + "entropy": 5.387860631942749, + "epoch": 9.751757706868577, + "grad_norm": 1.1328125, + "learning_rate": 5.0798225202815953e-05, + "loss": 4.5677, + "mean_token_accuracy": 0.25239468961954115, + "num_tokens": 20255337.0, + "step": 9020 + }, + { + "entropy": 5.458485174179077, + "epoch": 9.75716603569497, + "grad_norm": 1.0703125, + "learning_rate": 5.0762535183515254e-05, + "loss": 4.634, + "mean_token_accuracy": 0.2488296926021576, + "num_tokens": 20267282.0, + "step": 9025 + }, + { + "entropy": 5.501320314407349, + "epoch": 9.762574364521363, + "grad_norm": 1.171875, + "learning_rate": 5.072766004367988e-05, + "loss": 4.7219, + "mean_token_accuracy": 0.23221442401409148, + "num_tokens": 20277576.0, + "step": 9030 + }, + { + "entropy": 5.466405773162842, + "epoch": 9.767982693347756, + "grad_norm": 1.140625, + "learning_rate": 5.069359991004621e-05, + "loss": 4.6865, + "mean_token_accuracy": 0.25003188401460646, + "num_tokens": 20287805.0, + "step": 9035 + }, + { + "entropy": 5.40527491569519, + "epoch": 9.773391022174149, + "grad_norm": 1.09375, + "learning_rate": 5.066035490638881e-05, + "loss": 4.6064, + "mean_token_accuracy": 0.24705663770437242, + "num_tokens": 20298064.0, + "step": 9040 + }, + { + "entropy": 5.4873542308807375, + "epoch": 9.77879935100054, + "grad_norm": 1.1328125, + "learning_rate": 5.0627925153520106e-05, + "loss": 4.6794, + "mean_token_accuracy": 0.24305669963359833, + "num_tokens": 20308819.0, + "step": 9045 + }, + { + "entropy": 5.457462167739868, + "epoch": 9.784207679826933, + "grad_norm": 1.0625, + "learning_rate": 5.0596310769289915e-05, + "loss": 4.6485, + "mean_token_accuracy": 0.25115451514720916, + "num_tokens": 20320365.0, + "step": 9050 + }, + { + "entropy": 5.454823970794678, + "epoch": 9.789616008653326, + "grad_norm": 1.125, + "learning_rate": 5.056551186858495e-05, + "loss": 4.6294, + "mean_token_accuracy": 0.24475007653236389, + "num_tokens": 20331704.0, + "step": 9055 + }, + { + "entropy": 5.353820419311523, + "epoch": 9.795024337479719, + "grad_norm": 1.171875, + "learning_rate": 5.053552856332852e-05, + "loss": 4.4965, + "mean_token_accuracy": 0.26017560213804247, + "num_tokens": 20342839.0, + "step": 9060 + }, + { + "entropy": 5.413043642044068, + "epoch": 9.800432666306111, + "grad_norm": 1.03125, + "learning_rate": 5.050636096248e-05, + "loss": 4.6375, + "mean_token_accuracy": 0.24317818880081177, + "num_tokens": 20354353.0, + "step": 9065 + }, + { + "entropy": 5.502721500396729, + "epoch": 9.805840995132504, + "grad_norm": 1.0625, + "learning_rate": 5.0478009172034545e-05, + "loss": 4.6582, + "mean_token_accuracy": 0.24952382892370223, + "num_tokens": 20365610.0, + "step": 9070 + }, + { + "entropy": 5.565335750579834, + "epoch": 9.811249323958897, + "grad_norm": 1.1015625, + "learning_rate": 5.04504732950226e-05, + "loss": 4.7255, + "mean_token_accuracy": 0.24599823355674744, + "num_tokens": 20376911.0, + "step": 9075 + }, + { + "entropy": 5.399429368972778, + "epoch": 9.81665765278529, + "grad_norm": 1.140625, + "learning_rate": 5.0423753431509606e-05, + "loss": 4.6245, + "mean_token_accuracy": 0.24822494983673096, + "num_tokens": 20388272.0, + "step": 9080 + }, + { + "entropy": 5.486297941207885, + "epoch": 9.822065981611683, + "grad_norm": 1.1015625, + "learning_rate": 5.039784967859564e-05, + "loss": 4.6326, + "mean_token_accuracy": 0.2528668448328972, + "num_tokens": 20399197.0, + "step": 9085 + }, + { + "entropy": 5.444679307937622, + "epoch": 9.827474310438074, + "grad_norm": 1.15625, + "learning_rate": 5.0372762130414975e-05, + "loss": 4.6493, + "mean_token_accuracy": 0.2412353664636612, + "num_tokens": 20410161.0, + "step": 9090 + }, + { + "entropy": 5.479825067520141, + "epoch": 9.832882639264467, + "grad_norm": 1.21875, + "learning_rate": 5.034849087813583e-05, + "loss": 4.6847, + "mean_token_accuracy": 0.24071089327335357, + "num_tokens": 20421779.0, + "step": 9095 + }, + { + "entropy": 5.559629583358765, + "epoch": 9.83829096809086, + "grad_norm": 1.0546875, + "learning_rate": 5.032503600995998e-05, + "loss": 4.7296, + "mean_token_accuracy": 0.24672351330518721, + "num_tokens": 20433774.0, + "step": 9100 + }, + { + "entropy": 5.435830020904541, + "epoch": 9.843699296917253, + "grad_norm": 0.9296875, + "learning_rate": 5.030239761112246e-05, + "loss": 4.5981, + "mean_token_accuracy": 0.24913241416215898, + "num_tokens": 20445968.0, + "step": 9105 + }, + { + "entropy": 5.417423820495605, + "epoch": 9.849107625743645, + "grad_norm": 1.046875, + "learning_rate": 5.028057576389131e-05, + "loss": 4.5998, + "mean_token_accuracy": 0.24417240023612977, + "num_tokens": 20457449.0, + "step": 9110 + }, + { + "entropy": 5.441926002502441, + "epoch": 9.854515954570038, + "grad_norm": 0.94921875, + "learning_rate": 5.025957054756712e-05, + "loss": 4.6594, + "mean_token_accuracy": 0.24983467906713486, + "num_tokens": 20469111.0, + "step": 9115 + }, + { + "entropy": 5.507662200927735, + "epoch": 9.859924283396431, + "grad_norm": 1.1015625, + "learning_rate": 5.023938203848292e-05, + "loss": 4.7559, + "mean_token_accuracy": 0.23410191386938095, + "num_tokens": 20480169.0, + "step": 9120 + }, + { + "entropy": 5.417860078811645, + "epoch": 9.865332612222822, + "grad_norm": 1.1953125, + "learning_rate": 5.02200103100038e-05, + "loss": 4.6835, + "mean_token_accuracy": 0.24552907645702363, + "num_tokens": 20491673.0, + "step": 9125 + }, + { + "entropy": 5.443130207061768, + "epoch": 9.870740941049215, + "grad_norm": 0.99609375, + "learning_rate": 5.020145543252666e-05, + "loss": 4.6644, + "mean_token_accuracy": 0.2407269924879074, + "num_tokens": 20503432.0, + "step": 9130 + }, + { + "entropy": 5.423962831497192, + "epoch": 9.876149269875608, + "grad_norm": 1.1171875, + "learning_rate": 5.018371747347995e-05, + "loss": 4.6087, + "mean_token_accuracy": 0.25442890971899035, + "num_tokens": 20513813.0, + "step": 9135 + }, + { + "entropy": 5.456471300125122, + "epoch": 9.881557598702, + "grad_norm": 1.171875, + "learning_rate": 5.0166796497323514e-05, + "loss": 4.6466, + "mean_token_accuracy": 0.24445223808288574, + "num_tokens": 20525360.0, + "step": 9140 + }, + { + "entropy": 5.423403024673462, + "epoch": 9.886965927528394, + "grad_norm": 1.109375, + "learning_rate": 5.015069256554815e-05, + "loss": 4.6036, + "mean_token_accuracy": 0.24876892566680908, + "num_tokens": 20536152.0, + "step": 9145 + }, + { + "entropy": 5.5007476806640625, + "epoch": 9.892374256354787, + "grad_norm": 1.125, + "learning_rate": 5.013540573667565e-05, + "loss": 4.6899, + "mean_token_accuracy": 0.24543598145246506, + "num_tokens": 20548376.0, + "step": 9150 + }, + { + "entropy": 5.466801023483276, + "epoch": 9.89778258518118, + "grad_norm": 1.0234375, + "learning_rate": 5.012093606625829e-05, + "loss": 4.6911, + "mean_token_accuracy": 0.2477034479379654, + "num_tokens": 20560648.0, + "step": 9155 + }, + { + "entropy": 5.439563846588134, + "epoch": 9.903190914007572, + "grad_norm": 1.125, + "learning_rate": 5.010728360687899e-05, + "loss": 4.6169, + "mean_token_accuracy": 0.24860749542713165, + "num_tokens": 20571497.0, + "step": 9160 + }, + { + "entropy": 5.449678564071656, + "epoch": 9.908599242833965, + "grad_norm": 1.1171875, + "learning_rate": 5.009444840815076e-05, + "loss": 4.6642, + "mean_token_accuracy": 0.24787997156381608, + "num_tokens": 20582537.0, + "step": 9165 + }, + { + "entropy": 5.497270727157593, + "epoch": 9.914007571660356, + "grad_norm": 1.2734375, + "learning_rate": 5.0082430516716744e-05, + "loss": 4.6705, + "mean_token_accuracy": 0.25098648220300673, + "num_tokens": 20592975.0, + "step": 9170 + }, + { + "entropy": 5.420807123184204, + "epoch": 9.919415900486749, + "grad_norm": 1.1328125, + "learning_rate": 5.0071229976250014e-05, + "loss": 4.6478, + "mean_token_accuracy": 0.24457350969314576, + "num_tokens": 20602882.0, + "step": 9175 + }, + { + "entropy": 5.507314825057984, + "epoch": 9.924824229313142, + "grad_norm": 1.15625, + "learning_rate": 5.006084682745333e-05, + "loss": 4.7903, + "mean_token_accuracy": 0.23548590540885925, + "num_tokens": 20614583.0, + "step": 9180 + }, + { + "entropy": 5.458244752883911, + "epoch": 9.930232558139535, + "grad_norm": 1.1796875, + "learning_rate": 5.005128110805909e-05, + "loss": 4.6406, + "mean_token_accuracy": 0.25210656225681305, + "num_tokens": 20625220.0, + "step": 9185 + }, + { + "entropy": 5.440846300125122, + "epoch": 9.935640886965928, + "grad_norm": 1.1640625, + "learning_rate": 5.004253285282914e-05, + "loss": 4.6836, + "mean_token_accuracy": 0.24455445110797883, + "num_tokens": 20637140.0, + "step": 9190 + }, + { + "entropy": 5.5043188571929935, + "epoch": 9.94104921579232, + "grad_norm": 1.09375, + "learning_rate": 5.003460209355466e-05, + "loss": 4.7601, + "mean_token_accuracy": 0.23948580771684647, + "num_tokens": 20649950.0, + "step": 9195 + }, + { + "entropy": 5.385462665557862, + "epoch": 9.946457544618713, + "grad_norm": 1.1875, + "learning_rate": 5.002748885905607e-05, + "loss": 4.605, + "mean_token_accuracy": 0.24712201058864594, + "num_tokens": 20660634.0, + "step": 9200 + }, + { + "entropy": 5.432829427719116, + "epoch": 9.951865873445106, + "grad_norm": 1.0859375, + "learning_rate": 5.002119317518284e-05, + "loss": 4.6603, + "mean_token_accuracy": 0.2484524056315422, + "num_tokens": 20672358.0, + "step": 9205 + }, + { + "entropy": 5.459254884719849, + "epoch": 9.957274202271497, + "grad_norm": 1.1953125, + "learning_rate": 5.001571506481354e-05, + "loss": 4.6406, + "mean_token_accuracy": 0.24826426208019256, + "num_tokens": 20682764.0, + "step": 9210 + }, + { + "entropy": 5.419671297073364, + "epoch": 9.96268253109789, + "grad_norm": 1.046875, + "learning_rate": 5.001105454785561e-05, + "loss": 4.6424, + "mean_token_accuracy": 0.24493545591831206, + "num_tokens": 20694370.0, + "step": 9215 + }, + { + "entropy": 5.415280485153199, + "epoch": 9.968090859924283, + "grad_norm": 1.0859375, + "learning_rate": 5.000721164124535e-05, + "loss": 4.5283, + "mean_token_accuracy": 0.26106267124414445, + "num_tokens": 20705238.0, + "step": 9220 + }, + { + "entropy": 5.509817981719971, + "epoch": 9.973499188750676, + "grad_norm": 1.1640625, + "learning_rate": 5.000418635894798e-05, + "loss": 4.6996, + "mean_token_accuracy": 0.24225371479988098, + "num_tokens": 20716351.0, + "step": 9225 + }, + { + "entropy": 5.395417404174805, + "epoch": 9.978907517577069, + "grad_norm": 1.1953125, + "learning_rate": 5.000197871195729e-05, + "loss": 4.6064, + "mean_token_accuracy": 0.24566565006971358, + "num_tokens": 20726942.0, + "step": 9230 + }, + { + "entropy": 5.454737710952759, + "epoch": 9.984315846403462, + "grad_norm": 1.0859375, + "learning_rate": 5.000058870829594e-05, + "loss": 4.628, + "mean_token_accuracy": 0.2576532900333405, + "num_tokens": 20737560.0, + "step": 9235 + }, + { + "entropy": 5.5028311252594, + "epoch": 9.989724175229854, + "grad_norm": 1.09375, + "learning_rate": 5.000001635301515e-05, + "loss": 4.63, + "mean_token_accuracy": 0.2516250252723694, + "num_tokens": 20747614.0, + "step": 9240 + } + ], + "logging_steps": 5, + "max_steps": 9240, + "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": 4808970068705280.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-9240/training_args.bin b/checkpoint-9240/training_args.bin new file mode 100644 index 0000000..fd76eda --- /dev/null +++ b/checkpoint-9240/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944 diff --git a/config.json b/config.json new file mode 100644 index 0000000..6aa3e79 --- /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": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "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..26dbfa4 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,11 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001, + 3, + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..e682374 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aa5802f557ea6c45993bb1332edd55682b0a29af25ce1b914aae1a13e880f725 +size 78179408 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": "", + "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": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/spiece.model b/spiece.model new file mode 100644 index 0000000..6bb4e05 --- /dev/null +++ b/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0cc7d2d7e6989f700f65432cac2fcb2a9e872d11d2c9166338a1cc423019e6e +size 1100651 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": "", + "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": "", + "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": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..fd76eda --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a31c9b282efbe17173fdf2b123e2fc3c11ac1221704e23657b3bfb99016626b3 +size 5944